Mengying Zhang | Information Technology | Women Researcher Award

Published on by Scientific World Research Awards

Women Researcher Award

Mengying Zhang

Mengying Zhang
Affiliation Anhui University
Country China
Scopus ID 57191031563
Documents 24
Citations 330
h-index 8
Subject Area Information Technology
Event Scientific World Research Awards
ORCID 0000-0002-2789-0459

Mengying Zhang is an academic researcher associated with operational research, supply chain management, pricing strategy, and information technology studies. Her scholarly work includes investigations into online platform systems, cap-and-trade allocation models, opaque selling mechanisms, and probabilistic supply chain structures.[1]

Abstract

Mengying Zhang has contributed to research in information technology and operational research with emphasis on supply chain systems, probabilistic selling, and online marketplace structures. Her publications examine pricing models, capacity allocation mechanisms, and competitive interactions in fashion and digital commerce environments. The Women Researcher Award recognizes her scholarly participation in analytical and technology-driven research addressing modern business operations and decision-making frameworks. Her work reflects interdisciplinary engagement in optimization, platform economics, and strategic operational planning within contemporary information and management systems.[2]

Keywords

Operational Research, Supply Chain Management, Information Technology, Pricing Strategy, Marketplace Systems.

Introduction

Operational research and information technology increasingly influence modern supply chain optimization and digital marketplace systems. Mengying Zhang has participated in research exploring pricing structures, market coordination, and decision-making strategies within technology-driven commercial environments.[3]

Research Profile

Her research profile includes studies on platform supply chains, probabilistic selling, online marketplace systems, and operational optimization models. These publications contribute to analytical approaches in digital commerce and economic decision systems.[1]

Research Contributions

Mengying Zhang has contributed to research concerning cap-and-trade regulations, pricing competition in fashion supply chains, reseller marketplace strategies, and allocation mechanisms within operational systems.[4]

Publications

  • Impact of power structure on probabilistic selling in supply chains
  • Pricing and Capacity Allocation in Opaque Selling
  • Marketplace or reseller? The effect of asymmetric selling cost and demand information

Research Impact

Her research activities contribute to understanding digital commerce structures and operational management systems. The studies provide analytical perspectives applicable to platform economics, resource allocation, and supply chain decision-making processes.[5]

Award Suitability

The Women Researcher Award acknowledges academic engagement, interdisciplinary research participation, and contributions to operational research and information technology studies through peer-reviewed scholarly publications.

Conclusion

Mengying Zhang’s research profile reflects continued scholarly participation in operational research, supply chain systems, and analytical modeling relevant to digital marketplace structures and information technology applications.

References

  1. ORCID. (2026). Mengying Zhang researcher profile and publication record.
    https://orcid.org/0000-0002-2789-0459
  2. Elsevier. (n.d.). Scopus author details: Mengying Zhang, Author ID 57191031563.
    https://www.scopus.com/authid/detail.uri?authorId=57191031563
  3. International Journal of Production Economics. (2026). Impact of power structure on probabilistic selling in supply chains.
    https://doi.org/10.1016/j.ijpe.2026.109940
  4. European Journal of Operational Research. (2024). Pricing and Capacity Allocation in Opaque Selling.
    https://doi.org/10.1016/j.ejor.2024.05.022
  5. International Transactions in Operational Research. (2024). Cap allocation rules for an online platform supply chain under cap-and-trade regulation.
    https://doi.org/10.1111/itor.13268

Jianxi Zhao | Artificial Intelligence | Best Researcher Award

Published on by Scientific World Research Awards

Mr. Jianxi Zhao | Artificial Intelligence | Best Researcher Award

Beijing Information Science and Technology University, China

Mr. Jianxi Zhao is an emerging researcher recognized for his contributions to computational statistics, recurrent event analysis, and advanced statistical modeling. Affiliated with Beijing Information Science & Technology University, he has developed expertise in handling complex quantitative data through innovative analytical methodologies. His scholarly work focuses on improving statistical accuracy in situations involving intermittently observed covariates and dynamic event-driven datasets. With multiple indexed publications and a steadily growing citation record, he has demonstrated academic consistency and research capability within the field of applied statistics. His research activities emphasize methodological precision, mathematical computation, and interdisciplinary problem-solving relevant to modern scientific investigations. Through collaborations with fellow researchers and participation in scholarly publishing, he continues to strengthen his professional visibility and academic impact. Mr. Jianxi Zhao’s dedication to statistical innovation and computational research reflects strong potential for future contributions to global scientific and analytical advancement.

