Jiawei Han
Impact in
- Signal Processing top 0.01%
- Data Management and Algorithms
- Information Systems top 0.01%
- Data Mining Algorithms and Applications
Papers in
-
- Topic Modeling 224
- Natural Language Processing Techniques 119
- Advanced Graph Neural Networks 112
- Text and Document Classification Technologies 90
-
- Data Mining Algorithms and Applications 201
- Co-authors
- Micheline Kamber (17 shared papers)Jian Pei (45 shared papers)Yiwen Yin (4 shared papers)Philip S. Yu (46 shared papers)Xifeng Yan (56 shared papers)Yizhou Sun (60 shared papers)Xiaofei He (25 shared papers)Jianyong Wang (20 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (38 papers)Proceedings of the VLDB Endowment (21 papers)Data Mining and Knowledge Discovery (11 papers)ACM SIGMOD Record (6 papers)Knowledge and Information Systems (6 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jiawei Han
847 papers receiving 77.9k citations
Jiawei Han's Hit Papers
Peers
Comparison fields: 5 of 233
- Signal Processing 19.9k
- Information Systems 34.8k
- Artificial Intelligence 44.2k
- Computational Theory and Mathematics 12.7k
- Statistical and Nonlinear Physics 8.2k
Countries citing papers authored by Jiawei Han
This map shows the geographic impact of Jiawei Han's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiawei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiawei Han more than expected).
Fields of papers citing papers by Jiawei Han
This network shows the impact of papers produced by Jiawei Han. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiawei Han. The network helps show where Jiawei Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiawei Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 880 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data mining: concepts and techniques Hit paper breakdown → | 2012 | 15584 |
| 2 | Mining frequent patterns without candidate generation Hit paper breakdown → | 2000 | 4911 |
| 3 | Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach Hit paper breakdown → | 2003 | 2008 |
| 4 | Graph Regularized Nonnegative Matrix Factorization for Data Representation Hit paper breakdown → | 2010 | 1930 |
| 5 | Data mining: an overview from a database perspective Hit paper breakdown → | 1996 | 1654 |
| 6 | PathSim Hit paper breakdown → | 2011 | 1406 |
| 7 | A Framework for Clustering Evolving Data Streams Hit paper breakdown → | 2003 | 1379 |
| 8 | Trajectory clustering Hit paper breakdown → | 2007 | 1102 |
| 9 | Frequent pattern mining: current status and future directions Hit paper breakdown → | 2007 | 1045 |
| 10 | Mining sequential patterns by pattern-growth: the PrefixSpan approach Hit paper breakdown → | 2004 | 1015 |
| 11 | Data Mining: Concepts and Techniques (2nd edition) Hit paper breakdown → | 2006 | 792 |
| 12 | Outlier Detection for Temporal Data: A Survey Hit paper breakdown → | 2014 | 735 |
| 13 | Multi-View Clustering via Joint Nonnegative Matrix Factorization Hit paper breakdown → | 2013 | 705 |
| 14 | FreeSpan Hit paper breakdown → | 2000 | 633 |
| 15 | Document clustering using locality preserving indexing Hit paper breakdown → | 2005 | 608 |
| 16 | Maintenance of discovered association rules in large databases: an incremental updating technique Hit paper breakdown → | 2002 | 607 |
| 17 | Exploratory mining and pruning optimizations of constrained associations rules Hit paper breakdown → | 1998 | 583 |
| 18 | Personalized entity recommendation Hit paper breakdown → | 2014 | 553 |
| 19 | Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions Hit paper breakdown → | 2014 | 529 |
| 20 | Unsupervised Disaggregation of Low Frequency Power Measurements Hit paper breakdown → | 2011 | 517 |
About Jiawei Han
Jiawei Han is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 880 papers that have together received 83.8k indexed citations. Recurring topics across this work include Topic Modeling (224 papers), Data Mining Algorithms and Applications (201 papers), Data Management and Algorithms (201 papers), Complex Network Analysis Techniques (128 papers), Natural Language Processing Techniques (119 papers), Advanced Database Systems and Queries (115 papers), Advanced Graph Neural Networks (112 papers) and Text and Document Classification Technologies (90 papers). The work is most often cited by research in Signal Processing (19.9k citations), Information Systems (34.8k citations), Artificial Intelligence (44.2k citations), Computational Theory and Mathematics (12.7k citations) and Statistical and Nonlinear Physics (8.2k citations). Jiawei Han has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Micheline Kamber, Jian Pei, Yiwen Yin, Philip S. Yu, Xifeng Yan, Yizhou Sun, Xiaofei He, Jianyong Wang, Charų C. Aggarwal and Deng Cai. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Data Mining and Knowledge Discovery, ACM SIGMOD Record and Knowledge and Information Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.