2026 Jianyong Wang: 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	52	4962	4826	666	662	151	18079

Research.com Recognitions

2017 - IEEE Fellow For development of efficient data mining algorithms

Overview

Jianyong Wang is affiliated with Tsinghua University in China and has contributed extensively to computer science, particularly within artificial intelligence and related subfields. Their research spans a variety of topics, with a focus on techniques in natural language processing, machine learning, and information systems.

The scientist's recent publications include the following works:

Retentive Network: A Successor to Transformer for Large Language Models, 2023, arXiv (Cornell University)
Entity Linking Meets Deep Learning: Techniques and Solutions, 2021, IEEE Transactions on Knowledge and Data Engineering
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing, 2023, ACM Transactions on Information Systems
Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories, 2020, IEEE Transactions on Neural Networks and Learning Systems
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The primary publication venues for Jianyong Wang include:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
ACM Transactions on Information Systems
Proceedings of the AAAI Conference on Artificial Intelligence
Mechanics of Advanced Materials and Structures

Frequent co-authors associated with their work are Wei Zhang, Xiuxing Li, Wei Shen, Xiaojie Yuan, and Zeyuan Chen.

Key research fields and subfields explored include:

Computer Science
Artificial Intelligence
Information Systems
Computer Vision and Pattern Recognition
Transportation
Plant Science

The scientist's work addresses a range of main topics such as:

Topic Modeling
Natural Language Processing Techniques
Advanced Graph Neural Networks
Recommender Systems and Techniques
Text and Document Classification Technologies
Machine Learning in Healthcare
Machine Learning and Data Classification

Among the awards received, Jianyong Wang was named an IEEE Fellow in 2017 for contributions to the development of efficient data mining algorithms.

Best Publications

A framework for clustering evolving data streams

Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

2696
Citations
Mining sequential patterns by pattern-growth: the PrefixSpan approach

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

1908
Citations
BIDE: efficient mining of frequent closed sequences

J. Wang;J. Han

953
Citations
CLOSET+: searching for the best strategies for mining frequent closed itemsets

Jianyong Wang;Jiawei Han;Jian Pei

918
Citations
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions

Wei Shen;Jianyong Wang;Jiawei Han

884
Citations
A framework for projected clustering of high dimensional data streams

Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

775
Citations
A dirichlet multinomial mixture model-based approach for short text clustering

Jianhua Yin;Jianyong Wang

626
Citations
EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data

Guoliang Li;Beng Chin Ooi;Jianhua Feng;Jianyong Wang

585
Citations
Comparing stars: on approximating graph edit distance

Zhiping Zeng;Anthony K. H. Tung;Jianyong Wang;Jianhua Feng

499
Citations
Multi-dimensional regression analysis of time-series data streams

Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

471
Citations
Frequent pattern mining with uncertain data

Charu C. Aggarwal;Yan Li;Jianyong Wang;Jing Wang

413
Citations
Mining top-k frequent closed patterns without minimum support

Jiawei Han;Jianyong Wang;Ying Lu;P. Tzvetkov

399
Citations
On demand classification of data streams

Charu C. Aggarwal;Jiawei Han;Jianyong Wang;Philip S. Yu

390
Citations
TFP: an efficient algorithm for mining top-k frequent closed itemsets

Jianyong Wang;J. Han;Y. Lu;P. Tzvetkov

319
Citations
Effective keyword search for valuable lcas over xml documents

Guoliang Li;Jianhua Feng;Jianyong Wang;Lizhu Zhou

310
Citations
LINDEN: linking named entities with knowledge base via semantic knowledge

Wei Shen;Jianyong Wang;Ping Luo;Min Wang

289
Citations
Frequent Closed Sequence Mining without Candidate Maintenance

Jianyong Wang;Jiawei Han;Chun Li

282
Citations
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

245
Citations
HARMONY: Efficiently Mining the Best Rules for Classification

Jianyong Wang;George Karypis

235
Citations
Coherent closed quasi-clique discovery from large dense graph databases

Zhiping Zeng;Jianyong Wang;Lizhu Zhou;George Karypis

203
Citations
Linking named entities in Tweets with knowledge base via user interest modeling

Wei Shen;Jianyong Wang;Ping Luo;Min Wang

202
Citations

Frequent Co-Authors

Jiawei Han University of Illinois at Urbana-Champaign

Jianhua Feng Tsinghua University

Min Wang Google (United States)

Charu C. Aggarwal IBM (United States)

George Karypis University of Minnesota

Jian Pei Duke University

Philip S. Yu University of Illinois at Chicago

Guozhu Dong Wright State University

Benjamin W. Wah Chinese University of Hong Kong

Yixin Chen Washington University in St. Louis

External Links

Personal website of Jianyong Wang Google Scholar page

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