Dingding Wang
Impact in
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Topic Modeling
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
-
- Advanced Text Analysis Techniques 19
- Topic Modeling 10
- Advanced Clustering Algorithms Research 5
- Text and Document Classification Technologies 4
- Domain Adaptation and Few-Shot Learning 3
- Sentiment Analysis and Opinion Mining 3
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- Recommender Systems and Techniques 6
- Information Retrieval and Search Behavior 4
- Co-authors
- Karl R. Weiss (2 shared papers)Taghi M. Khoshgoftaar (2 shared papers)Tao Li (28 shared papers)Shenghuo Zhu B (10 shared papers)Yanfang Ye (3 shared papers)Yihong Gong (8 shared papers)Chris H. Q. Ding (5 shared papers)YE Dong-yi (2 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (3 papers)Information Processing & Management (2 papers)Journal of Computer Virology and Hacking Techniques (2 papers)Journal Of Big Data (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Dingding Wang
61 papers receiving 6.8k citations
Dingding Wang's Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 2.4k
- Signal Processing 443
- Computer Vision and Pattern Recognition 850
- Health Informatics 79
- Information Systems 667
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey of transfer learning Hit paper breakdown → | 2016 | 4756 |
| 2 | 2008 | 232 | |
| 3 | 2011 | 166 | |
| 4 | 2007 | 163 | |
| 5 | 2008 | 152 | |
| 6 | 2009 | 136 | |
| 7 | 2010 | 112 | |
| 8 | 2012 | 102 | |
| 9 | 2017 | 77 | |
| 10 | 2012 | 76 | |
| 11 | 2011 | 75 | |
| 12 | 2008 | 74 | |
| 13 | 2009 | 71 | |
| 14 | 2017 | 68 | |
| 15 | 2012 | 66 | |
| 16 | 2018 | 64 | |
| 17 | 2011 | 60 | |
| 18 | 2010 | 52 | |
| 19 | 2015 | 45 | |
| 20 | 2011 | 40 |
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 61 papers that have together received 7k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (19 papers), Topic Modeling (10 papers), Recommender Systems and Techniques (6 papers), Advanced Clustering Algorithms Research (5 papers), Text and Document Classification Technologies (4 papers), Information Retrieval and Search Behavior (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Signal Processing (443 citations), Computer Vision and Pattern Recognition (850 citations), Health Informatics (79 citations) and Information Systems (667 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 B, Yanfang Ye, Yihong Gong, Chris H. Q. Ding, YE Dong-yi, Lei Li and Shunzhi Zhu. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, Information Processing & Management, Journal of Computer Virology and Hacking Techniques, Journal Of Big Data and IEEE Transactions on Dependable and Secure Computing.
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.