Xiaolin Li

1.6k citations
41 papers · 1.1k · h-index 17

Impact in

    • Optical measurement and interference techniques
    • Multimodal Machine Learning Applications
    • Human Pose and Action Recognition
    • Handwritten Text Recognition Techniques
    • Video Analysis and Summarization
    • Image Processing Techniques and Applications

Papers in

Xiaolin Li

37 papers receiving 1.1k citations

Peers

Xiaolin Li
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 418
  • Media Technology 120
  • Computer Graphics and Computer-Aided Design 30
  • Artificial Intelligence 245
  • Human-Computer Interaction 36
Replace L. Yang with:
L. Yang China
Amit Saxena India
Jie Song China
Sizhe Wang China
Xun Wang China
D. Dutta Majumder India
Xiaodong Fu China
Yu United States
Xiaolin Li relative to L. Yang China L. Yang's profile →
Citations per field
00.5×10×15×18×
L. Yang · 1×
Citations per year

Countries citing papers authored by Xiaolin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 2005122
3 200099
4 201987
5 202078
6 200653
7 201949
8 199748
9 201947
10 202147
11 201246
12 201445
13 199836
14 202033
15 201228
16 200920
17 202217
18 202216
19 201815
20 200412

About Xiaolin Li

Xiaolin Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Plant Science and Computational Mechanics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Agriculture and AI (4 papers), Evolutionary Algorithms and Applications (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Vision and Imaging (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Handwritten Text Recognition Techniques (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (418 citations), Media Technology (120 citations), Computer Graphics and Computer-Aided Design (30 citations), Artificial Intelligence (245 citations) and Human-Computer Interaction (36 citations). Xiaolin Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Song Zhang, Shing‐Tung Yau, Marc Parizeau, Réjean Plamondon, Yanjie Fu, Shoujun Huang, Deng-Kui Si, Dit‐Yan Yeung, Hui Xiong and James Glimm. Their work appears in journals such as Pattern Recognition, Journal of Computational Physics, Frontiers in Neurorobotics, Economic Modelling and Machine Vision 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.

Explore authors with similar magnitude of impact