Jianhai Zhang
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 51
- Neural dynamics and brain function 18
- Functional Brain Connectivity Studies 10
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- Emotion and Mood Recognition 17
- Human-Computer Interaction top 2%
- Gaze Tracking and Assistive Technology 18
- Computational Mathematics top 10%
- Signal Processing top 5%
- Blind Source Separation Techniques 11
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- Neuroscience and Neural Engineering 9
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- Neonatal and fetal brain pathology 6
- Co-authors
- Wanzeng KongGuojun DaiSanqing HuYu CaoYunyuan GaoYingchun ZhangGuang LinYang Chen
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jianhai Zhang
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 922
- Experimental and Cognitive Psychology 516
- Human-Computer Interaction 197
- Computational Mathematics 11
- Signal Processing 164
Countries citing papers authored by Jianhai Zhang
This map shows the geographic impact of Jianhai Zhang'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 Jianhai Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianhai Zhang more than expected).
Fields of papers citing papers by Jianhai Zhang
This network shows the impact of papers produced by Jianhai Zhang. 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 Jianhai Zhang. The network helps show where Jianhai Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianhai Zhang, 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 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 31 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 24 | |
| 15 | 2020 | 146 | |
| 16 | 2019 | 9 | |
| 17 | Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling | 2019 | 47 |
| 18 | 2018 | 92 | |
| 19 | PNN for EEG-based Emotion Recognition | 2016 | 2 |
| 20 | 2013 | 31 |
About Jianhai Zhang
Jianhai Zhang is a scholar working on Computational Mathematics, Human-Computer Interaction and Cognitive Neuroscience, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (51 papers), Neural dynamics and brain function (18 papers), Gaze Tracking and Assistive Technology (18 papers), Emotion and Mood Recognition (17 papers), Blind Source Separation Techniques (11 papers), Functional Brain Connectivity Studies (10 papers), Neuroscience and Neural Engineering (9 papers) and Neonatal and fetal brain pathology (6 papers). The work is most often cited by research in Cognitive Neuroscience (922 citations), Experimental and Cognitive Psychology (516 citations) and Human-Computer Interaction (197 citations). Jianhai Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wanzeng Kong, Guojun Dai, Sanqing Hu, Yu Cao, Yunyuan Gao, Yingchun Zhang, Guang Lin, Yang Chen, Feiwei Qin and Rubin Wang. Their work appears in journals such as Sensors, Information Sciences and Neurobiology of Aging.
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.