Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Prof. Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

University of British Columbia | Canada

Dr. Yi Qian is an accomplished researcher in econometrics, marketing science, and applied statistics, affiliated with the University of British Columbia. With a strong portfolio of peer-reviewed publications and several hundred citations, her work focuses on endogeneity correction, causal inference, and consumer behavior analytics. She has introduced advanced methodologies, including copula-based regressors and semiparametric estimation techniques, published in leading journals such as Journal of Marketing Research, Marketing Science, and Statistics in Medicine. Collaborating with scholars like Hui Xie and Fan Yang, her research delivers impactful insights for policy design, healthcare evaluation, and data-driven decision-making.

Citation Metrics (Scopus)

600

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200

0

Citations
466

Documents
21

h-index
9

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Impacts of entry by counterfeiters.

– The Quarterly Journal of Economics, 123(4), 1577–1609. (2008). Cited By: 218

Brand management and strategies against counterfeits.

– Journal of Economics & Management Strategy, 23(2), 317–343. (2014). Cited By: 168

Factors affecting the effectiveness of cause-related marketing: A meta-analysis.

– Journal of Business Ethics, 175(2), 339–360. (2022). Cited By: 120

Signaling virtuous victimhood as indicators of Dark Triad personalities.

– Journal of Personality and Social Psychology, 120(6), 1634–1661. (2021).  Cited By: 119

Francesco Fiorini | Emerging Trends and Future Directions | Editorial Board Member

Dr. Francesco Fiorini | Emerging Trends and Future Directions | Editorial Board Member

University of Pisa | Italy

Dr. Francesco Fiorini is a PhD researcher at the University of Pisa, Italy, and a former Visiting Scholar at the Superconducting Quantum Materials and Systems Center (SQMS) at Fermi National Accelerator Laboratory, Chicago. His research focuses on telecommunications, quantum communication, network security, and queuing analysis. With 11 scholarly publications, 14 citations, and an h-index of 2, he has contributed to reputable venues including IEEE journals and conferences. His work spans quantum key distribution security, AI-driven modeling, and network performance analysis. Through international collaborations and interdisciplinary research, his studies contribute to advancing secure communication systems and intelligent networking technologies for next-generation digital infrastructures.

 

Citation Metrics (Scopus)

20

15

10

5

0

Citations
14

Documents
11

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Nisharg Nargund | Document Image Analysis | Young Researcher Award

Mr. Nisharg Nargund | Document Image Analysis | Young Researcher Award

Undergrad Researcher | Kalinga Institute of Industrial Technology | India

Mr. Nisharg Nargund is an emerging researcher in artificial intelligence and machine learning at the Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, India. His research focuses on large language models, retrieval-augmented generation, transformer architectures, and multi-agent AI systems. He has authored Ten scholarly and professional publications, with 2 Scopus-indexed documents receiving 19 citations and an h-index of 1. His work has been presented at leading international conferences, earning Best Paper and Best Poster awards. Through academic collaborations, industry internships, and open-source projects, his research contributes to scalable, ethical, and societally impactful AI solutions in education, language technology, and industry.

 

Citation Metrics (Scopus)

30

20

10

0

Citations
19

Documents
2

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Deep learning in Industry 4.0: Transforming manufacturing through data-driven innovation.

– In Distributed Computing and Intelligent Technology: 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17–20, 2024, Proceedings. (2024). Cited By : 31

Conversational text extraction with large language models using retrieval-augmented systems.

– In Proceedings of the 6th International Conference on Computational Intelligence and Networks . (2025). Cited By : 5

Innovative fusion of LSTM and Bi-GRU networks for enhanced hate speech detection in social media.

– International Research Journal of Modernization in Engineering Technology and Science (IRJMETS). (2024). 

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Prof. Dr. Shaofeng Shao | AI-driven Material Discovery | Best Researcher Award

Nanjing University of Information Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; J. Li, Jiale; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: ACS Sensors
    Year: 2025

Language Model-Assisted Machine Learning, Photoelectrochemical, and First-Principles Investigation of Compatible Solvents for a CH3NH3PbI3 Film in Water

  • Authors: Y. Huang, Yiru; S. Li, Shenyue; W. Hu, Wenguang; Q. Li, Qingfang; L. Zhang, Lei
    Journal: ACS Applied Materials and Interfaces
    Year: 2024

Data-driven exploration of terbium-doped tungsten oxide for Ultra-Precise detection of 3H-2B: Implications for gas sensor applications

  • Authors: S. Shao, Shaofeng; L. Yan, Liangwei; L. Zhang, Lei; H.W. Kim, Hyoun Woo; S.S. Kim, Sang Sub
    Journal: Chemical Engineering Journal
    Year: 2024

