Wei Ding
Impact in
- Artificial Intelligence top 0.5%
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
- Information Systems top 0.5%
- Data Mining Algorithms and Applications
Papers in
-
- Anomaly Detection Techniques and Applications 17
- Topic Modeling 15
- Machine Learning and Data Classification 14
- Natural Language Processing Techniques 12
- Data Stream Mining Techniques 11
-
- Face and Expression Recognition 14
- Co-authors
- Xindong Wu (33 shared papers)Xingquan Zhu (4 shared papers)Gongqing Wu (3 shared papers)Kui Yu (20 shared papers)T. F. Stepinski (23 shared papers)Melissa S. Morabito (8 shared papers)Jian Pei (4 shared papers)Yang Mu (12 shared papers)
- Journals
- Applied Intelligence (6 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)ACM Transactions on Knowledge Discovery from Data (5 papers)IEEE Intelligent Systems (3 papers)Data Mining and Knowledge Discovery (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wei Ding
175 papers receiving 4.9k citations
Wei Ding's Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 2.6k
- Information Systems 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 521
- Management Information Systems 366
Countries citing papers authored by Wei Ding
This map shows the geographic impact of Wei Ding'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 Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ding more than expected).
Fields of papers citing papers by Wei Ding
This network shows the impact of papers produced by Wei Ding. 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 Ding. The network helps show where Wei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ding, 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Data mining with big data Hit paper breakdown → | 2013 | 1907 |
| 2 | 2012 | 230 | |
| 3 | 2016 | 121 | |
| 4 | 2011 | 114 | |
| 5 | Online Streaming Feature Selection | 2010 | 96 |
| 6 | 2021 | 92 | |
| 7 | 2019 | 92 | |
| 8 | 2014 | 79 | |
| 9 | 2011 | 69 | |
| 10 | 2018 | 66 | |
| 11 | 2011 | 66 | |
| 12 | 2012 | 62 | |
| 13 | 2016 | 62 | |
| 14 | 2014 | 59 | |
| 15 | 2014 | 55 | |
| 16 | 2008 | 55 | |
| 17 | 2013 | 54 | |
| 18 | 2019 | 50 | |
| 19 | 2016 | 50 | |
| 20 | 2019 | 49 |
About Wei Ding
Wei Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 188 papers that have together received 5.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (20 papers), Anomaly Detection Techniques and Applications (17 papers), Topic Modeling (15 papers), Face and Expression Recognition (14 papers), Machine Learning and Data Classification (14 papers), Natural Language Processing Techniques (12 papers), Data Management and Algorithms (11 papers) and Data Stream Mining Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Information Systems (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (521 citations) and Management Information Systems (366 citations). Wei Ding has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xindong Wu, Xingquan Zhu, Gongqing Wu, Kui Yu, T. F. Stepinski, Melissa S. Morabito, Jian Pei, Yang Mu, Hao Wang and Ping Chen. Their work appears in journals such as Applied Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Intelligent Systems and Data Mining and Knowledge Discovery.
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.