Beibei Chen

1.4k total citations
54 papers, 1.1k citations indexed

About

Beibei Chen is a scholar working on Aerospace Engineering, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Beibei Chen has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Aerospace Engineering, 38 papers in Atmospheric Science and 19 papers in Environmental Engineering. Recurrent topics in Beibei Chen's work include Synthetic Aperture Radar (SAR) Applications and Techniques (47 papers), Cryospheric studies and observations (34 papers) and Groundwater and Watershed Analysis (15 papers). Beibei Chen is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (47 papers), Cryospheric studies and observations (34 papers) and Groundwater and Watershed Analysis (15 papers). Beibei Chen collaborates with scholars based in China, United States and Australia. Beibei Chen's co-authors include Huili Gong, Chaofan Zhou, Mingliang Gao, Xiaojuan Li, Min Shi, Kunchao Lei, Lin Guo, Guangyao Duan, Lin Zhu and Yinghai Ke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hydrology.

In The Last Decade

Beibei Chen

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Chen China 20 786 418 367 362 190 54 1.1k
Pablo Ezquerro Spain 18 727 0.9× 308 0.7× 467 1.3× 309 0.9× 226 1.2× 40 1.1k
Mingliang Gao China 18 775 1.0× 417 1.0× 352 1.0× 390 1.1× 210 1.1× 41 1.1k
Chaofan Zhou China 21 1.1k 1.4× 536 1.3× 463 1.3× 522 1.4× 269 1.4× 56 1.4k
Raffaele Nutricato Italy 14 598 0.8× 353 0.8× 353 1.0× 235 0.6× 115 0.6× 81 909
Jörn Hoffmann Germany 10 690 0.9× 285 0.7× 250 0.7× 406 1.1× 281 1.5× 23 1.0k
Marta Béjar‐Pizarro Spain 22 1.0k 1.3× 465 1.1× 648 1.8× 368 1.0× 302 1.6× 53 1.7k
Hans‐Ulrich Wetzel Germany 19 462 0.6× 330 0.8× 343 0.9× 238 0.7× 125 0.7× 36 1.1k
Dirk Geudtner Netherlands 17 1.0k 1.3× 660 1.6× 274 0.7× 483 1.3× 153 0.8× 76 1.6k
Francesco Zucca Italy 19 655 0.8× 583 1.4× 649 1.8× 225 0.6× 165 0.9× 62 1.3k

Countries citing papers authored by Beibei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Chen. A scholar is included among the top collaborators of Beibei Chen 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 Beibei Chen. Beibei Chen 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.
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.
2.
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
3.
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
4.
Li, Wenqi, Bo Gao, Huili Gong, & Beibei Chen. (2023). Construction of High Spatiotemporal Continuity Surface Water Bodies Dataset in the Haihe River Basin. Water. 15(12). 2155–2155. 1 indexed citations
5.
6.
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
7.
Wang, Zijian, Lin Guo, Huili Gong, et al.. (2023). Land subsidence simulation based on Extremely Randomized Trees combined with Monte Carlo algorithm. Computers & Geosciences. 178. 105415–105415. 8 indexed citations
8.
Li, Xiaojuan, Yinghai Ke, Lin Zhu, et al.. (2023). Reconstruction of spatially continuous time-series land subsidence based on PS-InSAR and improved MLS-SVR in Beijing Plain area. GIScience & Remote Sensing. 60(1). 5 indexed citations
9.
Zhu, Lin, Huili Gong, Guo Lin, et al.. (2022). Land subsidence simulation in the east of Beijing plain based on the AM-LSTM Network. National Remote Sensing Bulletin. 26(7). 1302–1314. 2 indexed citations
10.
Gong, Huili, et al.. (2021). Long-term and seasonal variation in groundwater storage in the North China Plain based on GRACE. International Journal of Applied Earth Observation and Geoinformation. 104. 102560–102560. 46 indexed citations
11.
12.
Zhou, Di, et al.. (2020). Integrating RELAX with PS-InSAR Technique to Improve Identification of Persistent Scatterers for Land Subsidence Monitoring. Remote Sensing. 12(17). 2730–2730. 6 indexed citations
13.
Li, Junjun, et al.. (2020). Superpixel-based imaging for residential area detection of high spatial resolution remote sensing imagery. Journal of Applied Remote Sensing. 14(2). 1–1.
14.
Li, Fengkai, Huili Gong, Beibei Chen, Chaofan Zhou, & Lin Guo. (2020). Analysis of the Contribution Rate of the Influencing Factors to Land Subsidence in the Eastern Beijing Plain, China Based on Extremely Randomized Trees (ERT) Method. Remote Sensing. 12(18). 2963–2963. 20 indexed citations
15.
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
16.
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
17.
Gong, Huili, et al.. (2019). Time-Series Evolution Patterns of Land Subsidence in the Eastern Beijing Plain, China. Remote Sensing. 11(5). 539–539. 26 indexed citations
18.
Yang, Qin, Yinghai Ke, Dongyi Zhang, et al.. (2018). Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique. Remote Sensing. 10(7). 1006–1006. 65 indexed citations
19.
Gong, Huili, et al.. (2017). Review of Three-dimensional Surface Deformation Acquisition from InSAR Measurements and Its Application. Bulletin of Surveying and Mapping. 1. 1 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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