Bin Hu
Impact in
- Cognitive Neuroscience top 0.2%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Emotion and Mood Recognition
- Mental Health Research Topics
Papers in
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- EEG and Brain-Computer Interfaces 172
- Functional Brain Connectivity Studies 160
- Neural dynamics and brain function 64
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- Emotion and Mood Recognition 126
- Mental Health Research Topics 49
- Co-authors
- Xiping Hu (62 shared papers)Zhaolong Ning (24 shared papers)Xiaojie Wang (16 shared papers)Xiaowei Li (56 shared papers)Jun Cheng (13 shared papers)Philip Moore (44 shared papers)Xiaowei Zhang (38 shared papers)Guo‐Ping Gao (29 shared papers)
- Journals
- IEEE Transactions on Affective Computing (23 papers)IEEE Transactions on Computational Social Systems (21 papers)IEEE Journal of Biomedical and Health Informatics (21 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (17 papers)IEEE Internet of Things Journal (16 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bin Hu
759 papers receiving 18.1k citations
Bin Hu's Hit Papers
Peers
Comparison fields: 5 of 215
- Cognitive Neuroscience 5.9k
- Experimental and Cognitive Psychology 3.9k
- Human-Computer Interaction 880
- Computer Networks and Communications 2.8k
- Computer Vision and Pattern Recognition 2.3k
Countries citing papers authored by Bin Hu
This map shows the geographic impact of Bin Hu'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 Bin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Hu more than expected).
Fields of papers citing papers by Bin Hu
This network shows the impact of papers produced by Bin Hu. 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 Bin Hu. The network helps show where Bin Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Hu, 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 822 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks Hit paper breakdown → | 2017 | 485 |
| 2 | Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting Hit paper breakdown → | 2013 | 466 |
| 3 | EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM Hit paper breakdown → | 2020 | 356 |
| 4 | Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach Hit paper breakdown → | 2020 | 319 |
| 5 | EEG Based Emotion Recognition: A Tutorial and Review Hit paper breakdown → | 2022 | 297 |
| 6 | Exploring EEG Features in Cross-Subject Emotion Recognition Hit paper breakdown → | 2018 | 297 |
| 7 | Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution Hit paper breakdown → | 2020 | 286 |
| 8 | Feature-level fusion approaches based on multimodal EEG data for depression recognition Hit paper breakdown → | 2020 | 261 |
| 9 | 2017 | 259 | |
| 10 | 2016 | 229 | |
| 11 | 2019 | 228 | |
| 12 | 2017 | 227 | |
| 13 | Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System Hit paper breakdown → | 2020 | 222 |
| 14 | 2018 | 216 | |
| 15 | MetaSocieties in Metaverse: MetaEconomics and MetaManagement for MetaEnterprises and MetaCities Hit paper breakdown → | 2022 | 176 |
| 16 | 2018 | 171 | |
| 17 | 2021 | 171 | |
| 18 | 2020 | 162 | |
| 19 | 2018 | 159 | |
| 20 | 2018 | 151 |
About Bin Hu
Bin Hu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 822 papers that have together received 18.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (172 papers), Functional Brain Connectivity Studies (160 papers), Emotion and Mood Recognition (126 papers), Neural dynamics and brain function (64 papers), Mental Health Research Topics (49 papers), Heart Rate Variability and Autonomic Control (36 papers), Context-Aware Activity Recognition Systems (29 papers) and Antenna Design and Analysis (28 papers). The work is most often cited by research in Cognitive Neuroscience (5.9k citations), Experimental and Cognitive Psychology (3.9k citations), Human-Computer Interaction (880 citations), Computer Networks and Communications (2.8k citations) and Computer Vision and Pattern Recognition (2.3k citations). Bin Hu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiping Hu, Zhaolong Ning, Xiaojie Wang, Xiaowei Li, Jun Cheng, Philip Moore, Xiaowei Zhang, Guo‐Ping Gao, Ricky Y. K. Kwok and Lei Guo. Their work appears in journals such as IEEE Transactions on Affective Computing, IEEE Transactions on Computational Social Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Internet of Things Journal.
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.