Ruichen Li

850 citations
27 papers · 432 · h-index 12

Impact in

Papers in

Ruichen Li

25 papers receiving 425 citations

Peers

Ruichen Li
Comparison fields: 5 of 63
  • Experimental and Cognitive Psychology 115
  • Signal Processing 71
  • Artificial Intelligence 188
  • Computer Vision and Pattern Recognition 86
  • Electronic, Optical and Magnetic Materials 54
Replace Chengrui Wang with:
Chengrui Wang China
Zhiwei Liang China
Milan Sečujski Serbia
Yuanzhi Wang China
Lingsheng Kong China
Long Ma China
Rubén Fraile Spain
Rui Xia China
Ruichen Li relative to Chengrui Wang China Chengrui Wang's profile →
Citations per field
00.5×2×2.7×
Chengrui Wang · 1×
Citations per year

Countries citing papers authored by Ruichen Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruichen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021137
2 201834
3 202329
4 202326
5 202225
6 201924
7 202424
8 202323
9 202319
10 202217
11 202412
12 202312
13 20219
14 20238
15 20248
16 20255
17 20254
18 20244
19 20243
20 20243

About Ruichen Li

Ruichen Li is a scholar working on Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 27 papers that have together received 432 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (5 papers), Metamaterials and Metasurfaces Applications (4 papers), Topic Modeling (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Antenna Design and Analysis (2 papers), Privacy-Preserving Technologies in Data (2 papers), Speech and Audio Processing (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (115 citations), Signal Processing (71 citations), Artificial Intelligence (188 citations), Computer Vision and Pattern Recognition (86 citations) and Electronic, Optical and Magnetic Materials (54 citations). Ruichen Li has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Jinming Zhao, Qin Jin, Bin Zheng, Shizhe Chen, HongSheng Chen, Zhiting Hu, Tong Cai, Rongrong Zhu, Lian Shen and Xiaofeng Li. Their work appears in journals such as Laser & Photonics Review, Applied Sciences, Nanophotonics, Advanced Photonics and Multimedia Tools and Applications.

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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