Yichen Ye

626 citations
58 papers · 447 · h-index 12

Impact in

Papers in

Yichen Ye

45 papers receiving 430 citations

Peers

Yichen Ye
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 93
  • Electrical and Electronic Engineering 249
  • Artificial Intelligence 130
  • Electronic, Optical and Magnetic Materials 68
  • Biomedical Engineering 141
Replace Miao Hu with:
Miao Hu China
Salem F. Hegazy Egypt
Juncheng Fang China
Wenbin Zheng China
Hao Hu China
Jung-Hwan Song South Korea
Zeyuan Yang China
Abd El–Naser A. Mohamed Egypt
Qirui Fan China
Yichen Ye relative to Miao Hu China Miao Hu's profile →
Citations per field
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Miao Hu · 1×
Citations per year

Countries citing papers authored by Yichen Ye

Since Specialization
Citations

This map shows the geographic impact of Yichen Ye'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 Yichen Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Ye more than expected).

Fields of papers citing papers by Yichen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yichen Ye. 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 Yichen Ye. The network helps show where Yichen Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Yichen Ye, 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 Yichen Ye Line = papers co-authored together Yichen Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201966
2 202033
3 202226
4 201721
5 201920
6 202320
7 201618
8 201915
9 202115
10 201815
11 202312
12 201912
13 201911
14 202111
15 202311
16 201810
17 202310
18 202310
19 20219
20 20228

About Yichen Ye

Yichen Ye is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 447 indexed citations. Recurring topics across this work include Photonic and Optical Devices (31 papers), Optical Network Technologies (21 papers), Neural Networks and Reservoir Computing (18 papers), Plasmonic and Surface Plasmon Research (13 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Photonic Communication Systems (7 papers), Chaos control and synchronization (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (93 citations), Electrical and Electronic Engineering (249 citations), Artificial Intelligence (130 citations), Electronic, Optical and Magnetic Materials (68 citations) and Biomedical Engineering (141 citations). Yichen Ye has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yiyuan Xie, Tingting Song, Bocheng Liu, Yong Liu, Weichen Liu, Lei Jiang, Qian Lou, Zhaoxiang Deng, Yong Liu and Yuzhu Liu. Their work appears in journals such as IEEE photonics journal, Optics & Laser Technology, IEEE Transactions on Nanotechnology, Expert Systems with Applications and Nonlinear Dynamics.

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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