Hanlin Tang
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Memory and Neural Mechanisms
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- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
Papers in
-
- Stochastic Gradient Optimization Techniques 4
- Privacy-Preserving Technologies in Data 3
- Natural Language Processing Techniques 3
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- Advanced Neural Network Applications 3
- Co-authors
- Gabriel Kreiman (7 shared papers)Joseph R. Madsen (3 shared papers)Nathan E. Crone (3 shared papers)William S. Anderson (3 shared papers)Weiyao Lin (2 shared papers)David Cox (1 shared paper)Charlotte Moerman (1 shared paper)Ana Paredes (1 shared paper)
- Journals
- Scientific Reports (2 papers)Computers in Industry (1 paper)Journal of Neurophysiology (1 paper)Frontiers in Immunology (1 paper)Computer Communications (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hanlin Tang
33 papers receiving 607 citations
Peers
Comparison fields: 5 of 120
- Cognitive Neuroscience 213
- Computer Vision and Pattern Recognition 169
- Artificial Intelligence 121
- Hardware and Architecture 24
- Ecological Modeling 11
Countries citing papers authored by Hanlin Tang
This map shows the geographic impact of Hanlin 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 Hanlin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanlin Tang more than expected).
Fields of papers citing papers by Hanlin Tang
This network shows the impact of papers produced by Hanlin 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 Hanlin Tang. The network helps show where Hanlin Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanlin 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2020 | 90 | |
| 3 | 2014 | 62 | |
| 4 | 2023 | 55 | |
| 5 | 2020 | 52 | |
| 6 | 2019 | 49 | |
| 7 | 2019 | 39 | |
| 8 | 2016 | 31 | |
| 9 | 2012 | 19 | |
| 10 | Amur Tiger Re-identification in the Wild. | 2019 | 14 |
| 11 | 2015 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 6 | |
| 19 | Decentralization Meets Quantization. | 2018 | 5 |
| 20 | 2023 | 3 |
About Hanlin Tang
Hanlin Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 620 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Memory and Neural Mechanisms (5 papers), Stochastic Gradient Optimization Techniques (4 papers), Face Recognition and Perception (3 papers), Advanced Neural Network Applications (3 papers), Visual perception and processing mechanisms (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (213 citations), Computer Vision and Pattern Recognition (169 citations), Artificial Intelligence (121 citations), Hardware and Architecture (24 citations) and Ecological Modeling (11 citations). Hanlin Tang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Gabriel Kreiman, Joseph R. Madsen, Nathan E. Crone, William S. Anderson, Weiyao Lin, David Cox, Charlotte Moerman, Ana Paredes, William Lotter and Martin Schrimpf. Their work appears in journals such as Scientific Reports, Computers in Industry, Journal of Neurophysiology, Frontiers in Immunology and Computer Communications.
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.