Jinfen Wang
Impact in
- Electrochemistry top 2%
- Electrochemical Analysis and Applications
- Bioengineering top 2%
- Analytical Chemistry and Sensors
Papers in
-
- Electrochemical sensors and biosensors 19
- Advanced Memory and Neural Computing 8
-
- Neuroscience and Neural Engineering 20
- Photoreceptor and optogenetics research 8
- Co-authors
- Ying Fang (21 shared papers)Shanhong Xia (20 shared papers)Chao Bian (19 shared papers)Jianhua Tong (19 shared papers)Shouliang Guan (13 shared papers)Ruo Yuan (9 shared papers)Hongbian Li (9 shared papers)Lei Gao (8 shared papers)
- Journals
- Biochemical Engineering Journal (3 papers)Nano Letters (3 papers)Advanced Materials (3 papers)Sensors (3 papers)Electroanalysis (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jinfen Wang
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Electrochemistry 270
- Bioengineering 205
- Cellular and Molecular Neuroscience 403
- Polymers and Plastics 269
- Biomedical Engineering 452
Countries citing papers authored by Jinfen Wang
This map shows the geographic impact of Jinfen 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 Jinfen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfen Wang more than expected).
Fields of papers citing papers by Jinfen Wang
This network shows the impact of papers produced by Jinfen 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 Jinfen Wang. The network helps show where Jinfen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinfen 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2018 | 105 | |
| 3 | 2019 | 75 | |
| 4 | 2009 | 73 | |
| 5 | 2015 | 55 | |
| 6 | 2008 | 44 | |
| 7 | 2021 | 43 | |
| 8 | 2023 | 42 | |
| 9 | 2010 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2012 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2005 | 36 | |
| 14 | 2010 | 36 | |
| 15 | 2018 | 31 | |
| 16 | 2018 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2023 | 28 | |
| 19 | 2005 | 28 | |
| 20 | 2017 | 26 |
About Jinfen Wang
Jinfen Wang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Bioengineering and Electrochemistry, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (20 papers), Electrochemical sensors and biosensors (19 papers), Analytical Chemistry and Sensors (14 papers), Electrochemical Analysis and Applications (13 papers), Advanced biosensing and bioanalysis techniques (9 papers), Advanced Memory and Neural Computing (8 papers), Photoreceptor and optogenetics research (8 papers) and Conducting polymers and applications (7 papers). The work is most often cited by research in Electrochemistry (270 citations), Bioengineering (205 citations), Cellular and Molecular Neuroscience (403 citations), Polymers and Plastics (269 citations) and Biomedical Engineering (452 citations). Jinfen Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ying Fang, Shanhong Xia, Chao Bian, Jianhua Tong, Shouliang Guan, Ruo Yuan, Hongbian Li, Lei Gao, Liang Zou and Yaqin Chai. Their work appears in journals such as Biochemical Engineering Journal, Nano Letters, Advanced Materials, Sensors and Electroanalysis.
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.