Wenming Tan
Impact in
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- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Human-Computer Interaction top 10%
Papers in
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- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 6
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- Domain Adaptation and Few-Shot Learning 6
- AI in cancer detection 3
- Machine Learning and ELM 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Dahu Shi (5 shared papers)Xing Wei (4 shared papers)Shiliang Pu (12 shared papers)Zhenshen Qu (1 shared paper)Haichao Cao (3 shared papers)Nikolajs Zeps (1 shared paper)Nilesh Shah (1 shared paper)David Joseph (1 shared paper)
In The Last Decade
Wenming Tan
23 papers receiving 440 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 247
- Human-Computer Interaction 32
- Artificial Intelligence 133
- Media Technology 33
- Oncology 89
Countries citing papers authored by Wenming Tan
This map shows the geographic impact of Wenming Tan'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 Wenming Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenming Tan more than expected).
Fields of papers citing papers by Wenming Tan
This network shows the impact of papers produced by Wenming Tan. 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 Wenming Tan. The network helps show where Wenming Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenming Tan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 103 | |
| 2 | 2022 | 89 | |
| 3 | 2021 | 70 | |
| 4 | 2021 | 39 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2020 | 2 |
About Wenming Tan
Wenming Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Hardware and Architecture and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (4 papers), AI in cancer detection (3 papers), Machine Learning and ELM (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Human-Computer Interaction (32 citations), Artificial Intelligence (133 citations), Media Technology (33 citations) and Oncology (89 citations). Wenming Tan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Dahu Shi, Xing Wei, Shiliang Pu, Zhenshen Qu, Haichao Cao, Nikolajs Zeps, Nilesh Shah, David Joseph, B Iacopetta and Han Han. Their work appears in journals such as Knowledge-Based Systems, International Journal for Parasitology Parasites and Wildlife, Computer Methods and Programs in Biomedicine, IEEE Access and IEEE Robotics and Automation Letters.
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.