Wen Li
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- Neuroscience and Neural Engineering 73
- Photoreceptor and optogenetics research 44
- Biomedical Engineering top 2%
- Molecular Communication and Nanonetworks 10
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 13
- EEG and Brain-Computer Interfaces 12
- Bioengineering top 5%
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- Advanced Memory and Neural Computing 26
- Electrochemical sensors and biosensors 8
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- Conducting polymers and applications 7
- Co-authors
- Arthur WeberKi Yong KwonMaysam GhovanlooHyung‐Min LeeWeiyang YangYaoyao JiaYan GongMichael J. Siefkes
- Journals
- IEEE Transactions on Biomedical Circuits and Systems (5 papers)Microsystems & Nanoengineering (4 papers)Journal of Fish Biology (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Wen Li
124 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cellular and Molecular Neuroscience 1.5k
- Biomedical Engineering 1.1k
- Cognitive Neuroscience 421
- Bioengineering 106
- Electrical and Electronic Engineering 1.0k
Countries citing papers authored by Wen Li
This map shows the geographic impact of Wen Li'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 Wen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Li more than expected).
Fields of papers citing papers by Wen Li
This network shows the impact of papers produced by Wen Li. 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 Wen Li. The network helps show where Wen Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wen Li, 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 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 9 | |
| 6 | 2021 | 21 | |
| 7 | Self-assembling human heart organoids for the modeling of cardiac development and congenital heart diseasebreakdown → | 2021 | 295 |
| 8 | 2020 | 28 | |
| 9 | 2020 | 57 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 46 | |
| 12 | 2018 | 38 | |
| 13 | 2018 | 7 | |
| 14 | 2018 | 8 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 17 | |
| 17 | 2016 | 19 | |
| 18 | 2012 | 35 | |
| 19 | 2005 | 13 | |
| 20 | 2001 | 15 |
About Wen Li
Wen Li is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Bioengineering, having authored 128 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (73 papers), Photoreceptor and optogenetics research (44 papers), Advanced Memory and Neural Computing (26 papers), Neural dynamics and brain function (13 papers), EEG and Brain-Computer Interfaces (12 papers), Molecular Communication and Nanonetworks (10 papers), Electrochemical sensors and biosensors (8 papers) and Conducting polymers and applications (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Biomedical Engineering (1.1k citations) and Cognitive Neuroscience (421 citations). Wen Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Arthur Weber, Ki Yong Kwon, Maysam Ghovanloo, Hyung‐Min Lee, Weiyang Yang, Yaoyao Jia, Yan Gong, Michael J. Siefkes, Bin Fan and Mark S. Humayun. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, Microsystems & Nanoengineering, Journal of Fish Biology, Lab on a Chip and Journal of Microelectromechanical 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.