Keyu Li

405 citations
21 papers · 178 · h-index 10

Impact in

Papers in

Keyu Li

20 papers receiving 174 citations

Peers

Keyu Li
Comparison fields: 5 of 70
  • Media Technology 29
  • Computer Vision and Pattern Recognition 58
  • Industrial and Manufacturing Engineering 14
  • Water Science and Technology 20
  • Control and Systems Engineering 27
Replace N Sharmila with:
N Sharmila India
Ángel Fernández Gambı́n Italy
Qing Wei China
Chen Shen China
Zhen Tan China
Weifang Xie China
Javed United States
C.S. Cox United Kingdom
Azal Ahmad Khan United States
Keyu Li relative to N Sharmila India N Sharmila's profile →
Citations per field
00.5×3.5×
N Sharmila · 1×
Citations per year

Countries citing papers authored by Keyu Li

Since Specialization
Citations

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

Fields of papers citing papers by Keyu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202229
2 202125
3 202417
4 200612
5 202312
6 202212
7 202212
8 200811
9 20219
10 20219
11 20198
12 20227
13 20254
14 20253
15 20232
16 20212
17 20231
18 20141
19 20251
20 20241

About Keyu Li

Keyu Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering and Computer Networks and Communications, having authored 21 papers that have together received 178 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (5 papers), Advanced Image Processing Techniques (5 papers), Advanced Vision and Imaging (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Gaussian Processes and Bayesian Inference (2 papers), AI in cancer detection (2 papers), High voltage insulation and dielectric phenomena (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Media Technology (29 citations), Computer Vision and Pattern Recognition (58 citations), Industrial and Manufacturing Engineering (14 citations), Water Science and Technology (20 citations) and Control and Systems Engineering (27 citations). Keyu Li has collaborated with scholars based in China and United States. Frequent co-authors include Jingwei Xin, Nannan Wang, Xinbo Gao, Xinrui Jiang, Sridhar Ungarala, Xi Yang, Xiaolong He, Yuehua Chen, Jie Li and Yingming Gao. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Industrial & Engineering Chemistry Research, Environmental Pollution, Energy Science & Engineering and IEEE Transactions on Image Processing.

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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