Ji-Gen Chen
Impact in
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- Laser-Matter Interactions and Applications
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- 2D Materials and Applications
Papers in
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- Laser-Matter Interactions and Applications 73
- Spectroscopy and Quantum Chemical Studies 2
-
- Nonlinear Waves and Solitons 1
- Co-authors
- Yujun Yang (55 shared papers)Hui‐Xiong Deng (1 shared paper)Jing Wei (1 shared paper)Kun Xu (1 shared paper)Zhongming Wei (1 shared paper)Xiangyu Sun (1 shared paper)Shicheng Jiang (11 shared papers)C. D. Lin (4 shared papers)
- Journals
- Physical Review A (13 papers)Chinese Physics Letters (10 papers)Optics Express (6 papers)Symmetry (4 papers)Physical review. B. (3 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Ji-Gen Chen
78 papers receiving 2.1k citations
Ji-Gen Chen's Hit Papers
Peers
Comparison fields: 5 of 94
- Atomic and Molecular Physics, and Optics 1.2k
- Materials Chemistry 557
- Statistical and Nonlinear Physics 93
- Artificial Intelligence 121
- Mechanical Engineering 75
Countries citing papers authored by Ji-Gen Chen
This map shows the geographic impact of Ji-Gen 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 Ji-Gen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Gen Chen more than expected).
Fields of papers citing papers by Ji-Gen Chen
This network shows the impact of papers produced by Ji-Gen 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 Ji-Gen Chen. The network helps show where Ji-Gen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji-Gen 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning in materials science Hit paper breakdown → | 2019 | 848 |
| 2 | 2018 | 183 | |
| 3 | 2017 | 109 | |
| 4 | 2020 | 73 | |
| 5 | 2019 | 63 | |
| 6 | 2011 | 51 | |
| 7 | 2020 | 46 | |
| 8 | 2015 | 44 | |
| 9 | 2020 | 44 | |
| 10 | 2020 | 41 | |
| 11 | 2010 | 38 | |
| 12 | 2019 | 36 | |
| 13 | 2020 | 36 | |
| 14 | 2012 | 33 | |
| 15 | 2023 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2015 | 27 | |
| 18 | 2011 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2007 | 24 |
About Ji-Gen Chen
Ji-Gen Chen is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Spectroscopy, Artificial Intelligence and Modeling and Simulation, having authored 86 papers that have together received 2.2k indexed citations. Recurring topics across this work include Laser-Matter Interactions and Applications (73 papers), Molecular Spectroscopy and Structure (3 papers), Quantum Information and Cryptography (3 papers), Intergenerational and Educational Inequality Studies (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Nonlinear Waves and Solitons (1 paper), Stochastic processes and statistical mechanics (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.2k citations), Materials Chemistry (557 citations), Statistical and Nonlinear Physics (93 citations), Artificial Intelligence (121 citations) and Mechanical Engineering (75 citations). Ji-Gen Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yujun Yang, Hui‐Xiong Deng, Jing Wei, Kun Xu, Zhongming Wei, Xiangyu Sun, Shicheng Jiang, C. D. Lin, Ruifeng Lu and Chao Yu. Their work appears in journals such as Physical Review A, Chinese Physics Letters, Optics Express, Symmetry and Physical review. B..
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.