Dan Yang
- Software top 2%
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- Face and Expression Recognition 26
- Advanced Image and Video Retrieval Techniques 23
- Image Retrieval and Classification Techniques 13
- Video Surveillance and Tracking Methods 10
- Information Systems top 1%
- Software Engineering Research 22
- Software Engineering Techniques and Practices 11
- Artificial Intelligence top 2%
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- Robotics and Sensor-Based Localization 14
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- Chaos control and synchronization 11
- Co-authors
- Xiaohong ZhangSheng HuangMeng YanLing XuDong LiMing ZhouJizhou HuangYongxin Ge
- Journals
- Information and Software Technology (6 papers)Pattern Recognition Letters (5 papers)IEEE Access (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dan Yang
157 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 164
- Software 230
- Computer Vision and Pattern Recognition 730
- Information Systems 486
- Artificial Intelligence 543
- Computer Networks and Communications 331
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 89 | |
| 13 | 2021 | 21 | |
| 14 | 2019 | 37 | |
| 15 | Poster: A Recommender System for Developer Onboarding | 2018 | 2 |
| 16 | 2017 | 19 | |
| 17 | 2015 | 3 | |
| 18 | Empirical Study on Stock Incentive and Performance of High-tech Enterprise——Based on panel data of Listed Information Technology Enterprises in China | 2012 | 0 |
| 19 | Node scheduling algorithm based on coverage and connectivity in Wireless Sensor Networks | 2008 | 0 |
| 20 | Seamless integration of isomerous system based on web service | 2007 | 1 |
About Dan Yang
Dan Yang is a scholar working on Computer Vision and Pattern Recognition, Software and Information Systems, having authored 173 papers that have together received 2.1k 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 (13 papers), Chaos control and synchronization (11 papers), Software Engineering Techniques and Practices (11 papers) and Video Surveillance and Tracking Methods (10 papers). The work is most often cited by research in Software (230 citations), Computer Vision and Pattern Recognition (730 citations) and Information Systems (486 citations). Dan Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaohong Zhang, Sheng Huang, Meng Yan, Ling Xu, Dong Li, Ming Zhou, Jizhou Huang, Yongxin Ge, Xin Xia and Xiaohong Zhang. Their work appears in journals such as Information and Software Technology, Pattern Recognition Letters, IEEE Access, Neurocomputing 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.