L. Zhao

13.1k total citations
41 papers, 996 citations indexed

About

L. Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, L. Zhao has authored 41 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in L. Zhao's work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Neural Network Applications (9 papers). L. Zhao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Neural Network Applications (9 papers). L. Zhao collaborates with scholars based in United States, China and Netherlands. L. Zhao's co-authors include Xi Peng, Dingwen Zhang, Junwei Han, Mengmeng Ma, Dimitris Metaxas, Deyu Meng, Cathy Wu, Jian Ren, Sergey Tulyakov and Yu Tian and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energy and International Journal of Computer Vision.

In The Last Decade

L. Zhao

39 papers receiving 966 citations

Peers

L. Zhao
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 577
  • Artificial Intelligence 367
  • Biomedical Engineering 72
  • Radiology, Nuclear Medicine and Imaging 69
  • Human-Computer Interaction 59
Replace Xi Peng with:
Xi Peng United States
Matt Feiszli Israel
Pietro Morerio Italy
Dongsheng Zhou China
Kimiaki Shirahama Germany
Jinbao Wang China
Mohammad Farukh Hashmi India
Haoxiang Li China
Bappaditya Mandal Singapore
Xi Peng United States View profile →
Citations per field, relative to L. Zhao
L. Zhao · 1×
Citations per year, relative to L. Zhao
L. Zhao · 1×

Countries citing papers authored by L. Zhao

Since Specialization
Citations

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

Fields of papers citing papers by L. Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of L. Zhao. A scholar is included among the top collaborators of L. Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Zhao. L. Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 3
3 3
4 5
5 2
6 1
7 6
8 22
9 1
10 6
11 3
12 8
13 22
14 11
15 3
16
Construct dynamic graphs for hand gesture recognition via spatial-temporal attention
43
17 16
18 2
19 8
20 1

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

Rankless by CCL
2026