Su-Kit Tang
Impact in
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- Advanced Battery Technologies Research
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- Video Surveillance and Tracking Methods
Papers in
- Co-authors
- Rita Tse (34 shared papers)Giovanni Pau (27 shared papers)Hong Lin (7 shared papers)Zhenping Qiang (6 shared papers)Silvia Mirri (9 shared papers)Paola Salomoni (4 shared papers)Yanbing Chen (1 shared paper)Wei Ke (1 shared paper)
- Journals
- Applied Sciences (6 papers)Atmosphere (4 papers)Sensors (3 papers)Frontiers in Plant Science (2 papers)Electronics (2 papers)
- Partner nations
- MacaoItalyUnited States
In The Last Decade
Su-Kit Tang
58 papers receiving 358 citations
Peers
Comparison fields: 5 of 75
- Automotive Engineering 44
- Computer Vision and Pattern Recognition 73
- Environmental Engineering 50
- Atmospheric Science 46
- Computer Science Applications 13
Countries citing papers authored by Su-Kit Tang
This map shows the geographic impact of Su-Kit Tang'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-Kit Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Kit Tang more than expected).
Fields of papers citing papers by Su-Kit Tang
This network shows the impact of papers produced by Su-Kit Tang. 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-Kit Tang. The network helps show where Su-Kit Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su-Kit Tang, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2021 | 23 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 18 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2025 | 7 | |
| 20 | 2021 | 7 |
About Su-Kit Tang
Su-Kit Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Environmental Engineering, having authored 67 papers that have together received 368 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Smart Agriculture and AI (6 papers), Advanced Neural Network Applications (5 papers), Advanced Battery Technologies Research (5 papers), Flood Risk Assessment and Management (5 papers), Electric Vehicles and Infrastructure (4 papers), Hydrological Forecasting Using AI (4 papers) and Plant Disease Management Techniques (4 papers). The work is most often cited by research in Automotive Engineering (44 citations), Computer Vision and Pattern Recognition (73 citations), Environmental Engineering (50 citations), Atmospheric Science (46 citations) and Computer Science Applications (13 citations). Su-Kit Tang has collaborated with scholars based in Macao, Italy and United States. Frequent co-authors include Rita Tse, Giovanni Pau, Hong Lin, Zhenping Qiang, Silvia Mirri, Paola Salomoni, Yanbing Chen, Wei Ke, Alberto Cardoso and Giovanni Delnevo. Their work appears in journals such as Applied Sciences, Atmosphere, Sensors, Frontiers in Plant Science and Electronics.
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.