Beibei Yang

841 total citations · 2 hit papers
15 papers, 655 citations indexed

About

Beibei Yang is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Beibei Yang has authored 15 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management, Monitoring, Policy and Law, 10 papers in Civil and Structural Engineering and 5 papers in Global and Planetary Change. Recurrent topics in Beibei Yang's work include Landslides and related hazards (13 papers), Dam Engineering and Safety (9 papers) and Flood Risk Assessment and Management (5 papers). Beibei Yang is often cited by papers focused on Landslides and related hazards (13 papers), Dam Engineering and Safety (9 papers) and Flood Risk Assessment and Management (5 papers). Beibei Yang collaborates with scholars based in China, Norway and United States. Beibei Yang's co-authors include Suzanne Lacasse, Kunlong Yin, Zhongqiang Liu, Ting Xiao, Luqi Wang, Lei Gui, Guirong Zhang, Liu L, Faming Huang and Zhongqiang Liu and has published in prestigious journals such as Sensors, Remote Sensing and Gondwana Research.

In The Last Decade

Beibei Yang

15 papers receiving 645 citations

Hit Papers

Time series analysis and long short-term memory neural ne... 2019 2026 2021 2023 2019 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beibei Yang China 9 495 343 153 137 107 15 655
Tung‐Lin Tsai Taiwan 15 399 0.8× 355 1.0× 165 1.1× 85 0.6× 63 0.6× 33 680
Lei Gui China 13 625 1.3× 252 0.7× 154 1.0× 230 1.7× 248 2.3× 31 774
Yueping Yin China 8 381 0.8× 183 0.5× 136 0.9× 126 0.9× 139 1.3× 17 649
Chaoyang He China 12 632 1.3× 138 0.4× 111 0.7× 313 2.3× 194 1.8× 28 776
Wolfgang Fellin Austria 19 486 1.0× 492 1.4× 250 1.6× 178 1.3× 108 1.0× 70 973
Kunlong Yin China 12 460 0.9× 148 0.4× 96 0.6× 189 1.4× 167 1.6× 29 556
Nengpan Ju China 18 777 1.6× 451 1.3× 317 2.1× 233 1.7× 134 1.3× 60 1.0k
Fasheng Miao China 20 959 1.9× 697 2.0× 366 2.4× 224 1.6× 150 1.4× 49 1.1k
Francesco Antolini Italy 11 412 0.8× 135 0.4× 92 0.6× 174 1.3× 92 0.9× 21 643
Shiluo Xu China 6 306 0.6× 136 0.4× 61 0.4× 104 0.8× 137 1.3× 8 399

Countries citing papers authored by Beibei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Beibei Yang. A scholar is included among the top collaborators of Beibei Yang 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 Yang. Beibei Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Xiao, Ting, et al.. (2025). Uncertainty-aware ensemble learning and dynamic threshold optimization for landslide susceptibility mapping. Computers & Geosciences. 206. 106042–106042. 1 indexed citations
2.
Miao, Fasheng, et al.. (2025). Hybrid prediction for reservoir landslide deformation based on multi-source InSAR and deep learning. Bulletin of Engineering Geology and the Environment. 84(6). 1 indexed citations
3.
Yang, Beibei, Zhongqiang Liu, Suzanne Lacasse, & Xin Liang. (2024). Spatiotemporal deformation characteristics of Outang landslide and identification of triggering factors using data mining. Journal of Rock Mechanics and Geotechnical Engineering. 16(10). 4088–4104. 8 indexed citations
4.
Liu, Leilei, et al.. (2024). Ensemble learning for landslide displacement prediction: A perspective of Bayesian optimization and comparison of different time series analysis methods. Stochastic Environmental Research and Risk Assessment. 38(8). 3031–3058. 3 indexed citations
6.
Wang, Luqi, Ting Xiao, Songlin Liu, et al.. (2023). Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation. Gondwana Research. 123. 27–40. 76 indexed citations breakdown →
7.
Yang, Beibei, Zhongqiang Liu, Suzanne Lacasse, Luqi Wang, & Ting Xiao. (2023). Deformation triggers and stability evolution of landslide from multiple observations. Frontiers in Ecology and Evolution. 11. 1 indexed citations
8.
Yang, Beibei, Ting Xiao, Luqi Wang, & Wei Huang. (2022). Using Complementary Ensemble Empirical Mode Decomposition and Gated Recurrent Unit to Predict Landslide Displacements in Dam Reservoir. Sensors. 22(4). 1320–1320. 15 indexed citations
9.
Ge, Qi, Hongyue Sun, Zhongqiang Liu, et al.. (2021). A novel approach for displacement interval forecasting of landslides with step-like displacement pattern. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 16(3). 489–503. 16 indexed citations
10.
Liu, Zhongqiang, Dong Guo, Suzanne Lacasse, et al.. (2020). Algorithms for intelligent prediction of landslide displacements. Journal of Zhejiang University. Science A. 21(6). 412–429. 73 indexed citations
11.
Yang, Beibei, Kunlong Yin, Suzanne Lacasse, & Zhongqiang Liu. (2019). Time series analysis and long short-term memory neural network to predict landslide displacement. Landslides. 16(4). 677–694. 305 indexed citations breakdown →
12.
Yang, Beibei, Kunlong Yin, Ting Xiao, Lixia Chen, & Juan Du. (2017). Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges Reservoir, China. Environmental Earth Sciences. 76(16). 53 indexed citations
13.
Huang, Faming, Kunlong Yin, Guirong Zhang, et al.. (2016). Landslide displacement prediction using discrete wavelet transform and extreme learning machine based on chaos theory. Environmental Earth Sciences. 75(20). 90 indexed citations
14.
Zou, Chen, Xianwei Liang, Beibei Yang, et al.. (2007). Study on energy metabolism of dairy buffalo heifersin Guangxi, China. Journal of Animal and Feed Sciences. 16(Suppl. 2). 54–58. 1 indexed citations
15.
Zhang, Xing, et al.. (2006). 321 PREGNANCIES ESTABLISHED FOLLOWING TRANSFER OF IN VITRO -PRODUCED FRESH AND FROZEN–THAWED BUFFALO ( BUBALUS BUBALIS ) EMBRYOS. Reproduction Fertility and Development. 19(1). 276–276. 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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