2026 Jian Pei: 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	108	254	247	140	136	491	66041

Research.com Recognitions

2019 - Fellow of the Royal Society of Canada Academy of Science
2015 - ACM Fellow For contributions to the foundation, methodology and applications of data mining.
2014 - IEEE Fellow For contributions to data mining and knowledge discovery
2007 - ACM Senior Member

Overview

Jian Pei is affiliated with Duke University in the United States and has contributed extensively to the field of computer science, particularly focusing on artificial intelligence and data mining. Their scholarly output spans multiple subfields including artificial intelligence, information systems, computer vision and pattern recognition, management science and operations research, and computer networks and communications.

Their research covers various main topics, including:

Topic Modeling
Advanced Graph Neural Networks
Privacy-Preserving Technologies in Data
Natural Language Processing Techniques
Machine Learning and Data Classification
Adversarial Robustness in Machine Learning
Recommender Systems and Techniques

Jian Pei has published frequently in notable venues such as:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the VLDB Endowment
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Some of their recent papers include:

"Personalized Cross-Silo Federated Learning on Non-IID Data," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Model complexity of deep learning: a survey," 2021, Knowledge and Information Systems
"Graph Neural Networks for Natural Language Processing: A Survey," 2023, Foundations and Trends® in Machine Learning
"Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Graph Neural Networks: Foundation, Frontiers and Applications," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

The scholar has collaborated frequently with other researchers, including:

Linjun Shou
Daxin Jiang
Lingyang Chu
Hanghang Tong
Lanjun Wang

In addition to journal and conference publications, Jian Pei has contributed to book publications with Springer Science+Business Media. Titles include "Advances in Knowledge Discovery and Data Mining" and "Artificial Intelligence" published during 2022 and 2024.

Jian Pei's professional recognition includes several prestigious awards:

Fellow of the Royal Society of Canada (2019)
ACM Fellow (2015) for contributions to the foundation, methodology, and applications of data mining
IEEE Fellow (2014) for contributions to data mining and knowledge discovery
ACM Senior Member (2007)

Best Publications

Mining frequent patterns without candidate generation

Jiawei Han;Jian Pei;Yiwen Yin

10567
Citations
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach

Jiawei Han;Jian Pei;Yiwen Yin;Runying Mao

3647
Citations
PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth

Jian Pei;Jiawei Han;B. Mortazavi-Asl;H. Pinto

3473
Citations
Mining sequential patterns by pattern-growth: the PrefixSpan approach

Jian Pei;Jiawei Han;B. Mortazavi-Asl;Jianyong Wang

1908
Citations
CMAR: accurate and efficient classification based on multiple class-association rules

Wenmin Li;Jiawei Han;Jian Pei

1861
Citations
CLOSET : An Efficient Algorithm for Mining Frequent Closed Itemsets

J. Pei

1444
Citations
Data Mining Concepts and Techniques Third Edition

Jiawei Han;Micheline Kamber;Jian Pei

1371
Citations
Asymmetric Transitivity Preserving Graph Embedding

Mingdong Ou;Peng Cui;Jian Pei;Ziwei Zhang

1333
Citations
FreeSpan: frequent pattern-projected sequential pattern mining

Jiawei Han;Jian Pei;Behzad Mortazavi-Asl;Qiming Chen

1330
Citations
A Survey on Network Embedding

Peng Cui;Xiao Wang;Jian Pei;Wenwu Zhu

1274
Citations
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth

Jian Pei;Jiawei Han;Behzad Mortazavi-Asl;Helen Pinto

996
Citations
Preserving Privacy in Social Networks Against Neighborhood Attacks

Bin Zhou;Jian Pei

975
Citations
Community preserving network embedding

Xiao Wang;Peng Cui;Jing Wang;Jian Pei

949
Citations
CLOSET+: searching for the best strategies for mining frequent closed itemsets

Jianyong Wang;Jiawei Han;Jian Pei

918
Citations
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Xiao Wang;Meiqi Zhu;Deyu Bo;Peng Cui

819
Citations
Mining Access Patterns Efficiently from Web Logs

Jian Pei;Jiawei Han;Behzad Mortazavi-Asl;Hua Zhu

817
Citations
A brief survey on sequence classification

Zhengzheng Xing;Jian Pei;Eamonn Keogh

782
Citations
Probabilistic skylines on uncertain data

Jian Pei;Bin Jiang;Xuemin Lin;Yidong Yuan

675
Citations
Context-aware query suggestion by mining click-through and session data

Huanhuan Cao;Daxin Jiang;Jian Pei;Qi He

668
Citations
H-mine: hyper-structure mining of frequent patterns in large databases

Jian Pei;Jiawei Han;Hongjun Lu;Shojiro Nishio

645
Citations
Data Mining : Concepts and Techniques 3rd edition Ed. 3

Jiawei Han;Micheline Kamber;Jian Pei

148
Citations

Frequent Co-Authors

Jiawei Han University of Illinois at Urbana-Champaign

Ke Wang Simon Fraser University

Daxin Jiang Microsoft (United States)

Xuemin Lin Shanghai Jiao Tong University

Ada Wai-Chee Fu Chinese University of Hong Kong

Guozhu Dong Wright State University

Philip S. Yu University of Illinois at Chicago

Yufei Tao Chinese University of Hong Kong

Enhong Chen University of Science and Technology of China

James Bailey University of Melbourne

External Links

Personal website of Jian Pei Google Scholar page

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