Kangning Cui

439 citations
27 papers · 289 · h-index 11

Impact in

Papers in

    • Remote-Sensing Image Classification 10
    • Advanced Image Fusion Techniques 3
    • Remote Sensing in Agriculture 5
    • Wildlife-Road Interactions and Conservation 2

Kangning Cui

21 papers receiving 283 citations

Peers

Kangning Cui
Comparison fields: 5 of 55
  • Media Technology 85
  • Computational Mathematics 2
  • Analytical Chemistry 29
  • Atmospheric Science 35
  • Environmental Engineering 28
Replace Rebeca dos Santos de Moura with:
Rebeca dos Santos de Moura Brazil
B. Sathya Bama India
Atiya Khan India
Ufuk Sakarya Türkiye
Sriram Baireddy United States
Nitin Bhatia India
Jun Jie Zhu China
Yu Oishi Japan
Sandeep V. Gaikwad India
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Citations per field
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Citations per year

Countries citing papers authored by Kangning Cui

Since Specialization
Citations

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

Fields of papers citing papers by Kangning Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202250
2 202445
3 202520
4 202520
5 202515
6 202414
7 202214
8 202314
9 202213
10 202511
11 202211
12 202211
13 202411
14 202110
15 20249
16 20226
17 20256
18 20264
19 20252
20 20262

About Kangning Cui

Kangning Cui is a scholar working on Media Technology, Ecology, Computer Vision and Pattern Recognition, Atmospheric Science and Analytical Chemistry, having authored 27 papers that have together received 289 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Remote Sensing in Agriculture (5 papers), Smart Agriculture and AI (4 papers), Remote Sensing and Land Use (3 papers), Advanced Image Fusion Techniques (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Face and Expression Recognition (2 papers) and Wildlife-Road Interactions and Conservation (2 papers). The work is most often cited by research in Media Technology (85 citations), Computational Mathematics (2 citations), Analytical Chemistry (29 citations), Atmospheric Science (35 citations) and Environmental Engineering (28 citations). Kangning Cui has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Robert J. Plemmons, Raymond H. Chan, James Michael Murphy, Rui-Feng Wang, V. Paúl Pauca, Miles R. Silman, Sarra Alqahtani, David A. Lutz, Evan Nylen Dethier and Hongsheng Zhang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Plants, Industrial Crops and Products and Computers in Biology and Medicine.

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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