World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
92
Citations
41675
World Ranking
539
National Ranking
289

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2014 - ACM Distinguished Member
  • 2010 - ACM Senior Member

Overview

Hui Xiong is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the domain of Business, Management and Accounting, with significant contributions in the subfields of Marketing, Strategy and Management, Management Information Systems, Economics and Econometrics, and Organizational Behavior and Human Resource Management.

Their scholarly output includes a range of topics such as Consumer Market Behavior and Pricing, Digital Platforms and Economics, Supply Chain and Inventory Management, Consumer Retail Behavior Studies, Merger and Competition Analysis, Sustainable Supply Chain Management, and AI and HR Technologies.

Recent publications by Hui Xiong demonstrate a focus on retail competition, market strategies, and operational analyses. Notable works include:

  • Return insurance in a competitive market: Benefiting the high-quality or low-quality retailer?, 2022, International Journal of Production Economics
  • Information disclosure, consumer returns, and operational costs in omnichannel retailing, 2023, Naval Research Logistics (NRL)

In addition to these, Hui Xiong has collaborated frequently with peers such as Lu Hsiao, Ying-Ju Chen, Hengshu Zhu, and Jie Liu. Collaborations with Lu Hsiao and Ying-Ju Chen are notably recurrent, reflecting enduring research partnerships.

Hui Xiong's research appears regularly in prominent venues including arXiv (Cornell University), Naval Research Logistics (NRL), Transportation Research Part E Logistics and Transportation Review, Omega, and the SSRN Electronic Journal.

Their coauthored papers address practical aspects of retail and supply chain management, as well as theoretical contributions relating to incentives and competitive market behavior. Frequent collaboration indicates an interdisciplinary approach bridging management information systems and economics within the broader field of business studies.

Hui Xiong has been recognized with several professional distinctions, including election as a Fellow of the American Association for the Advancement of Science (AAAS) in 2020. Earlier acknowledgments include being named an ACM Distinguished Member in 2014 and an ACM Senior Member in 2010.

Best Publications

  • A Comprehensive Survey on Transfer Learning

    Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

  • Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

    Haoyi Zhou;Shanghang Zhang;Jieqi Peng;Shuai Zhang

  • Understanding of Internal Clustering Validation Measures

    Yanchi Liu;Zhongmou Li;Hui Xiong;Xuedong Gao

  • Deep Subdomain Adaptation Network for Image Classification

    Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Guolin Ke

  • A Survey on Knowledge Graph-Based Recommender Systems

    Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

  • Discovering colocation patterns from spatial data sets: a general approach

    Y. Huang;S. Shekhar;H. Xiong

  • Learning geographical preferences for point-of-interest recommendation

    Bin Liu;Yanjie Fu;Zijun Yao;Hui Xiong

  • Discovering Urban Functional ZonesUsing Latent Activity Trajectories

    Nicholas Jing Yuan;Yu Zheng;Xing Xie;Yingzi Wang

  • EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction

    Qi Liu;Zhenya Huang;Yu Yin;Enhong Chen

  • Encyclopedia of GIS

    Shashi Shekhar;Hui Xiong

  • Preserving privacy in gps traces via uncertainty-aware path cloaking

    Baik Hoh;Marco Gruteser;Hui Xiong;Ansaf Alrabady

  • K-Means Clustering Versus Validation Measures: A Data-Distribution Perspective

    Hui Xiong;Junjie Wu;Jian Chen

  • A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

    Xiaoxiao Ma;Jia Wu;Shan Xue;Jian Yang

  • Enhancing Security and Privacy in Traffic-Monitoring Systems

    B. Hoh;M. Gruteser;H. Xiong;A. Alrabady

  • An energy-efficient mobile recommender system

    Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao

  • Sequential recommender system based on hierarchical attention network

    Haochao Ying;Fuzhen Zhuang;Fuzheng Zhang;Yanchi Liu

  • Understanding and Enhancement of Internal Clustering Validation Measures

    Yanchi Liu;Zhongmou Li;Hui Xiong;Xuedong Gao

  • Failure Prediction in IBM BlueGene/L Event Logs

    Yinglung Liang;Yanyong Zhang;Hui Xiong;R. Sahoo

  • Enhancing data analysis with noise removal

    H. Xiong;Gaurav Pandey;M. Steinbach;Vipin Kumar

  • Adapting the right measures for K-means clustering

    Junjie Wu;Hui Xiong;Jian Chen

  • Introduction to special section on intelligent mobile knowledge discovery and management systems

    Hui Xiong;Shashi Shekhar;Alexander Tuzhilin

Frequent Co-Authors

Enhong Chen
Enhong Chen University of Science and Technology of China
Yong Ge
Yong Ge University of Arizona
Yanjie Fu
Yanjie Fu Arizona State University
Fuzhen Zhuang
Fuzhen Zhuang Beihang University
Junjie Wu
Junjie Wu Beihang University
Qing He
Qing He University of Chinese Academy of Sciences
Vipin Kumar
Vipin Kumar University of Minnesota
Shashi Shekhar
Shashi Shekhar University of Minnesota
Jian Chen
Jian Chen The Ohio State University
Xing Xie
Xing Xie Microsoft Research Asia (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring alternative study routes can be beneficial for those pursuing Computer Science in the USA. Many students start with an associates degree online. This option provides foundational skills and is a flexible, cost-effective way to begin a tech career or transfer credits to a four-year program.

Cost is a major factor for international and domestic students alike. Searching for the cheapest online college helps minimize student debt while maximizing educational quality. Financial accessibility opens doors to more students, regardless of their background.

Some students may worry about meeting GPA requirements. Fortunately, you can still find a reputable college that accepts low gpa. These institutions offer supportive environments and multiple pathways for academic success.

Finally, your degree can unlock diverse careers, not just in computing. For example, interdisciplinary fields are growing, and there are numerous jobs for environmental science majors that overlap with data analysis, geographic information systems, and sustainability technology.

Best Scientists Citing Hui Xiong

Trending Scientists