Longchun Wang
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- Neuroscience and Neural Engineering 30
- Photoreceptor and optogenetics research 14
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 5
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- Advanced Sensor and Energy Harvesting Materials 7
- Muscle activation and electromyography studies 3
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- Advanced Memory and Neural Computing 8
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- Vagus Nerve Stimulation Research 2
- Journals
- Biosensors and Bioelectronics (4 papers)IEEE Electron Device Letters (3 papers)Sensors and Actuators A Physical (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Longchun Wang
29 papers receiving 334 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 217
- Cognitive Neuroscience 129
- Polymers and Plastics 71
- Biomedical Engineering 147
- Bioengineering 12
Countries citing papers authored by Longchun Wang
This map shows the geographic impact of Longchun 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 Longchun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longchun Wang more than expected).
Fields of papers citing papers by Longchun Wang
This network shows the impact of papers produced by Longchun 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 Longchun Wang. The network helps show where Longchun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Longchun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 30 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 1 | |
| 18 | 2019 | 36 | |
| 19 | 2019 | 45 | |
| 20 | 2019 | 14 |
About Longchun Wang
Longchun Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Bioengineering, Neurology and Biomedical Engineering, having authored 35 papers that have together received 347 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (30 papers), Photoreceptor and optogenetics research (14 papers), EEG and Brain-Computer Interfaces (11 papers), Advanced Memory and Neural Computing (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Neural dynamics and brain function (5 papers), Muscle activation and electromyography studies (3 papers) and Vagus Nerve Stimulation Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (217 citations), Cognitive Neuroscience (129 citations), Polymers and Plastics (71 citations), Biomedical Engineering (147 citations) and Bioengineering (12 citations). Longchun Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jingquan Liu, Zhejun Guo, Bin Yang, Xiaolin Wang, Bowen Ji, Chunpeng Jiang, Wen Hong, Minghao Wang, Chengyu Li and Zhaoqian Xie. Their work appears in journals such as Biosensors and Bioelectronics, IEEE Electron Device Letters, Sensors and Actuators A Physical, Advanced Functional Materials and ACS Nano.
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.