Chaofan Zhou

1.8k total citations
56 papers, 1.4k citations indexed

About

Chaofan Zhou is a scholar working on Aerospace Engineering, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Chaofan Zhou has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Aerospace Engineering, 32 papers in Atmospheric Science and 20 papers in Environmental Engineering. Recurrent topics in Chaofan Zhou's work include Synthetic Aperture Radar (SAR) Applications and Techniques (43 papers), Cryospheric studies and observations (31 papers) and Groundwater and Watershed Analysis (18 papers). Chaofan Zhou is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (43 papers), Cryospheric studies and observations (31 papers) and Groundwater and Watershed Analysis (18 papers). Chaofan Zhou collaborates with scholars based in China, United States and Australia. Chaofan Zhou's co-authors include Huili Gong, Mingliang Gao, Beibei Chen, Xiaojuan Li, Kunchao Lei, Beibei Chen, Lin Zhu, Min Shi, Guangyao Duan and Wenfeng Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Chaofan Zhou

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaofan Zhou China 21 1.1k 536 522 463 269 56 1.4k
Marta Béjar‐Pizarro Spain 22 1.0k 0.9× 465 0.9× 368 0.7× 648 1.4× 302 1.1× 53 1.7k
Beibei Chen China 20 786 0.7× 418 0.8× 362 0.7× 367 0.8× 190 0.7× 54 1.1k
Pablo Ezquerro Spain 18 727 0.7× 308 0.6× 309 0.6× 467 1.0× 226 0.8× 40 1.1k
Alex Hay‐Man Ng Australia 23 1.3k 1.2× 423 0.8× 404 0.8× 472 1.0× 462 1.7× 80 1.7k
Rosa María Mateos Spain 22 667 0.6× 504 0.9× 286 0.5× 990 2.1× 161 0.6× 56 1.6k
Jörn Hoffmann Germany 10 690 0.6× 285 0.5× 406 0.8× 250 0.5× 281 1.0× 23 1.0k
Thomas J. Burbey United States 22 826 0.8× 281 0.5× 839 1.6× 521 1.1× 662 2.5× 74 2.2k
Mingliang Gao China 18 775 0.7× 417 0.8× 390 0.7× 352 0.8× 210 0.8× 41 1.1k
Michele Saroli Italy 25 548 0.5× 382 0.7× 243 0.5× 615 1.3× 242 0.9× 82 1.9k

Countries citing papers authored by Chaofan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Chaofan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Zhou. A scholar is included among the top collaborators of Chaofan Zhou 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 Chaofan Zhou. Chaofan Zhou 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
1.
Li, Yanyan, Xiao Ge, Yifei Du, et al.. (2025). Spatial distribution and genesis of iron, manganese, arsenic, and nitrogen in groundwater of typical areas. Science China Earth Sciences. 68(9). 2797–2813.
2.
Gong, Huili, et al.. (2025). A physics-informed neural network approach to predicting land subsidence-rebound in Dezhou City under different climate scenarios. Journal of Hydrology Regional Studies. 62. 102773–102773.
3.
Wang, Yongkang, et al.. (2025). Decomposition and attribution analysis of the coupled evolution characteristics of groundwater and land subsidence in the Beijing-Tianjin-Hebei Plain. Journal of Hydrology Regional Studies. 59. 102393–102393. 1 indexed citations
4.
Wang, Haigang, Huili Gong, Jincai Zhang, et al.. (2025). Layered Monitoring of Ground Subsidence Based on Ultra-Weak FBG Sensing Technology: A Case Study in Gaoyang County, China. Micromachines. 16(12). 1380–1380.
5.
Shi, Liyuan, Huili Gong, Beibei Chen, Zhenfeng Shao, & Chaofan Zhou. (2025). Land subsidence simulation considering groundwater and compressible layers based on an improved machine learning method. Journal of Hydrology. 656. 133008–133008. 2 indexed citations
6.
Li, Xiaojuan, et al.. (2025). Study on spatiotemporal variation patterns of groundwater in the North Shandong Plain and its response to precipitation. Frontiers in Earth Science. 13. 1 indexed citations
7.
Li, Yanyan, Yuanyuan Chen, Hongrui Ding, et al.. (2025). Mineralogical and hydrogeochemical insights into the distribution and source of groundwater fluoride in the southern Beijing plain. Journal of Hydrology. 652. 132660–132660. 6 indexed citations
8.
9.
Gong, Huili, et al.. (2024). Research on land subsidence-rebound affected by dualistic water cycle driven by climate change and human activities in Dezhou City, China. Journal of Hydrology. 636. 131327–131327. 12 indexed citations
10.
Zhao, Yixuan, Saiyu Bu, Zhaoning Hu, et al.. (2024). Recent trends in the transfer of graphene films. Nanoscale. 16(16). 7862–7873. 6 indexed citations
11.
Chen, Beibei, et al.. (2023). Unraveling the Deformation and Water Storage Characteristics of Different Aquifer Groups by Integrating PS-InSAR Technology and a Spatial Correlation Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2501–2515. 2 indexed citations
12.
13.
Wang, Lin, Chaofan Zhou, Huili Gong, Beibei Chen, & Xinyue Xu. (2023). Land Subsidence Prediction and Analysis along Typical High-Speed Railways in the Beijing–Tianjin–Hebei Plain Area. Remote Sensing. 15(18). 4606–4606. 6 indexed citations
14.
Yang, Wah, et al.. (2023). Impact of Bariatric Surgery on Cardiac Function and Structure in Chinese Patients with Obesity. Metabolic Syndrome and Related Disorders. 21(7). 378–388.
15.
Gong, Huili, et al.. (2020). Quantitative analysis of uneven subsidence by Moran’s I and cross wavelet. Guotu ziyuan yaogan. 32(2). 186–195. 1 indexed citations
16.
Guo, Lin, Huili Gong, Jiwei Li, et al.. (2020). Understanding Uneven Land Subsidence in Beijing, China, Using a Novel Combination of Geophysical Prospecting and InSAR. Geophysical Research Letters. 47(16). 26 indexed citations
17.
Chen, Beibei, Huili Gong, Yun Chen, et al.. (2020). Land subsidence and its relation with groundwater aquifers in Beijing Plain of China. The Science of The Total Environment. 735. 139111–139111. 113 indexed citations
18.
Chen, Beibei, Kunchao Lei, Wenfeng Chen, et al.. (2019). Characteristics of land subsidence along Beijing-Tianjin inter-city railway (Beijing section). Guotu ziyuan yaogan. 31(1). 171–179. 1 indexed citations
19.
Zhou, Chaofan, Huili Gong, Beibei Chen, et al.. (2019). Quantifying the contribution of multiple factors to land subsidence in the Beijing Plain, China with machine learning technology. Geomorphology. 335. 48–61. 66 indexed citations
20.
Chen, Wenfeng, et al.. (2016). Spatiotemporal evolution of land subsidence around a subway using InSAR time-series and the entropy method. GIScience & Remote Sensing. 54(1). 78–94. 43 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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