Cong Lin

800 citations
68 papers · 501 · h-index 12

Impact in

Papers in

Cong Lin

62 papers receiving 477 citations

Peers

Cong Lin
Comparison fields: 5 of 86
  • Media Technology 80
  • Computer Vision and Pattern Recognition 162
  • Space and Planetary Science 7
  • Geology 21
  • Conservation 12
Replace Arsenii Ashukha with:
Arsenii Ashukha Russia
Simon Korman Israel
Vittoria Bruni Italy
Muzammal Naseer United Arab Emirates
Weide Liu Singapore
Domenico Vitulano Italy
Dilin Wang United States
Cong Lin relative to Arsenii Ashukha Russia Arsenii Ashukha's profile →
Citations per field
00.5×2×3×4×4.5×
Arsenii Ashukha · 1×
Citations per year

Countries citing papers authored by Cong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202257
2 202437
3 201032
4 202326
5 201926
6 202314
7 197014
8 200714
9 202314
10 201814
11 202212
12 202412
13 202011
14 202511
15 202311
16 202211
17 202511
18 202410
19 201010
20 20099

About Cong Lin

Cong Lin is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 68 papers that have together received 501 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Advanced Image Fusion Techniques (11 papers), Adaptive Control of Nonlinear Systems (8 papers), Antenna Design and Analysis (8 papers), Advanced Image Processing Techniques (8 papers), Stability and Control of Uncertain Systems (8 papers), Stability and Controllability of Differential Equations (7 papers) and Microwave Engineering and Waveguides (7 papers). The work is most often cited by research in Media Technology (80 citations), Computer Vision and Pattern Recognition (162 citations), Space and Planetary Science (7 citations), Geology (21 citations) and Conservation (12 citations). Cong Lin has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Lilan Zou, Xiushan Cai, Siling Feng, Shijie Zhang, Randy R. Sitter, Shaodi You, Jian Wu, Jiawan Zhang, Mengxing Huang and Haoyu Jiang. Their work appears in journals such as Expert Systems with Applications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access, Journal of Electromagnetic Waves and Applications and Scientific Reports.

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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