Beibei Yang

15 papers receiving 645 citations

Beibei Yang's Hit Papers

Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation 2023 · 76 citations
760+2+4Years since publication100200300

Peers

Beibei Yang
Comparison fields: 5 of 57
  • Management, Monitoring, Policy and Law 495
  • Safety, Risk, Reliability and Quality 153
  • Civil and Structural Engineering 343
  • Atmospheric Science 137
  • Global and Planetary Change 107
Replace Yueping Yin with:
Yueping Yin China
Tung‐Lin Tsai Taiwan
Lei Gui China
Chaoyang He China
Nengpan Ju China
Kunlong Yin China
Wolfgang Fellin Austria
Faraz S. Tehrani Netherlands
Shiluo Xu China
Francesco Antolini Italy
Beibei Yang relative to Yueping Yin China Yueping Yin's profile →
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Citations per year

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-authors

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

All Works

15 of 15 papers shown
#Work
1
Time series analysis and long short-term memory neural network to predict landslide displacement
Hit paper breakdown →
2019305
2 201690
3
Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation
Hit paper breakdown →
202376
4 202073
5 201753
6 202116
7 202215
8 202310
9 20248
10 20243
11 20062
12 20231
13 20251
14 20251
15 20071

About Beibei Yang

Beibei Yang is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering, Global and Planetary Change, Safety, Risk, Reliability and Quality and Ecology, having authored 15 papers that have together received 655 indexed citations. Recurring topics across this work include Landslides and related hazards (13 papers), Dam Engineering and Safety (9 papers), Flood Risk Assessment and Management (5 papers), Geotechnical Engineering and Analysis (3 papers), Hydrology and Sediment Transport Processes (2 papers), Reproductive Biology and Fertility (1 paper), Fire effects on ecosystems (1 paper) and Soil and Unsaturated Flow (1 paper). The work is most often cited by research in Management, Monitoring, Policy and Law (495 citations), Safety, Risk, Reliability and Quality (153 citations), Civil and Structural Engineering (343 citations), Atmospheric Science (137 citations) and Global and Planetary Change (107 citations). Beibei Yang has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Suzanne Lacasse, Kunlong Yin, Zhongqiang Liu, Ting Xiao, Luqi Wang, Faming Huang, Liu L, Lei Gui, Guirong Zhang and Zhongqiang Liu. Their work appears in journals such as Environmental Earth Sciences, Remote Sensing, Computers & Geosciences, Reproduction Fertility and Development and Gondwana Research.

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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