Hailing Wang
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neural dynamics and brain function
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
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- Face Recognition and Perception 8
- EEG and Brain-Computer Interfaces 8
- Neural and Behavioral Psychology Studies 7
- Functional Brain Connectivity Studies 6
- Visual perception and processing mechanisms 4
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- Face and Expression Recognition 5
- Advanced Neural Network Applications 5
- Co-authors
- Xia Wu (8 shared papers)Li Yao (5 shared papers)Shimin Fu (7 shared papers)Xueyuan Xu (3 shared papers)Bin Hu (1 shared paper)Feiping Nie (1 shared paper)Jie Zhou (4 shared papers)Jianhong Liu (1 shared paper)
In The Last Decade
Hailing Wang
42 papers receiving 542 citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 182
- Computer Vision and Pattern Recognition 176
- Experimental and Cognitive Psychology 97
- Artificial Intelligence 139
- Media Technology 35
Countries citing papers authored by Hailing Wang
This map shows the geographic impact of Hailing Wang'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 Hailing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Wang more than expected).
Fields of papers citing papers by Hailing Wang
This network shows the impact of papers produced by Hailing Wang. 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 Hailing Wang. The network helps show where Hailing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Wang, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 41 | |
| 4 | 2019 | 34 | |
| 5 | 2013 | 33 | |
| 6 | 2021 | 33 | |
| 7 | 2021 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2015 | 21 | |
| 11 | 2020 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2012 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2018 | 8 |
About Hailing Wang
Hailing Wang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology and Media Technology, having authored 46 papers that have together received 549 indexed citations. Recurring topics across this work include Face Recognition and Perception (8 papers), EEG and Brain-Computer Interfaces (8 papers), Neural and Behavioral Psychology Studies (7 papers), Functional Brain Connectivity Studies (6 papers), Face and Expression Recognition (5 papers), Advanced Neural Network Applications (5 papers), Semiconductor materials and devices (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Cognitive Neuroscience (182 citations), Computer Vision and Pattern Recognition (176 citations), Experimental and Cognitive Psychology (97 citations), Artificial Intelligence (139 citations) and Media Technology (35 citations). Hailing Wang has collaborated with scholars based in China, Russia and Malaysia. Frequent co-authors include Xia Wu, Li Yao, Shimin Fu, Xueyuan Xu, Bin Hu, Feiping Nie, Jie Zhou, Jianhong Liu, Yudong Chen and Weiming Wang. Their work appears in journals such as Applied Physics Letters, Neuropsychologia, Information Sciences, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.
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.