Bin Cheng

5.8k citations
178 papers · 3.5k · 1 hit paper · h-index 33

Impact in

Papers in

Bin Cheng

161 papers receiving 3.4k citations

Hit Papers

Learning with $\ell ^{1}$-graph for image analysis 2010 · 484 citations
4840+5+10Years since publication100200300400

Peers

Bin Cheng
Comparison fields: 5 of 116
  • Computational Mathematics 87
  • Atmospheric Science 2.2k
  • Computer Vision and Pattern Recognition 908
  • Media Technology 267
  • Oceanography 281
Replace Gang Yang with:
Gang Yang China
Tatsuya Yokota Japan
Pingxiang Li China
Bormin Huang United States
Xingzhao Liu China
Ivana Tošić Serbia
Florence Tupin France
Wen Yang China
Jian Kang China
Hongjun Su China
Bin Cheng relative to Gang Yang China Gang Yang's profile →
Citations per field
00.5×4.8×
Gang Yang · 1×
Citations per year

Countries citing papers authored by Bin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning with $\ell ^{1}$-graph for image analysis
Hit paper breakdown →
2010484
2 2011149
3 1998134
4 2014133
5 2010105
6 201198
7 201795
8 200884
9 201070
10 201465
11 201264
12 200964
13
Surface heat budget over the Weddell Sea: Buoy results and model comparisons with Large-Scale Models
200257
14 200253
15 201451
16 201751
17 201346
18 200646
19
Modelling of Superimposed Ice Formation and Sub-Surface Melting in the Baltic Sea
200345
20 200944

About Bin Cheng

Bin Cheng is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition, Global and Planetary Change, Computational Mechanics and Artificial Intelligence, having authored 178 papers that have together received 3.5k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (125 papers), Cryospheric studies and observations (105 papers), Climate change and permafrost (101 papers), Sparse and Compressive Sensing Techniques (11 papers), Climate variability and models (9 papers), Methane Hydrates and Related Phenomena (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computational Mathematics (87 citations), Atmospheric Science (2.2k citations), Computer Vision and Pattern Recognition (908 citations), Media Technology (267 citations) and Oceanography (281 citations). Bin Cheng has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Shuicheng Yan, Timo Vihma, Yun Fu, Thomas S. Huang, Jouko Launiainen, Matti Leppäranta, Peng Lü, Mats A. Granskog, Zhanhai Zhang and Zhijun Li. Their work appears in journals such as Annals of Glaciology, ˜The œcryosphere, International Journal of Digital Earth, Journal of Geophysical Research Oceans and Remote Sensing.

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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