Jing Pei
Impact in
- Health Informatics top 10%
-
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
-
- Advanced Memory and Neural Computing 31
- Ferroelectric and Negative Capacitance Devices 16
-
- Neural Networks and Reservoir Computing 10
- Co-authors
- Guoqi Li (24 shared papers)Lei Deng (24 shared papers)Luping Shi (21 shared papers)Guanrui Wang (9 shared papers)Zhenzhi Wu (3 shared papers)Rong Zhao (8 shared papers)Yujie Wu (7 shared papers)Ziyang Zhang (6 shared papers)
- Journals
- Scientific Reports (5 papers)Japanese Journal of Applied Physics (4 papers)Frontiers in Neuroscience (4 papers)Nature Communications (3 papers)Neural Networks (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jing Pei
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Health Informatics 22
- Cellular and Molecular Neuroscience 293
- Electrical and Electronic Engineering 862
- Cognitive Neuroscience 246
- Artificial Intelligence 404
Countries citing papers authored by Jing Pei
This map shows the geographic impact of Jing Pei'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 Jing Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Pei more than expected).
Fields of papers citing papers by Jing Pei
This network shows the impact of papers produced by Jing Pei. 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 Jing Pei. The network helps show where Jing Pei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Pei, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 160 | |
| 2 | 2020 | 144 | |
| 3 | 2020 | 124 | |
| 4 | 2018 | 110 | |
| 5 | 2018 | 100 | |
| 6 | 2014 | 71 | |
| 7 | 2022 | 69 | |
| 8 | 2015 | 55 | |
| 9 | 2021 | 46 | |
| 10 | 2022 | 45 | |
| 11 | 2019 | 41 | |
| 12 | 2015 | 38 | |
| 13 | 2015 | 34 | |
| 14 | 2015 | 33 | |
| 15 | 2020 | 25 | |
| 16 | 2007 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2016 | 23 | |
| 19 | 2020 | 19 | |
| 20 | 2018 | 18 |
About Jing Pei
Jing Pei is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (31 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Neural Networks and Reservoir Computing (10 papers), Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (8 papers), Cellular Automata and Applications (7 papers), Neuroscience and Neural Engineering (6 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Health Informatics (22 citations), Cellular and Molecular Neuroscience (293 citations), Electrical and Electronic Engineering (862 citations), Cognitive Neuroscience (246 citations) and Artificial Intelligence (404 citations). Jing Pei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guoqi Li, Lei Deng, Luping Shi, Guanrui Wang, Zhenzhi Wu, Rong Zhao, Yujie Wu, Ziyang Zhang, Guoqi Li and Huanglong Li. Their work appears in journals such as Scientific Reports, Japanese Journal of Applied Physics, Frontiers in Neuroscience, Nature Communications and Neural Networks.
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.