Dingding Wang
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
-
- Topic Modeling 21
- Advanced Text Analysis Techniques 17
- Natural Language Processing Techniques 12
- Text and Document Classification Technologies 11
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- Web Data Mining and Analysis 6
- Co-authors
- Karl R. Weiss (1 shared paper)Taghi M. Khoshgoftaar (1 shared paper)Tao Li (28 shared papers)Shenghuo Zhu (10 shared papers)Yihong Gong (8 shared papers)Yanfang Ye (3 shared papers)Chris Ding (4 shared papers)YE Dong-yi (2 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (3 papers)Journal Of Big Data (2 papers)Information Processing & Management (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Dingding Wang
65 papers receiving 6.0k citations
Dingding Wang's Hit Papers
Peers
Comparison fields: 5 of 199
- Artificial Intelligence 2.6k
- Signal Processing 635
- Computer Vision and Pattern Recognition 1.0k
- Information Systems 859
- Health Informatics 43
Countries citing papers authored by Dingding Wang
This map shows the geographic impact of Dingding Wang'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 Dingding Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingding Wang more than expected).
Fields of papers citing papers by Dingding Wang
This network shows the impact of papers produced by Dingding Wang. 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 Dingding Wang. The network helps show where Dingding Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingding Wang, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey of transfer learning Hit paper breakdown → | 2016 | 4166 |
| 2 | 2008 | 208 | |
| 3 | 2011 | 138 | |
| 4 | 2007 | 131 | |
| 5 | 2008 | 129 | |
| 6 | 2009 | 109 | |
| 7 | 2010 | 100 | |
| 8 | 2012 | 87 | |
| 9 | 2017 | 71 | |
| 10 | 2009 | 68 | |
| 11 | 2011 | 65 | |
| 12 | 2012 | 65 | |
| 13 | 2017 | 65 | |
| 14 | 2008 | 60 | |
| 15 | 2012 | 59 | |
| 16 | 2018 | 59 | |
| 17 | 2011 | 51 | |
| 18 | 2010 | 44 | |
| 19 | 2015 | 42 | |
| 20 | 2016 | 39 |
About Dingding Wang
Dingding Wang is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 66 papers that have together received 6.2k indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Advanced Text Analysis Techniques (17 papers), Natural Language Processing Techniques (12 papers), Text and Document Classification Technologies (11 papers), Web Data Mining and Analysis (6 papers), Advanced Malware Detection Techniques (5 papers), Data Management and Algorithms (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Signal Processing (635 citations), Computer Vision and Pattern Recognition (1.0k citations), Information Systems (859 citations) and Health Informatics (43 citations). Dingding Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Karl R. Weiss, Taghi M. Khoshgoftaar, Tao Li, Shenghuo Zhu, Yihong Gong, Yanfang Ye, Chris Ding, YE Dong-yi, Lei Li and Qingshan Jiang. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Journal Of Big Data, Information Processing & Management, IEEE Transactions on Dependable and Secure Computing and Proceedings of the VLDB Endowment.
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.