Songzhi Su
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- Video Surveillance and Tracking Methods 20
- Advanced Image and Video Retrieval Techniques 18
- Advanced Neural Network Applications 17
- Human Pose and Action Recognition 15
- Image Retrieval and Classification Techniques 11
- Advanced Vision and Imaging 8
- Geology top 5%
- Human-Computer Interaction top 5%
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 7
- Media Technology top 5%
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- Robotics and Sensor-Based Localization 9
- Co-authors
- Shaozi LiRongrong JiZhiming LuoGuorong CaiDonglin CaoPierre‐Marc JodoinZhun ZhongSheng Lian
- Journals
- SHILAP Revista de lepidopterología (1 paper)Remote Sensing (1 paper)Neurocomputing (7 papers)
- Partner nations
- ChinaTaiwanUnited Kingdom
In The Last Decade
Songzhi Su
67 papers receiving 843 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 548
- Geology 80
- Human-Computer Interaction 74
- Artificial Intelligence 265
- Media Technology 60
Countries citing papers authored by Songzhi Su
This map shows the geographic impact of Songzhi Su'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 Songzhi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songzhi Su more than expected).
Fields of papers citing papers by Songzhi Su
This network shows the impact of papers produced by Songzhi Su. 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 Songzhi Su. The network helps show where Songzhi Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songzhi Su, 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 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 40 | |
| 12 | 2018 | 2 | |
| 13 | 2018 | 5 | |
| 14 | 2016 | 2 | |
| 15 | 2016 | 31 | |
| 16 | 2015 | 22 | |
| 17 | 2014 | 44 | |
| 18 | 2013 | 6 | |
| 19 | 2013 | 2 | |
| 20 | 2010 | 0 |
About Songzhi Su
Songzhi Su is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Health Informatics, having authored 73 papers that have together received 873 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (18 papers), Advanced Neural Network Applications (17 papers), Human Pose and Action Recognition (15 papers), Image Retrieval and Classification Techniques (11 papers), Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (548 citations), Geology (80 citations) and Human-Computer Interaction (74 citations). Songzhi Su has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Shaozi Li, Rongrong Ji, Zhiming Luo, Guorong Cai, Donglin Cao, Pierre‐Marc Jodoin, Zhun Zhong, Sheng Lian, Wei Wu and Li Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing 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.