Jingye Chen
Impact in
- Media Technology top 5%
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- Handwritten Text Recognition Techniques
- Advanced Image Processing Techniques
Papers in
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- Photonic and Optical Devices 36
- Advanced Photonic Communication Systems 17
- Optical Network Technologies 10
- Advanced Fiber Optic Sensors 7
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- Photonic Crystals and Applications 12
- Advanced Fiber Laser Technologies 11
- Co-authors
- Yaocheng Shi (31 shared papers)Xiangyang Xue (3 shared papers)Yao Shi (7 shared papers)Shi Zhao (13 shared papers)Daoxin Dai (15 shared papers)Bin Li (1 shared paper)Yuguang Zhang (3 shared papers)Bin Li (2 shared papers)
In The Last Decade
Jingye Chen
44 papers receiving 715 citations
Jingye Chen's Hit Papers
Peers
Comparison fields: 5 of 61
- Media Technology 111
- Computer Vision and Pattern Recognition 255
- Instrumentation 30
- Surfaces, Coatings and Films 58
- Electrical and Electronic Engineering 466
Countries citing papers authored by Jingye Chen
This map shows the geographic impact of Jingye 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 Jingye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingye Chen more than expected).
Fields of papers citing papers by Jingye Chen
This network shows the impact of papers produced by Jingye 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 Jingye Chen. The network helps show where Jingye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingye 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Models Hit paper breakdown → | 2023 | 110 |
| 2 | 2021 | 82 | |
| 3 | 2022 | 43 | |
| 4 | 2016 | 41 | |
| 5 | 2021 | 32 | |
| 6 | 2019 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2016 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2023 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2023 | 21 | |
| 16 | 2023 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2019 | 16 | |
| 20 | 2023 | 15 |
About Jingye Chen
Jingye Chen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 49 papers that have together received 788 indexed citations. Recurring topics across this work include Photonic and Optical Devices (36 papers), Advanced Photonic Communication Systems (17 papers), Photonic Crystals and Applications (12 papers), Advanced Fiber Laser Technologies (11 papers), Optical Network Technologies (10 papers), Advanced Fiber Optic Sensors (7 papers), Neural Networks and Reservoir Computing (4 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Media Technology (111 citations), Computer Vision and Pattern Recognition (255 citations), Instrumentation (30 citations), Surfaces, Coatings and Films (58 citations) and Electrical and Electronic Engineering (466 citations). Jingye Chen has collaborated with scholars based in China, Hong Kong and Finland. Frequent co-authors include Yaocheng Shi, Xiangyang Xue, Yao Shi, Shi Zhao, Daoxin Dai, Bin Li, Yuguang Zhang, Bin Li, Tengchao Lv and Cha Zhang. Their work appears in journals such as Optics Letters, Optics Express, IEEE Photonics Technology Letters, IEEE photonics journal and APL Photonics.
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.