Da Li

568 citations
38 papers · 387 · h-index 8

Impact in

Papers in

    • Video Surveillance and Tracking Methods 9
    • Advanced Image and Video Retrieval Techniques 4
    • Human Pose and Action Recognition 3
    • Image Retrieval and Classification Techniques 3
    • Privacy-Preserving Technologies in Data 4
    • Cryptography and Data Security 3

Da Li

30 papers receiving 371 citations

Peers

Da Li
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 143
  • Computer Networks and Communications 156
  • Transportation 23
  • Electrical and Electronic Engineering 122
  • Artificial Intelligence 67
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Citations per field
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Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007118
2 201998
3 200839
4 201722
5 202020
6 202219
7 20219
8 20149
9 20235
10 20234
11 20184
12 20224
13 20214
14 20233
15 20243
16 20173
17 20213
18 20212
19 20212
20 20222

About Da Li

Da Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Aerospace Engineering and Information Systems, having authored 38 papers that have together received 387 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Infrared Target Detection Methodologies (7 papers), Privacy-Preserving Technologies in Data (4 papers), Blockchain Technology Applications and Security (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Cryptography and Data Security (3 papers), Human Pose and Action Recognition (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Computer Networks and Communications (156 citations), Transportation (23 citations), Electrical and Electronic Engineering (122 citations) and Artificial Intelligence (67 citations). Da Li has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Wei Shu, Min‐You Wu, Xu Li, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Tianyuan Yu, Jianping Li, Hongyu Huang and Ruifang Li‐Gao. Their work appears in journals such as Optics Express, International Journal of Biological Macromolecules, Applied Energy, Engineering Applications of Artificial Intelligence and International Journal of Computational Intelligence Systems.

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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