Dan Yang
Impact in
- Software top 2%
- Software Reliability and Analysis Research
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
Papers in
-
- Face and Expression Recognition 26
- Advanced Image and Video Retrieval Techniques 23
- Image Retrieval and Classification Techniques 12
- Co-authors
- Xiaohong Zhang (59 shared papers)Sheng Huang (37 shared papers)Ling Xu (17 shared papers)Meng Yan (22 shared papers)Dong Li (11 shared papers)Yongxin Ge (19 shared papers)Jizhou Huang (1 shared paper)Ming Zhou (1 shared paper)
- Journals
- Information and Software Technology (6 papers)Pattern Recognition Letters (5 papers)Neurocomputing (4 papers)IEEE Access (4 papers)Pattern Recognition (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Yang
161 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 163
- Software 233
- Computer Vision and Pattern Recognition 735
- Information Systems 493
- Artificial Intelligence 549
- Computer Networks and Communications 335
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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extracting chatbot knowledge from online discussion forums | 2007 | 109 |
| 2 | 2018 | 109 | |
| 3 | 2022 | 100 | |
| 4 | 2019 | 89 | |
| 5 | 2021 | 75 | |
| 6 | 2009 | 64 | |
| 7 | 2006 | 63 | |
| 8 | 2014 | 57 | |
| 9 | 2008 | 45 | |
| 10 | 2015 | 39 | |
| 11 | 2016 | 39 | |
| 12 | 2019 | 38 | |
| 13 | 2021 | 37 | |
| 14 | 2008 | 36 | |
| 15 | 2010 | 35 | |
| 16 | 2021 | 32 | |
| 17 | 2020 | 31 | |
| 18 | 2019 | 29 | |
| 19 | 2015 | 29 | |
| 20 | 2015 | 29 |
About Dan Yang
Dan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Aerospace Engineering, having authored 174 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (26 papers), Advanced Image and Video Retrieval Techniques (23 papers), Software Engineering Research (22 papers), Robotics and Sensor-Based Localization (14 papers), Image Retrieval and Classification Techniques (12 papers), Software Engineering Techniques and Practices (11 papers), Chaos control and synchronization (11 papers) and Software System Performance and Reliability (10 papers). The work is most often cited by research in Software (233 citations), Computer Vision and Pattern Recognition (735 citations), Information Systems (493 citations), Artificial Intelligence (549 citations) and Computer Networks and Communications (335 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 Yan, Dong Li, Yongxin Ge, Jizhou Huang, Ming Zhou, Xin Xia and Xiaohong Zhang. Their work appears in journals such as Information and Software Technology, Pattern Recognition Letters, Neurocomputing, IEEE Access and Pattern Recognition.
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.