Ionic liquid-assisted preparation of Ag–Zn–In–S quaternary quantum dot thin films and luminescence performance optimized by machine learning

  • Authors: S. Wei, Song; X. Luo, Xiang; S. Shao, Shaofeng; L. Zhang, Lei
    Journal: Dyes and Pigments
    Year: 2024

Prof. Nita Sukdeo | Emerging Trends and Future Directions | Best Researcher Award

Prof. Nita Sukdeo | Emerging Trends and Future Directions | Best Researcher Award

Professor at University of Johannesburg, South Africa

👨‍🎓 Profiles

Scopus

Orcid

Publications

The Role of Industry 4.0 in Enhancing Quality in the Fast-Moving Consumer Goods (FMCG) Industry

  • Author: Makgabo, M.L., Sukdeo, N., Lumbwe, A.K., Mukwakungu, S.C.
  • Journal: Lecture Notes in Mechanical Engineering
  • Year: 2025

The Effect of Service Delivery Automation (SDA) on the South African Banking Industry

  • Authors: Akilimalissiga, S., Sukdeo, N.I.
  • Journal: South African Journal of Industrial Engineering
  • Year: 2024

Culture-driven Quality Enhancement: Uncovering the Impact of Robotics Integration in the South African Construction Sector

  • Author: Faltein, S.A., Sukdeo, N.I.
  • Journal: Ain Shams Engineering Journal
  • Year: 2024

Silicon Nanoparticles Derived from Waste Rice Husk as Potential Siliconizing Material for Mild Steel

  • Author: Aigbodion, V.S., Ozor, P.A., Sukdeo, N.
  • Journal: Solid State Phenomena
  • Year: 2024

Prof Dr. Yufang Chen | Emerging Trends and Future Directions | Best Researcher Award

Prof Dr. Yufang Chen | Emerging Trends and Future Directions | Best Researcher Award

Prof Dr. Yufang Chen | University of Defense Technology | China

Dr. Yufang Chen is an Associate Professor at the University of Defense Technology, where he contributes to advancements in material science and engineering. After earning his Ph.D. in 2016 from the National University of Defense Technology, he embarked on a distinguished academic career.

Professional Profiles

Scopus

Orcid

🎓 Academic and Professional Background

Yufang Chen earned his Ph.D. degree from the National University of Defense Technology in 2016. Following this, he joined the faculty at the Department of Material Science and Engineering, where he is currently serving as an Associate Professor in the Energy Material and Devices Group. Over the years, Professor Chen has established himself as a prominent researcher in his field, contributing extensively to advancing energy storage technologies.

🔬 Research Interests

Professor Yufang Chen’s research is centered on cutting-edge developments in high-energy lithium-ion batteries , sodium-ion batteries , and flexible energy storage devices . These focus areas are critical in meeting the growing global demand for sustainable and high-performance energy solutions. His work is dedicated to designing and optimizing innovative materials and advanced devices that enhance energy efficiency, storage capacity, and flexibility. By addressing key challenges in energy storage, his research contributes significantly to the advancement of renewable energy systems and the realization of a sustainable future.

đź’ˇ Impact and Recognition

Through his groundbreaking research in energy storage technologies, Professor Chen is playing a crucial role in developing solutions that contribute to renewable energy systems and sustainable development. His work not only furthers scientific understanding but also fosters innovations with the potential to transform everyday energy use.

Publications Top Noted📚 

“Research on self-supporting flexible cathode materials with high LFP loading based on PAN in situ inorganic reaction”

Authors: Song, W., Yang, T., Shi, X., Lu, D., Chen, Y.
Journal: Materials Letters
Year: 2025

“Study on the impact of cutoff voltage on structural and electrochemical stability of sodium-ion layered cathodes”

Authors: Wang, J., Xu, F., Fan, X., Xiao, P., Chen, Y.
Journal: Chemical Engineering Journal
Year: 2024

“Interface Engineering via Manipulating Solvation Chemistry for Liquid Lithium-Ion Batteries Operated ≥100 °C”

Authors: Gao, H., Chen, Y., Teng, T., Zheng, C., Xiao, P.
Journal: Angewandte Chemie – International Edition
Year: 2024

“The Possible Mechanism of Improving the Performance of Lead-Acid Batteries by Using Aluminum Ions to Influence the Gel Structure”

Authors: Yang, Y., Cao, J., Yu, Y., Ma, X., Liu, Y.
Journal: Energy Technology
Year: 2024

“Durable Sb/Na co-doped lithium-rich cathode material prepared by a novel planetary grinding method”

Authors: Lu, D., Song, W., Zhao, Y., Zheng, C., Chen, Y.
Journal: Materials Letters
Year: 2024