Hai Tan
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
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- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
Papers in
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- Advanced Data Storage Technologies 4
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- Face and Expression Recognition 4
- Co-authors
- Jun Zhang (3 shared papers)Ying Fang (1 shared paper)Zhijiang Wan (5 shared papers)Manyu Li (3 shared papers)Jiajin Huang (2 shared papers)Shichang Liu (1 shared paper)Guowei Yang (6 shared papers)Minghua Wan (5 shared papers)
- Journals
- Information Sciences (2 papers)Frontiers in Neuroscience (2 papers)Applied Sciences (1 paper)Neurocomputing (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Hai Tan
32 papers receiving 233 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 99
- Cognitive Neuroscience 42
- Computer Vision and Pattern Recognition 41
- Information Systems 33
- Media Technology 12
Countries citing papers authored by Hai Tan
This map shows the geographic impact of Hai 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 Hai Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Tan more than expected).
Fields of papers citing papers by Hai Tan
This network shows the impact of papers produced by Hai 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 Hai Tan. The network helps show where Hai Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2023 | 48 | |
| 3 | 2022 | 24 | |
| 4 | 2024 | 18 | |
| 5 | [Prevalence of chronic obstructive pulmonary disease in Ningxia Hui Autonomous Region of China]. | 2013 | 10 |
| 6 | 2016 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2014 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2014 | 3 |
About Hai Tan
Hai Tan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Information Systems, having authored 41 papers that have together received 246 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Face and Expression Recognition (4 papers), Advanced Data Storage Technologies (4 papers), Retinal Imaging and Analysis (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Remote-Sensing Image Classification (3 papers), Topic Modeling (3 papers) and Embedded Systems Design Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (99 citations), Cognitive Neuroscience (42 citations), Computer Vision and Pattern Recognition (41 citations), Information Systems (33 citations) and Media Technology (12 citations). Hai Tan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jun Zhang, Ying Fang, Zhijiang Wan, Manyu Li, Jiajin Huang, Shichang Liu, Guowei Yang, Minghua Wan, Yanxiang He and Tianming Zhan. Their work appears in journals such as Information Sciences, Frontiers in Neuroscience, Applied Sciences, Neurocomputing and PLoS ONE.
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.