Deping Li

785 citations
35 papers · 566 · h-index 11

Impact in

Papers in

Deping Li

33 papers receiving 539 citations

Peers

Deping Li
Comparison fields: 5 of 63
  • Atmospheric Science 338
  • Global and Planetary Change 307
  • Health, Toxicology and Mutagenesis 103
  • Geology 33
  • Environmental Engineering 64
Replace Jinah Kim with:
Jinah Kim South Korea
Soon-Young Park South Korea
Jinshun Zhu China
Huili Huang China
Fei Tao China
Jongmin Yoon South Korea
Didier Boldo France
Deping Li relative to Jinah Kim South Korea Jinah Kim's profile →
Citations per field
00.5×8.3×
Jinah Kim · 1×
Citations per year

Countries citing papers authored by Deping Li

Since Specialization
Citations

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

Fields of papers citing papers by Deping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009241
2 201679
3 202029
4 202426
5 202322
6 201922
7 201419
8 201018
9 201212
10 200911
11 202211
12 202310
13 202210
14 20219
15 20237
16 20177
17 20226
18 20244
19 20253
20 20073

About Deping Li

Deping Li is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science, Aerospace Engineering, Global and Planetary Change and Artificial Intelligence, having authored 35 papers that have together received 566 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (5 papers), Robotics and Sensor-Based Localization (5 papers), Atmospheric aerosols and clouds (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Vision and Imaging (3 papers), Statistical Methods and Bayesian Inference (3 papers), Atmospheric Ozone and Climate (3 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Atmospheric Science (338 citations), Global and Planetary Change (307 citations), Health, Toxicology and Mutagenesis (103 citations), Geology (33 citations) and Environmental Engineering (64 citations). Deping Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Philippe Goloub, Huizheng Che, Zhengqiang Li, Bahaiddin Damiri, Huaigang Zhou, Fan Dong, Xiaoye Zhang, Hongbin Chen, Xiaochun Zhang and Ning Liu. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Sensors, Sustainability, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Educational Measurement.

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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