Dan Yang
Impact in
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- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Information Systems top 1%
- Software Engineering Research
Papers in
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- Face and Expression Recognition 21
- Medical Image Segmentation Techniques 7
- Advanced Image and Video Retrieval Techniques 6
- Video Surveillance and Tracking Methods 5
- Face recognition and analysis 4
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- Software Engineering Research 16
- Co-authors
- Xiaohong Zhang (60 shared papers)Sheng Huang (39 shared papers)Ling Xu (18 shared papers)Meng Ling Yan (22 shared papers)Ahmed Elgammal (7 shared papers)Jizhou Huang (1 shared paper)Ming Zhou (1 shared paper)Yongxin Ge (21 shared papers)
- Journals
- Information and Software Technology (6 papers)IEEE Access (5 papers)Pattern Recognition Letters (5 papers)Pattern Recognition (4 papers)Neurocomputing (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Yang
169 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 576
- Information Systems 434
- Computational Mathematics 6
- Leadership and Management 5
- Artificial Intelligence 216
Countries citing papers authored by Dan Yang
This map shows the geographic impact of Dan Yang'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 Dan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Yang more than expected).
Fields of papers citing papers by Dan Yang
This network shows the impact of papers produced by Dan Yang. 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 Dan Yang. The network helps show where Dan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Yang, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extracting Chatbot Knowledge from Online Discussion Forums * | 2008 | 129 |
| 2 | 2022 | 113 | |
| 3 | 2018 | 112 | |
| 4 | 2015 | 111 | |
| 5 | 2019 | 90 | |
| 6 | 2021 | 87 | |
| 7 | 2009 | 67 | |
| 8 | 2006 | 66 | |
| 9 | 2014 | 60 | |
| 10 | 2008 | 48 | |
| 11 | 2016 | 44 | |
| 12 | 2015 | 41 | |
| 13 | 2021 | 41 | |
| 14 | 2010 | 39 | |
| 15 | 2019 | 38 | |
| 16 | 2008 | 37 | |
| 17 | 2020 | 36 | |
| 18 | 2019 | 35 | |
| 19 | 2015 | 33 | |
| 20 | 2021 | 33 |
About Dan Yang
Dan Yang is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Computer Networks and Communications and Software, having authored 184 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (21 papers), Software Engineering Research (16 papers), Medical Image Segmentation Techniques (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Video Surveillance and Tracking Methods (5 papers), Face recognition and analysis (4 papers), Stability and Control of Uncertain Systems (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (576 citations), Information Systems (434 citations), Computational Mathematics (6 citations), Leadership and Management (5 citations) and Artificial Intelligence (216 citations). Dan Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaohong Zhang, Sheng Huang, Ling Xu, Meng Ling Yan, Ahmed Elgammal, Jizhou Huang, Ming Zhou, Yongxin Ge, Dong Li and Xin Xia. Their work appears in journals such as Information and Software Technology, IEEE Access, Pattern Recognition Letters, Pattern Recognition and Neurocomputing.
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.