Kun Li

1.7k citations
102 papers · 1.3k · h-index 19

Impact in

Papers in

    • Seismic Imaging and Inversion Techniques 57
    • Geophysical and Geoelectrical Methods 6
    • Hydrocarbon exploration and reservoir analysis 5
    • Rock Mechanics and Modeling 5

Kun Li

90 papers receiving 1.3k citations

Peers

Kun Li
Comparison fields: 5 of 65
  • Geophysics 469
  • Electrical and Electronic Engineering 431
  • Environmental Chemistry 54
  • Mechanics of Materials 101
  • General Engineering 1
Replace Shuo Ma with:
Shuo Ma United States
Yanxin Li China
Peng Jie Liu China
Yu Yu China
Éric Touboul France
Zewei Wang China
Viktor Nikitin United States
Hiroaki Niitsuma Japan
Ying Da Wang Australia
Kun Li relative to Shuo Ma United States Shuo Ma's profile →
Citations per field
00.5×5×10×16.0×
Shuo Ma · 1×
Citations per year

Countries citing papers authored by Kun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202098
2 202079
3 201978
4 202078
5 201970
6 202069
7 202158
8 202257
9 201853
10 202046
11 201732
12 202131
13 202129
14 202227
15 202125
16 202225
17 201622
18 202022
19 201721
20 202019

About Kun Li

Kun Li is a scholar working on Geophysics, Mechanics of Materials, Computer Vision and Pattern Recognition, Oceanography and Electrical and Electronic Engineering, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (57 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Geophysical and Geoelectrical Methods (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Rock Mechanics and Modeling (5 papers), Geochemistry and Geologic Mapping (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Geophysics (469 citations), Electrical and Electronic Engineering (431 citations), Environmental Chemistry (54 citations), Mechanics of Materials (101 citations) and General Engineering (1 citation). Kun Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xingyao Yin, Zhaoyun Zong, Qingzhong Xue, Xiao Chang, Xurong Qiao, Fujun Xia, Xiaofang Li, Ya Xiong, Tianyu Zhao and Shifan Yu. Their work appears in journals such as Geophysics, IEEE Transactions on Geoscience and Remote Sensing, Petroleum Science, Sensors and Actuators B Chemical and Journal of Geophysics and Engineering.

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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