Dingyi Han
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- Web Data Mining and Analysis 4
- Expert finding and Q&A systems 4
- Recommender Systems and Techniques 3
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- Peer-to-Peer Network Technologies 8
- Caching and Content Delivery 5
- Co-authors
- Yong Yu (9 shared papers)Shenghua Bao (6 shared papers)Zhong Su (6 shared papers)Shengliang Xu (5 shared papers)Rong Yan (2 shared papers)Haibo Hu (2 shared papers)Li Zhang (1 shared paper)Yuanjie Liu (3 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)Computer Communications (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)International Conference on Machine Learning (1 paper)Proceedings - IEEE International Parallel and Distributed Processing Symposium (1 paper)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Dingyi Han
18 papers receiving 392 citations
Peers
Comparison fields: 5 of 55
- Computer Science Applications 64
- Artificial Intelligence 299
- Information Systems 198
- Statistical and Nonlinear Physics 75
- Communication 21
Countries citing papers authored by Dingyi Han
This map shows the geographic impact of Dingyi 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 Dingyi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyi Han more than expected).
Fields of papers citing papers by Dingyi Han
This network shows the impact of papers produced by Dingyi 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 Dingyi Han. The network helps show where Dingyi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingyi 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 111 | |
| 2 | 2008 | 71 | |
| 3 | 2011 | 55 | |
| 4 | 2009 | 48 | |
| 5 | Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising | 2014 | 41 |
| 6 | 2008 | 31 | |
| 7 | 2015 | 15 | |
| 8 | 2009 | 13 | |
| 9 | 2011 | 11 | |
| 10 | 2011 | 4 | |
| 11 | 2006 | 3 | |
| 12 | 2010 | 2 | |
| 13 | 2007 | 2 | |
| 14 | 2007 | 2 | |
| 15 | 2006 | 1 | |
| 16 | 2008 | 1 | |
| 17 | 2006 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2005 | 0 |
About Dingyi Han
Dingyi Han is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Statistical and Nonlinear Physics and Communication, having authored 19 papers that have together received 413 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (8 papers), Complex Network Analysis Techniques (6 papers), Caching and Content Delivery (5 papers), Web Data Mining and Analysis (4 papers), Expert finding and Q&A systems (4 papers), Advanced Text Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Computer Science Applications (64 citations), Artificial Intelligence (299 citations), Information Systems (198 citations), Statistical and Nonlinear Physics (75 citations) and Communication (21 citations). Dingyi Han has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Yong Yu, Shenghua Bao, Zhong Su, Shengliang Xu, Rong Yan, Haibo Hu, Li Zhang, Yuanjie Liu, Gui-Rong Xue and Shasha Li. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Computer Communications, IEEE Transactions on Knowledge and Data Engineering, International Conference on Machine Learning and Proceedings - IEEE International Parallel and Distributed Processing Symposium.
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.