Wei Fan
Impact in
- Artificial Intelligence top 0.1%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Machine Learning and Data Classification 30
- Data Stream Mining Techniques 24
- Topic Modeling 23
- Advanced Graph Neural Networks 14
- Imbalanced Data Classification Techniques 13
- Text and Document Classification Technologies 13
- Anomaly Detection Techniques and Applications 12
-
- Data Mining Algorithms and Applications 16
- Co-authors
- Philip S. YuHaixun WangJiawei HanAlbert BifetJing GaoYaliang LiBo ZhaoLü Su
- Journals
- IEEE Transactions on Knowledge and Data Engineering (5 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)International Journal of Machine Learning and Cybernetics (2 papers)Knowledge and Information Systems (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wei Fan
127 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 4.2k
- Computer Science Applications 475
- Signal Processing 862
- Information Systems 1.1k
- Computer Networks and Communications 1.1k
Countries citing papers authored by Wei Fan
This map shows the geographic impact of Wei Fan'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 Wei Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fan more than expected).
Fields of papers citing papers by Wei Fan
This network shows the impact of papers produced by Wei Fan. 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 Wei Fan. The network helps show where Wei Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 7 | |
| 10 | Cooperative Denoising for Distantly Supervised Relation Extraction | 2018 | 12 |
| 11 | Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge | 2018 | 16 |
| 12 | Joint Transfer and Batch-mode Active Learning | 2013 | 49 |
| 13 | Design and implementation of ocean catch data input and analysis module——an example of Chilean jack mackerel fishery | 2011 | 0 |
| 14 | 2010 | 113 | |
| 15 | Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models | 2009 | 68 |
| 16 | Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S | 2007 | 61 |
| 17 | Rough-Set-Based Spatiotemporal Assignment Mining Model with Its Application for Marine Fishery | 2005 | 1 |
| 18 | 2004 | 22 | |
| 19 | On the optimality of probability estimation by random decision trees | 2004 | 17 |
| 20 | Inductive learning in less than one sequential data scan | 2003 | 1 |
About Wei Fan
Wei Fan is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Signal Processing and Health Informatics, having authored 133 papers that have together received 5.4k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (30 papers), Data Stream Mining Techniques (24 papers), Topic Modeling (23 papers), Data Mining Algorithms and Applications (16 papers), Advanced Graph Neural Networks (14 papers), Imbalanced Data Classification Techniques (13 papers), Text and Document Classification Technologies (13 papers) and Anomaly Detection Techniques and Applications (12 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Science Applications (475 citations), Signal Processing (862 citations), Information Systems (1.1k citations) and Computer Networks and Communications (1.1k citations). Wei Fan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Philip S. Yu, Haixun Wang, Jiawei Han, Jiawei Han, Albert Bifet, Jing Gao, Yaliang Li, Bo Zhao, Lü Su and Jing Gao. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, International Journal of Machine Learning and Cybernetics, Knowledge and Information Systems and Scientific Reports.
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.