Longchun Wang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Tactile and Sensory Interactions
Papers in
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- Neuroscience and Neural Engineering 34
- Photoreceptor and optogenetics research 15
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- EEG and Brain-Computer Interfaces 12
- Neural dynamics and brain function 6
- Co-authors
- Jingquan Liu (36 shared papers)Zhejun Guo (20 shared papers)Bin Tang Yang (24 shared papers)Xiaolin Wang (13 shared papers)Bowen Ji (17 shared papers)Chunpeng Jiang (13 shared papers)Wen Hong (11 shared papers)Minghao Wang (11 shared papers)
- Journals
- Biosensors and Bioelectronics (5 papers)Advanced Functional Materials (3 papers)Sensors and Actuators A Physical (3 papers)IEEE Electron Device Letters (3 papers)ACS Nano (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Longchun Wang
33 papers receiving 403 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 241
- Cognitive Neuroscience 134
- Polymers and Plastics 70
- Biomedical Engineering 167
- Bioengineering 13
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-authors
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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 49 | |
| 2 | 2019 | 48 | |
| 3 | 2021 | 40 | |
| 4 | 2019 | 40 | |
| 5 | 2022 | 39 | |
| 6 | 2024 | 18 | |
| 7 | 2019 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2024 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
About Longchun Wang
Longchun Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Bioengineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 39 papers that have together received 406 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (34 papers), Photoreceptor and optogenetics research (15 papers), EEG and Brain-Computer Interfaces (12 papers), Advanced Memory and Neural Computing (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Neural dynamics and brain function (6 papers), Analytical Chemistry and Sensors (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (241 citations), Cognitive Neuroscience (134 citations), Polymers and Plastics (70 citations), Biomedical Engineering (167 citations) and Bioengineering (13 citations). Longchun Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jingquan Liu, Zhejun Guo, Bin Tang 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, Advanced Functional Materials, Sensors and Actuators A Physical, IEEE Electron Device Letters 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.