Xingye Chen
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Materials Chemistry top 10%
- Quantum Dots Synthesis And Properties
- Copper-based nanomaterials and applications
Papers in
-
- Chalcogenide Semiconductor Thin Films 13
- Perovskite Materials and Applications 6
- Advancements in Battery Materials 5
-
- Quantum Dots Synthesis And Properties 12
- Copper-based nanomaterials and applications 6
- Co-authors
- Guangxing Liang (15 shared papers)Ping Fan (12 shared papers)Zhenghua Su (11 shared papers)Zhuanghao Zheng (6 shared papers)Shuo Chen (7 shared papers)Rong Tang (5 shared papers)Yanmin Zhang (9 shared papers)Yadong Chen (9 shared papers)
In The Last Decade
Xingye Chen
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 115
- Biophysics 56
- Materials Chemistry 442
- Electrical and Electronic Engineering 548
- Structural Biology 12
- Computational Theory and Mathematics 138
Countries citing papers authored by Xingye Chen
This map shows the geographic impact of Xingye 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 Xingye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingye Chen more than expected).
Fields of papers citing papers by Xingye Chen
This network shows the impact of papers produced by Xingye 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 Xingye Chen. The network helps show where Xingye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingye 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2020 | 83 | |
| 3 | 2019 | 76 | |
| 4 | 2021 | 72 | |
| 5 | 2022 | 65 | |
| 6 | 2024 | 54 | |
| 7 | 2022 | 49 | |
| 8 | 2019 | 49 | |
| 9 | 2018 | 43 | |
| 10 | 2024 | 38 | |
| 11 | 2020 | 35 | |
| 12 | 2021 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2024 | 30 | |
| 15 | 2025 | 27 | |
| 16 | 2023 | 23 | |
| 17 | 2020 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 2024 | 21 | |
| 20 | 2018 | 21 |
About Xingye Chen
Xingye Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Computational Theory and Mathematics and Biophysics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (13 papers), Quantum Dots Synthesis And Properties (12 papers), Computational Drug Discovery Methods (8 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Copper-based nanomaterials and applications (6 papers), Perovskite Materials and Applications (6 papers), Advancements in Battery Materials (5 papers) and Conducting polymers and applications (3 papers). The work is most often cited by research in Biophysics (56 citations), Materials Chemistry (442 citations), Electrical and Electronic Engineering (548 citations), Structural Biology (12 citations) and Computational Theory and Mathematics (138 citations). Xingye Chen has collaborated with scholars based in China, France and Australia. Frequent co-authors include Guangxing Liang, Ping Fan, Zhenghua Su, Zhuanghao Zheng, Shuo Chen, Rong Tang, Yanmin Zhang, Yadong Chen, Haichun Liu and Xianghua Zhang. Their work appears in journals such as Journal of Chemical Information and Modeling, Advanced Materials, Journal of Materials Chemistry A, Surface and Coatings Technology and Nanomaterials.
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.