Bin Cheng

5.8k total citations · 1 hit paper
178 papers, 3.5k citations indexed

About

Bin Cheng is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Global and Planetary Change. According to data from OpenAlex, Bin Cheng has authored 178 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Atmospheric Science, 18 papers in Computer Vision and Pattern Recognition and 14 papers in Global and Planetary Change. Recurrent topics in Bin Cheng's work include Arctic and Antarctic ice dynamics (125 papers), Cryospheric studies and observations (105 papers) and Climate change and permafrost (101 papers). Bin Cheng is often cited by papers focused on Arctic and Antarctic ice dynamics (125 papers), Cryospheric studies and observations (105 papers) and Climate change and permafrost (101 papers). Bin Cheng collaborates with scholars based in China, Finland and United States. Bin Cheng's co-authors include Shuicheng Yan, Timo Vihma, Thomas S. Huang, Yun Fu, Jouko Launiainen, Matti Leppäranta, Peng Lü, Mats A. Granskog, Zhanhai Zhang and Zhijun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Bin Cheng

161 papers receiving 3.4k citations

Hit Papers

Learning with $\ell ^{1}$-graph for image analysis 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bin Cheng China 33 2.2k 908 440 313 281 178 3.5k
Bormin Huang United States 24 734 0.3× 668 0.7× 428 1.0× 186 0.6× 83 0.3× 143 2.3k
Gang Yang China 33 1.0k 0.5× 930 1.0× 734 1.7× 129 0.4× 107 0.4× 176 4.1k
Ivana Tošić Serbia 30 659 0.3× 716 0.8× 989 2.2× 487 1.6× 183 0.7× 122 3.0k
Linlin Xu Canada 24 626 0.3× 356 0.4× 328 0.7× 147 0.5× 188 0.7× 152 2.1k
Pingxiang Li China 31 1.5k 0.7× 1.3k 1.5× 1.2k 2.7× 169 0.5× 87 0.3× 168 5.1k
Tatsuya Yokota Japan 33 3.0k 1.4× 238 0.3× 3.7k 8.5× 299 1.0× 88 0.3× 187 4.8k
Florence Tupin France 32 580 0.3× 2.3k 2.5× 170 0.4× 380 1.2× 224 0.8× 158 5.1k
Xingzhao Liu China 26 120 0.1× 596 0.7× 82 0.2× 228 0.7× 179 0.6× 318 2.7k
Feng Gao China 26 704 0.3× 1.1k 1.3× 104 0.2× 68 0.2× 119 0.4× 194 3.0k
Robert Moorhead United States 22 287 0.1× 628 0.7× 162 0.4× 84 0.3× 116 0.4× 122 1.7k

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-authorship network of co-authors of Bin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Cheng. A scholar is included among the top collaborators of Bin Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Cheng. Bin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Deng, Xiao, et al.. (2024). Six-Dimensional Strain Sensor Based on Fiber Bragg Gratings for Frozen Soil. IEEE Transactions on Instrumentation and Measurement. 73. 1–10. 2 indexed citations
3.
Stewart, Jonathan W., et al.. (2023). Personalized symptom clusters that predict depression treatment outcomes: A replication of machine learning methods. Journal of Affective Disorders Reports. 11. 100470–100470. 1 indexed citations
4.
Cheng, Bin, Timo Vihma, Timo Palo, et al.. (2021). Observation and modelling of snow and sea ice mass balance and its sensitivity to atmospheric forcing during spring and summer 2007 in the Central. ADVANCES IN POLAR SCIENCE. 309–323. 2 indexed citations
5.
Cheng, Bin, et al.. (2021). Realizing the Digital Twin Transition for Smart Cities. The Internet of Things. 7(1). 32–42. 5 indexed citations
6.
7.
Lei, Ruibo, et al.. (2021). Seasonal changes in sea ice kinematics and deformation in the Pacific sector of the Arctic Ocean in 2018/19. ˜The œcryosphere. 15(3). 1321–1341. 14 indexed citations
8.
Wang, Qingkai, et al.. (2020). Physical Properties of Summer Sea Ice in the Pacific Sector of the Arctic During 2008–2018. Journal of Geophysical Research Oceans. 125(9). 27 indexed citations
9.
Zhao, Jiechen, Bin Cheng, Timo Vihma, et al.. (2020). Fast Ice Prediction System (FIPS) for land-fast sea ice at Prydz Bay, East Antarctica: an operational service for CHINARE. Annals of Glaciology. 61(83). 271–283. 14 indexed citations
10.
Cheng, Bin, et al.. (2020). Keyword Extraction for Journals Based on Part-of-Speech and BiLSTM-CRF Combined Model. Shuju fenxi yu zhishi faxian. 5(3). 101–108. 2 indexed citations
11.
Vihma, Timo, Petteri Uotila, Stein Sandven, et al.. (2018). Towards the Marine Arctic Component of the Pan-EurasianExperiment. Biogeosciences (European Geosciences Union). 1 indexed citations
12.
Nicolaus, Marcel, Caixin Wang, Sebastian Gerland, et al.. (2015). Advancing the understanding of variations of Arctic sea ice optical and thermal behaviors through an international research and mobility project. ADVANCES IN POLAR SCIENCE. 26(2). 179–187. 2 indexed citations
13.
Vihma, Timo, Roberta Pirazzini, Ilker Fer, et al.. (2014). Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review. Atmospheric chemistry and physics. 14(17). 9403–9450. 133 indexed citations
14.
Tan, Huachun, Bin Cheng, Jianshuai Feng, Li Liu, & Wuhong Wang. (2014). Mixture Augmented Lagrange Multiplier Method for Tensor Recovery and Its Applications. Discrete Dynamics in Nature and Society. 2014. 1–9. 6 indexed citations
15.
Tan, Huachun, Yuankai Wu, Bin Cheng, Wuhong Wang, & Bin Ran. (2014). Robust Missing Traffic Flow Imputation Considering Nonnegativity and Road Capacity. Mathematical Problems in Engineering. 2014(1). 38 indexed citations
16.
Mäkynen, Marko, M. Similä, & Bin Cheng. (2010). On Level Ice Thickness Retrieval in the Kara Sea Using MODIS and Envisat ASAR Data. ESASP. 686. 52. 2 indexed citations
17.
Mäkynen, Marko, M. Similä, Bin Cheng, Vesa Laine, & Juha Karvonen. (2010). Sea Ice Thickness Retrieval In The Baltic Sea Using MODIS And SAR Data. ESASP. 679. 16. 3 indexed citations
18.
Cheng, Bin, et al.. (2009). Preliminary results on relationship between thermal diffusivity and porosity of sea ice in the Antarctic. ADVANCES IN POLAR SCIENCE. 72–80. 2 indexed citations
19.
Cheng, Bin, et al.. (2008). Snow and sea ice thermodynamics in the Arctic:Model validation and sensitivity study against SHEBA data. ADVANCES IN POLAR SCIENCE. 108–122. 1 indexed citations
20.
Zhang, Zhanhai, et al.. (2007). Analyses of structure of planetary boundary layer in ice camp over Arctic ocean. ADVANCES IN POLAR SCIENCE. 8–17. 2 indexed citations

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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