Professional Profile

Education

Jianxi Zhao has established a solid academic background in statistics, computational mathematics, and data-oriented scientific research. Associated with Beijing Information Science & Technology University, he has developed expertise in advanced statistical methodologies, recurrent event analysis, and mathematical modeling. His educational foundation emphasizes quantitative reasoning, analytical computation, and applied statistical interpretation, enabling him to address complex research challenges effectively. Through continuous academic engagement, he has strengthened his understanding of survival analysis, time-varying coefficient models, and intermittently observed covariate techniques. His scholarly preparation reflects dedication to methodological precision and scientific innovation. The combination of theoretical knowledge and computational capability has supported his contributions to statistical sciences and interdisciplinary analytical studies. His educational journey highlights a commitment to rigorous research practices, academic discipline, and the advancement of modern computational statistics for practical and scientific applications.

Professional Experience

Mr. Jianxi Zhao has gained valuable academic and research experience through active involvement in computational statistics and analytical modeling studies. His professional activities include conducting statistical investigations, contributing to scholarly publications, and collaborating with researchers in quantitative science disciplines. Working within the research environment of Beijing Information Science & Technology University, he has participated in projects focusing on recurrent event data, predictive modeling, and applied statistical methodologies. His experience reflects competence in handling complex datasets, developing mathematical frameworks, and interpreting analytical outcomes for scientific purposes. He has also contributed to collaborative research networks involving multiple co-authors and interdisciplinary perspectives. Through publication activities and academic engagement, he has strengthened his professional reputation within computational and statistical research communities. His growing experience demonstrates dedication to scientific inquiry, problem-solving, and the application of innovative statistical techniques in contemporary research environments.

Research Interest

The research interests of Jianxi Zhao primarily focus on computational statistics, recurrent event analysis, survival data modeling, and time-varying coefficient methodologies. His scholarly attention is directed toward developing advanced statistical approaches capable of addressing incomplete or intermittently observed covariate information in complex datasets. He is particularly interested in improving analytical accuracy and predictive reliability within biomedical statistics, longitudinal data interpretation, and mathematical computation. His work explores innovative techniques that enhance the understanding of event-driven data structures and dynamic statistical relationships. In addition, he demonstrates interest in interdisciplinary applications where computational modeling supports scientific and technological advancements. His research orientation combines theoretical development with practical implementation, contributing to the evolution of modern statistical science. By investigating sophisticated analytical frameworks, he aims to provide meaningful solutions for complex quantitative challenges across academic and applied research domains.

Award and Honor

Mr. Jianxi Zhao has earned academic recognition through his impactful research contributions in computational statistics and applied data analysis. His scholarly publications, citation record, and collaborative research activities reflect growing recognition within the scientific community. With indexed publications and measurable citation impact, he has demonstrated the quality and relevance of his research work in statistical modeling and recurrent event analysis. His contributions have strengthened his professional standing as an emerging researcher in computational and mathematical sciences. Participation in collaborative academic studies and publication in recognized scientific platforms further highlights his dedication to research excellence. Although publicly available information regarding formal awards remains limited, his academic performance, research productivity, and methodological contributions represent significant professional achievements. His growing citation influence and consistent engagement in advanced statistical research position him as a promising contributor to future scientific innovation and scholarly development within the international research landscape.

Conclusion

Mr. Jianxi Zhao demonstrates strong potential in computational statistics through impactful research, scholarly dedication, and analytical expertise. His growing academic influence and innovative statistical contributions support continued success in advanced scientific research.

