Hao Tang
-
- Video Surveillance and Tracking Methods 17
- Advanced Vision and Imaging 9
- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 7
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies 25
- Neural dynamics and brain function 11
- Tactile and Sensory Interactions 8
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- Mental Health Research Topics 8
- Human-Computer Interaction top 5%
- Cited by
- Computer Vision and Pattern RecognitionCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterología (2 papers)Scientific Reports (2 papers)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Hao Tang
90 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 411
- Cognitive Neuroscience 333
- Experimental and Cognitive Psychology 167
- Human-Computer Interaction 56
- Biological Psychiatry 25
Countries citing papers authored by Hao Tang
This map shows the geographic impact of Hao 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 Hao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Tang more than expected).
Fields of papers citing papers by Hao Tang
This network shows the impact of papers produced by Hao 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 Hao Tang. The network helps show where Hao Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 39 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 4 | |
| 16 | 2019 | 106 | |
| 17 | Dense Crowd Counting Convolutional Neural Networks with Minimal Data using Semi-Supervised Dual-Goal Generative Adversarial Networks | 2019 | 8 |
| 18 | 2014 | 3 | |
| 19 | 2014 | 2 | |
| 20 | 2012 | 91 |
About Hao Tang
Hao Tang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction, having authored 101 papers that have together received 1.2k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (25 papers), Video Surveillance and Tracking Methods (17 papers), Neural dynamics and brain function (11 papers), Advanced Vision and Imaging (9 papers), Mental Health Research Topics (8 papers), Tactile and Sensory Interactions (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Cognitive Neuroscience (333 citations) and Experimental and Cognitive Psychology (167 citations). Hao Tang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Zhigang Zhu, Zhijian Yao, Qing Lü, Greg Olmschenk, Rui Yan, Xiaohui Xie, Shanlin Sun, Xiangyi Yan, Yi Wang and Han Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.
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.