Yitong Chen
Impact in
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- Advanced Memory and Neural Computing
- Perovskite Materials and Applications
- CCD and CMOS Imaging Sensors
- Polymers and Plastics top 10%
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 15
- CCD and CMOS Imaging Sensors 8
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- Advanced Sensor and Energy Harvesting Materials 7
- Co-authors
- Huihui Ren (23 shared papers)Dingwei Li (25 shared papers)Bowen Zhu (25 shared papers)Yingjie Tang (18 shared papers)Kun Liang (14 shared papers)Yan Wang (14 shared papers)Fanfan Li (16 shared papers)Chunyan Song (9 shared papers)
In The Last Decade
Yitong Chen
37 papers receiving 863 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 644
- Polymers and Plastics 148
- Cellular and Molecular Neuroscience 171
- Bioengineering 37
- Materials Chemistry 296
Countries citing papers authored by Yitong Chen
This map shows the geographic impact of Yitong Chen'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 Yitong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yitong Chen more than expected).
Fields of papers citing papers by Yitong Chen
This network shows the impact of papers produced by Yitong Chen. 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 Yitong Chen. The network helps show where Yitong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yitong Chen, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 138 | |
| 2 | 2023 | 116 | |
| 3 | 2019 | 90 | |
| 4 | 2021 | 71 | |
| 5 | 2023 | 45 | |
| 6 | 2022 | 43 | |
| 7 | 2023 | 41 | |
| 8 | 2024 | 41 | |
| 9 | 2022 | 36 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2024 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2023 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2024 | 8 |
About Yitong Chen
Yitong Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Polymers and Plastics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 43 papers that have together received 871 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), CCD and CMOS Imaging Sensors (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Transition Metal Oxide Nanomaterials (6 papers), Neural Networks and Reservoir Computing (4 papers), Analytical Chemistry and Sensors (4 papers), Neural dynamics and brain function (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (644 citations), Polymers and Plastics (148 citations), Cellular and Molecular Neuroscience (171 citations), Bioengineering (37 citations) and Materials Chemistry (296 citations). Yitong Chen has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Huihui Ren, Dingwei Li, Bowen Zhu, Yingjie Tang, Kun Liang, Yan Wang, Fanfan Li, Chunyan Song, Hong Wang and Rui Wang. Their work appears in journals such as Advanced Functional Materials, IEEE Electron Device Letters, Nature Communications, ACS Nano and eLife.
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.