Publications Top Noted

  • Title: A time-varying coefficient rate model with intermittently observed covariates for recurrent event data
    Authors: Jianxi Zhao et al.
    Year: 2025

Ilya Levin | Artificial Intelligence | Research Excellence Award

Published on by Scientific World Research Awards

Prof. Ilya Levin | Artificial Intelligence | Research Excellence Award

Professor | Holon Institute of Technology | Israel

Prof. Ilya Levin is a researcher at Holon Institute of Technology, specializing in artificial intelligence, machine learning, and educational technology. His research focuses on computational thinking, neural networks, and AI-driven learning systems. He has strong expertise in algorithm design and interdisciplinary innovation. His contributions are recognized through impactful publications and academic work. According to Scopus, he has 552 citations, 88 documents, and an h-index of 13, reflecting his significant impact in AI and education research.

 

Citation Metrics (Scopus)

552
400
250
100
0

Citations

552

Documents

88

h-index

13

Citations

Documents

h-index

View Scopus Profile View ORCID Profile View Google Scholar Profile

Featured Publications


Culture and Society in the Digital Age

– Information, 2021 (Citations: 275)


Massive open online courses – the modern concept in education and learning

– Vestnik Tomskogo State University, 2014 (Citations: 133)


Teaching machine learning in elementary school

– International Journal of Child-Computer Interaction, 2022 (Citations: 82)

 

Muhammad Furqan Zia | Artificial Intelligence | Young Scientist Award

Published on by Scientific World Research Awards

Mr. Muhammad Furqan Zia | Artificial Intelligence | Young Scientist Award

Researcher | Université du Québec à Trois-Rivières | Canada

Mr. Muhammad Furqan Zia is an emerging researcher at Université du Québec à Trois-Rivières, specializing in artificial intelligence and semantic communication. His research focuses on explainable AI and intelligent communication systems, addressing transparency and efficiency challenges. He has skills in AI modeling, data analysis, and system design, contributing to scholarly publications. His work is gaining recognition in the research community. According to Scopus, he has 5 citations, 4 documents, and an h-index of 2, reflecting his growing academic impact.

 

Citation Metrics (Scopus)

5
4
3
2
0

Citations

5

Documents

4

h-index

2

Citations

Documents

h-index

View Scopus Profile View ORCID Profile View Google Scholar Profile

Featured Publications


An Advanced Non-Orthogonal Multiple Access Security Technique for Future Wireless Communication Networks

– RS Open Journal on Innovative Communication Technologies, 2020 (Citations: 27)

 

Francisco Javier Álvaro Afonso | Artificial Intelligence | Best Researcher Award

Published on by Scientific World Research Awards

Prof. Dr. Francisco Javier Álvaro Afonso | Artificial Intelligence | Best Researcher Award

Universidad Complutense De Madrid, Spain

Prof. Dr. Francisco Javier Álvaro-Afonso is a visionary clinical researcher specializing in diabetic foot osteomyelitis, blending podiatry, pharmacy, and cutting-edge AI diagnostics. Holding a PhD in Podiatry, he excels in pioneering non-invasive strategies for bone infection detection, leveraging radiographic interpretation and deep learning models to reshape clinical decision-making. With a robust h-index and over 1,500 citations, his scholarly footprint spans high-impact journals and international collaborations. He balances academic rigor with real-world impact, guiding best practices through his clinical experience at Complutense University and the Diabetic Foot Unit. His work empowers both patients and practitioners with smarter, faster, and more accurate diagnostic tools, leading to better outcomes and improved quality of life. Innovative, interdisciplinary, and deeply committed to transforming diabetic foot care, Prof. Álvaro-Afonso consistently sets a high bar for research excellence and patient-centered innovation.

