Jingye Chen

1.6k citations
49 papers · 788 indexed · 1 hit paper · h-index 18

Jingye Chen

44 papers receiving 715 citations

Hit Papers

TrOCR: Transformer-Based Optical Character Recognition wi...1102023202620242025255075100

Peers

Jingye Chen
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
Replace Xinpeng Huang with:
Xinpeng Huang China
Xiao Xiang China
Julie Chang United States
Pierre Ambs France
Rui Shogenji Japan
Tomoya Nakamura Japan
Qilin Sun Saudi Arabia
Jacques E. Ludman United States
Yasuhiro Mizutani Japan
Yi‐Wei Zheng China
Jingye Chen relative to Xinpeng Huang China Xinpeng Huang's profile →
Citations per field
00.5×4.5×
Xinpeng Huang · 1×
Citations per year

Countries citing papers authored by Jingye Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jingye Chen Line = papers co-authored together Jingye Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20250
4 202410
5 20249
6 20243
7 20240
8 202414
9
TrOCR: Transformer-Based Optical Character Recognition with Pre-trained Modelsbreakdown →
2023110
10 202315
11 202312
12 202318
13 202321
14 20222
15 202229
16 202017
17 201910
18 201930
19 201723
20 201721

About Jingye Chen

Jingye Chen is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Surfaces, Coatings and Films, 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) and Instrumentation (30 citations). Jingye Chen has collaborated with scholars based in China, Finland and Hong Kong. Frequent co-authors include Yaocheng Shi, Xiangyang Xue, Yao Shi, Shi Zhao, Daoxin Dai, Bin Li, Yuguang Zhang, Bin Li, Cha Zhang and Tengchao Lv. 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.

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