Fanjun Li
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Machine Learning and ELM
Papers in
-
- Neural Networks and Reservoir Computing 18
- Neural Networks and Applications 14
- Machine Learning and ELM 5
-
- Advanced Memory and Neural Computing 17
- Optical Network Technologies 9
- Co-authors
- Junfei Qiao (3 shared papers)Honggui Han (2 shared papers)Wenjing Li (2 shared papers)Ying Li (6 shared papers)Min Chen (7 shared papers)Cuili Yang (1 shared paper)Michael Harris Bond (1 shared paper)Aleksei Aksimentiev (2 shared papers)
- Journals
- Applied Soft Computing (5 papers)Neurocomputing (4 papers)Biophysical Journal (3 papers)Applied Psychology (1 paper)IEEE Transactions on Industrial Informatics (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fanjun Li
34 papers receiving 572 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 284
- Structural Biology 7
- Electrical and Electronic Engineering 203
- Organizational Behavior and Human Resource Management 33
- Biomedical Engineering 131
Countries citing papers authored by Fanjun Li
This map shows the geographic impact of Fanjun 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 Fanjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanjun Li more than expected).
Fields of papers citing papers by Fanjun Li
This network shows the impact of papers produced by Fanjun 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 Fanjun Li. The network helps show where Fanjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanjun 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 159 | |
| 2 | 2023 | 89 | |
| 3 | 2016 | 67 | |
| 4 | 2010 | 46 | |
| 5 | 2015 | 42 | |
| 6 | 2022 | 33 | |
| 7 | 2019 | 29 | |
| 8 | 2011 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2008 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2013 | 2 |
About Fanjun Li
Fanjun Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering, Control and Systems Engineering and Molecular Biology, having authored 38 papers that have together received 590 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (18 papers), Advanced Memory and Neural Computing (17 papers), Neural Networks and Applications (14 papers), Optical Network Technologies (9 papers), Nanopore and Nanochannel Transport Studies (6 papers), Machine Learning and ELM (5 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Artificial Intelligence (284 citations), Structural Biology (7 citations), Electrical and Electronic Engineering (203 citations), Organizational Behavior and Human Resource Management (33 citations) and Biomedical Engineering (131 citations). Fanjun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junfei Qiao, Honggui Han, Wenjing Li, Ying Li, Min Chen, Cuili Yang, Michael Harris Bond, Aleksei Aksimentiev, Hong Deng and Monifa A. Fahie. Their work appears in journals such as Applied Soft Computing, Neurocomputing, Biophysical Journal, Applied Psychology and IEEE Transactions on Industrial Informatics.
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.