Professional Profile

Google Scholar  | Scopus Profile |  ORCID Profile

Education

Prof. Dr. Francisco Javier Álvaro Afonso possesses a diverse and robust academic background that forms the foundation of his professional excellence. He earned his PhD in Podiatry from the Complutense University of Madrid, focusing his thesis on the interobserver variability of the probe-to-bone test and plain radiographs in diagnosing diabetic foot osteomyelitis. This was preceded by an Official Master’s Degree in Healthcare Research from the same institution, which strengthened his expertise in evidence-based medical practices. His academic journey also includes a Degree in Podiatry, completed, and a Degree in Pharmacy obtained, both from the Complutense University of Madrid. This multidisciplinary education enables him to merge clinical knowledge with pharmaceutical insights, allowing a more holistic approach to patient care. His formal education, characterized by both breadth and depth, has played a critical role in shaping his innovative research and teaching methodologies in healthcare sciences.

Experience

Prof. Dr. Francisco Javier Álvaro Afonso serves as a full-time professor in the Department of Nursing at the Faculty of Nursing, Physiotherapy, and Podiatry at the Complutense University of Madrid. In this role, he contributes extensively to the academic development of students while advancing research in podiatric medicine. Beyond academia, he practices as a Deputy Podiatrist at the Diabetic Foot Unit of the University Podiatric Clinic at UCM, where he applies his clinical expertise to improve patient outcomes. He is also an active research member of the Interdisciplinary Diabetic Foot Study Group at the Health Research Institute of Hospital Clínico San Carlos (IdISSC) in Madrid. His professional experience reflects a seamless integration of teaching, research, and clinical service, allowing him to translate scientific findings into practical healthcare solutions. His leadership extends to coordinating innovative technology transfer projects, bridging the gap between medical research and its application in everyday clinical settings.

Research Interest

Prof. Dr. Francisco Javier Álvaro Afonso’s research interests lie at the intersection of clinical podiatry, diagnostic imaging, and artificial intelligence applications in healthcare. His work primarily focuses on the diagnosis and management of diabetic foot osteomyelitis, a serious complication that significantly impacts patient mobility and quality of life. He has developed advanced diagnostic strategies that enhance the accuracy of plain radiograph interpretation and has contributed to refining clinical diagnostic tools used in global practice. Additionally, he explores the use of artificial intelligence for automated detection of osteomyelitis, aiming to reduce diagnostic delays and improve treatment outcomes. His research has had a direct impact on international guidelines, ensuring that evidence-based practices are adopted worldwide. With a commitment to innovation and interdisciplinary collaboration, his work continues to bridge the gap between clinical expertise and emerging technologies, setting new standards for diabetic foot care and related healthcare challenges.

Award and Honor

Throughout his career, Prof. Dr. Francisco Javier Álvaro Afonso has received notable recognition for his contributions to podiatric medicine and healthcare research. He has been invited to speak at prestigious international conferences across Europe and Latin America, sharing his expertise with academic and clinical audiences. His reputation as a leading researcher is further evidenced by his role as a reviewer and invited editor for high-impact scientific journals in diabetic foot research and medical imaging. He has also served as principal investigator and coordinator for innovative teaching and healthcare technology projects, many of which have received institutional and academic commendations. These honors reflect his commitment to advancing both the science and practice of podiatric medicine, as well as his dedication to mentoring the next generation of researchers and clinicians. His awards and professional distinctions underscore his position as a respected and influential figure in his field.

Publication Top Notes

  • Title: Analysis of transfer lesions in patients who underwent surgery for diabetic foot ulcers located on the plantar aspect of the metatarsal heads
    Authors: RJ Molines‐Barroso, JL Lazaro‐Martinez, J Aragon‐Sanchez, FJ Álvaro-Afonso, et al.
    Year: 2013
    Citations: 101

  • Title: Clinical efficacy of therapeutic footwear with a rigid rocker sole in the prevention of recurrence in patients with diabetes mellitus and diabetic polineuropathy: A randomized trial
    Authors: M López-Moral, JL Lázaro-Martínez, E García-Morales, Y García-Álvarez, FJ Álvaro-Afonso, et al.
    Year: 2019
    Citations: 83

