Kaiming Li

1.6k citations
96 papers · 1.3k · h-index 18

Impact in

Papers in

Kaiming Li

83 papers receiving 1.3k citations

Peers

Kaiming Li
Comparison fields: 5 of 127
  • Aerospace Engineering 341
  • Computer Vision and Pattern Recognition 193
  • Pollution 77
  • Instrumentation 23
  • Water Science and Technology 90
Replace Lijuan Li with:
Lijuan Li China
Dongsheng Liu China
Li Yi China
Chenjie Wang China
Pengyu Zhang China
Simon Pedersen Denmark
Seung‐Mok Lee South Korea
Zhibin Wang China
Kaiming Li relative to Lijuan Li China Lijuan Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kaiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Kaiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2013159
3 2009113
4 202064
5 202157
6 202153
7 202146
8 201036
9 202232
10 202032
11 201930
12 202030
13 202028
14 202227
15 201027
16 201421
17 200819
18 202217
19 201817
20 201716

About Kaiming Li

Kaiming Li is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (38 papers), Radar Systems and Signal Processing (19 papers), Sparse and Compressive Sensing Techniques (12 papers), Microwave Imaging and Scattering Analysis (9 papers), Advancements in Battery Materials (7 papers), Advanced Battery Materials and Technologies (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Measurement and Detection Methods (5 papers). The work is most often cited by research in Aerospace Engineering (341 citations), Computer Vision and Pattern Recognition (193 citations), Pollution (77 citations), Instrumentation (23 citations) and Water Science and Technology (90 citations). Kaiming Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qun Zhang, Ying Luo, Wanglu Jia, Jianzhong Song, Mengbo Zhu, Siye Wei, Jia Hong Pan, Ping’an Peng, Haiyan Song and Xingjun Fan. Their work appears in journals such as Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Sensors Journal, IEEE Transactions on Aerospace and Electronic Systems and Environmental Pollution.

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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