Su Yang
Impact in
- Transportation top 2%
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
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- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
Papers in
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- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 8
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- Human Mobility and Location-Based Analysis 15
- Transportation Planning and Optimization 7
- Co-authors
- Weishan Zhang (20 shared papers)Adam C. Winstanley (2 shared papers)Jiulong Zhang (8 shared papers)Minjie Wang (8 shared papers)Xinfeng Zhang (3 shared papers)Jun Gao (7 shared papers)Yuanyuan Wang (7 shared papers)Dehai Zhao (2 shared papers)
In The Last Decade
Su Yang
58 papers receiving 657 citations
Peers
Comparison fields: 5 of 88
- Transportation 179
- Computer Vision and Pattern Recognition 229
- Building and Construction 142
- Artificial Intelligence 212
- Signal Processing 67
Countries citing papers authored by Su Yang
This map shows the geographic impact of Su 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 Su Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Yang more than expected).
Fields of papers citing papers by Su Yang
This network shows the impact of papers produced by Su 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 Su Yang. The network helps show where Su Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 84 | |
| 2 | 2007 | 78 | |
| 3 | 2020 | 46 | |
| 4 | 2017 | 38 | |
| 5 | 2015 | 34 | |
| 6 | 2022 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2018 | 26 | |
| 9 | 2012 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2017 | 17 | |
| 12 | 2008 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2006 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 13 | |
| 17 | 2011 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2007 | 10 |
About Su Yang
Su Yang is a scholar working on Computer Vision and Pattern Recognition, Transportation, Artificial Intelligence, Building and Construction and Signal Processing, having authored 64 papers that have together received 681 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (15 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Traffic Prediction and Management Techniques (8 papers), Image Retrieval and Classification Techniques (8 papers), Transportation Planning and Optimization (7 papers), Robotics and Sensor-Based Localization (5 papers) and Impact of Light on Environment and Health (4 papers). The work is most often cited by research in Transportation (179 citations), Computer Vision and Pattern Recognition (229 citations), Building and Construction (142 citations), Artificial Intelligence (212 citations) and Signal Processing (67 citations). Su Yang has collaborated with scholars based in China, Ireland and Macao. Frequent co-authors include Weishan Zhang, Adam C. Winstanley, Jiulong Zhang, Minjie Wang, Xinfeng Zhang, Jun Gao, Yuanyuan Wang, Dehai Zhao, Yi Sun and Zhiyuan He. Their work appears in journals such as Neurocomputing, Pattern Recognition, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, PLoS ONE and Robotica.
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.