  • Title: Metalloproteinases in chronic and acute wounds: A systematic review and meta‐analysis
    Authors: A Tardáguila‐García, E García‐Morales, JM García‐Alamino, FJ Álvaro-Afonso, et al.
    Year: 2019
    Citations: 81

  • Title: The best way to reduce reulcerations: if you understand biomechanics of the diabetic foot, you can do it
    Authors: JL Lázaro-Martínez, J Aragón-Sánchez, FJ Álvaro-Afonso, et al.
    Year: 2014
    Citations: 71

  • Title: Topical treatment for plantar warts: A systematic review
    Authors: S García‐Oreja, FJ Álvaro‐Afonso, Y García‐Álvarez, E García‐Morales, et al.
    Year: 2021
    Citations: 67

  • Title: Clinical and Histological Outcomes of Negatively Charged Polystyrene Microspheres Applied Daily Versus Three Times per Week in Hard-to-Heal Diabetic Foot Ulcers: A Randomized Blinded Controlled Trial
    Authors: José Luis Lázaro-Martínez, Marta García-Madrid, Mateo López-Moral, Aroa Tardáguila-García, Francisco Javier Álvaro-Afonso, Yolanda García-Álvarez
    Year: 2025

  • Title: Comparative Clinical Outcomes of Patients with Diabetic Foot Infection Caused by MRSA or MSSA
    Authors: Francisco Javier Álvaro-Afonso, Esther García-Morales, Mateo López-Moral, Luis Alou-Cervera, Raúl Molines-Barroso, José Luis Lázaro-Martínez
    Year: 2025
    Citations: 6

  • Title: Effect of physical activity on tissue perfusion in patients with diabetes mellitus: Systematic review and meta-analysis
    Authors: Laura Palacios-Abril, Aroa Tardáguila-García, Francisco Javier Álvaro-Afonso, Sara García-Oreja, Sol Tejeda-Ramírez, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Using Artificial Intelligence for Detecting Diabetic Foot Osteomyelitis: Validation of Deep Learning Model for Plain Radiograph Interpretation
    Authors: Francisco Javier Álvaro-Afonso, Aroa Tardáguila-García, Mateo López-Moral, Irene Sanz-Corbalán, Esther García-Morales, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Clinical Effects of Weekly and Biweekly Low-Frequency Ultrasound Debridement Versus Standard of Wound Care in Patients with Diabetic Foot Ulcers: A Pilot Randomized Clinical Trial
    Authors: Sebastián Flores-Escobar, Yolanda García-Álvarez, Francisco Javier Álvaro-Afonso, Mateo López-Moral, Marta García-Madrid, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Red-Laser Photodynamic Therapy with Toluidine Blue Gel as an Adjuvant to Topical Antifungal Treatments for Onychomycosis in Patients with Diabetes: A Prospective Case Series
    Authors: David Navarro-Pérez, Sara García-Oreja, Francisco Javier Álvaro-Afonso, Mateo López-Moral, José Luis Lázaro-Martínez, Aroa Tardáguila-García
    Year: 2025

  • Title: Diode Laser and Red-Laser Photodynamic Therapy with Toluidine Blue Gel for the Treatment of Onychomycosis: A Case Series
    Authors: Sara García-Oreja, Francisco Javier Álvaro-Afonso, Aroa Tardáguila-García, David Navarro-Pérez, Esther Alicia García-Morales, José Luis Lázaro-Martínez
    Year: 2025

Conclusion

Prof. Dr. Francisco Javier Álvaro-Afonso’s research corpus demonstrates a consistent and impactful focus on diabetic foot complications, wound healing, biomechanics, and innovative treatment approaches. His contributions span randomized clinical trials, systematic reviews, biomechanical studies, and the integration of artificial intelligence in diagnostic imaging. With multiple high-citation works, particularly in diabetic foot biomechanics and wound care, his publications have significantly influenced clinical practices and preventive strategies worldwide. His recent explorations into laser therapy, ultrasound debridement, and AI-powered diagnostics highlight his forward-looking approach to improving patient outcomes in podiatric medicine.