Jiangrong Shen
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 20
- EEG and Brain-Computer Interfaces 4
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- Advanced Memory and Neural Computing 23
- Ferroelectric and Negative Capacitance Devices 9
- CCD and CMOS Imaging Sensors 3
- Artificial Intelligence top 10%
- Neural Networks and Applications 4
- Neural Networks and Reservoir Computing 4
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- Neuroscience and Neural Engineering 2
- Journals
- Cerebral Cortex (1 paper)Neural Computation (1 paper)IEEE Transactions on Neural Networks and Learning Systems (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Jiangrong Shen
30 papers receiving 380 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 240
- Electrical and Electronic Engineering 283
- Artificial Intelligence 136
- Cellular and Molecular Neuroscience 47
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Jiangrong Shen
This map shows the geographic impact of Jiangrong Shen'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 Jiangrong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangrong Shen more than expected).
Fields of papers citing papers by Jiangrong Shen
This network shows the impact of papers produced by Jiangrong Shen. 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 Jiangrong Shen. The network helps show where Jiangrong Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiangrong Shen, 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 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 23 | |
| 15 | 2023 | 49 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 24 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 33 | |
| 20 | 2017 | 4 |
About Jiangrong Shen
Jiangrong Shen is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 30 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural dynamics and brain function (20 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Neural Networks and Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neural Networks and Reservoir Computing (4 papers), CCD and CMOS Imaging Sensors (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cognitive Neuroscience (240 citations), Electrical and Electronic Engineering (283 citations) and Artificial Intelligence (136 citations). Jiangrong Shen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Huajin Tang, Gang Pan, Qi Xu, Jian K. Liu, Yueming Wang, Yaxin Li, Yu Qi, Qi Xu, Ziming Wang and Shuang Lian. Their work appears in journals such as Cerebral Cortex, Neural Computation 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.