2026 Bin Cui: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	4138	4023	556	553	267	10416

Bin Cui publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bin Cui sits on this spectrum.

32 publications 991+

This scientist: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Bin Cui D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bin Cui sits on this spectrum.

30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Bin Cui is affiliated with Peking University in China and specializes primarily in the field of Computer Science, with a total of 508 publications. Their research encompasses several subfields, such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Signal Processing.

The scientist's work covers a range of main topics, including:

Advanced Graph Neural Networks
Recommender Systems and Techniques
Caching and Content Delivery
Machine Learning and Data Classification
Data Stream Mining Techniques
Graph Theory and Algorithms
Advanced Neural Network Applications

Bin Cui has contributed extensively to academic literature, with recent notable papers including:

"Diffusion Models: A Comprehensive Survey of Methods and Applications," 2023, published in ACM Computing Surveys
"Graph Neural Networks in Recommender Systems: A Survey," 2022, published in ACM Computing Surveys
"Contrastive Learning for Sequential Recommendation," 2022, presented at the 2022 IEEE 38th International Conference on Data Engineering (ICDE)
"Graph Neural Networks in Recommender Systems: A Survey," 2020, published in arXiv (Cornell University)
"Graph Attention Multi-Layer Perceptron," 2022, presented at the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Frequent coauthors collaborating with Bin Cui include Wentao Zhang, Xupeng Miao, Fangcheng Fu, Tong Yang, and Yingxia Shao.

The scientist has published extensively in key venues, such as:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the ACM on Management of Data
The VLDB Journal

In addition to journal and conference papers, Bin Cui has authored several books. Notable publishers include Springer Science+Business Media and Springer Nature. Book titles include "Database Systems for Advanced Applications" (2020) and "Distributed Machine Learning and Gradient Optimization" (2022), as well as "Large-scale Graph Analysis: System, Algorithm and Optimization" (2020).

Best Publications

Graph Neural Networks in Recommender Systems: A Survey

Shiwen Wu;Wentao Zhang;Fei Sun;Bin Cui

1013
Citations
Contrastive Learning for Sequential Recommendation

Xu Xie;Fei Sun;Zhaoyang Liu;Shiwen Wu

542
Citations
LCARS: a location-content-aware recommender system

Hongzhi Yin;Yizhou Sun;Bin Cui;Zhiting Hu

428
Citations
Supporting frequent updates in R-trees: a bottom-up approach

Mong Li Lee;Wynne Hsu;Christian S. Jensen;Bin Cui

303
Citations
Challenging the long tail recommendation

Hongzhi Yin;Bin Cui;Jing Li;Junjie Yao

274
Citations
Adapting to User Interest Drift for POI Recommendation

Hongzhi Yin;Xiaofang Zhou;Bin Cui;Hao Wang

274
Citations
Heterogeneity-aware Distributed Parameter Servers

Jiawei Jiang;Bin Cui;Ce Zhang;Lele Yu

198
Citations
Dynamic User Modeling in Social Media Systems

Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

189
Citations
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation

Hongzhi Yin;Bin Cui;Xiaofang Zhou;Weiqing Wang

180
Citations
LCARS: A Spatial Item Recommender System

Hongzhi Yin;Bin Cui;Yizhou Sun;Zhiting Hu

175
Citations
A temporal context-aware model for user behavior modeling in social media systems

Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

173
Citations
Modeling Location-Based User Rating Profiles for Personalized Recommendation

Hongzhi Yin;Bin Cui;Ling Chen;Zhiting Hu

170
Citations
Parallel subgraph listing in a large-scale graph

Yingxia Shao;Bin Cui;Lei Chen;Lin Ma

142
Citations
Routing Questions to the Right Users in Online Communities

Yanhong Zhou;Gao Cong;Bin Cui;Christian S. Jensen

140
Citations
The use of categorization information in language models for question retrieval

Xin Cao;Gao Cong;Bin Cui;Christian Søndergaard Jensen

139
Citations
A generalized framework of exploring category information for question retrieval in community question answer archives

Xin Cao;Gao Cong;Bin Cui;Christian S. Jensen

139
Citations
Efficient index-based KNN join processing for high-dimensional data

Cui Yu;Bin Cui;Shuguang Wang;Jianwen Su

135
Citations
Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing

Yang Zhou;Tong Yang;Jie Jiang;Bin Cui

133
Citations
Parallel Distributed Processing of Constrained Skyline Queries by Filtering

Bin Cui;Hua Lu;Quanqing Xu;Lijiang Chen

133
Citations
TencentRec: Real-time Stream Recommendation in Practice

Yanxiang Huang;Bin Cui;Wenyu Zhang;Jie Jiang

124
Citations

Frequent Co-Authors

Hongzhi Yin University of Queensland

Heng Tao Shen University of Electronic Science and Technology of China

Ce Zhang ETH Zurich

Kian-Lee Tan National University of Singapore

Lei Chen Hong Kong University of Science and Technology

Gao Cong Nanyang Technological University

Xiaofang Zhou Hong Kong University of Science and Technology

Zi Huang University of Queensland

Jialie Shen City, University of London

Hua Lu Aalborg University

External Links

Google Scholar page

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