Leichao Bai

625 total citations
37 papers, 468 citations indexed

About

Leichao Bai is a scholar working on Soil Science, Ecology and Water Science and Technology. According to data from OpenAlex, Leichao Bai has authored 37 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Soil Science, 16 papers in Ecology and 13 papers in Water Science and Technology. Recurrent topics in Leichao Bai's work include Soil erosion and sediment transport (23 papers), Hydrology and Watershed Management Studies (13 papers) and Hydrology and Sediment Transport Processes (11 papers). Leichao Bai is often cited by papers focused on Soil erosion and sediment transport (23 papers), Hydrology and Watershed Management Studies (13 papers) and Hydrology and Sediment Transport Processes (11 papers). Leichao Bai collaborates with scholars based in China, United States and Belgium. Leichao Bai's co-authors include Juying Jiao, D. C. Reicosky, M. J. Lindstrom, Yixian Chen, Bingzhe Tang, Yulan Chen, Haolin Wang, Yong Li, Liuling Li and Reo Kimura and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Environmental Management.

In The Last Decade

Leichao Bai

32 papers receiving 457 citations

Peers

Leichao Bai

WST

ECOLO

GPC

MMPL

Dongchun Yan China

Anita Veihe Denmark

Wenhui Zhao China

Muqi Xiong China

P. Iaquinta Italy

Pedro Velloso Gomes Batista Brazil

Júlio César Neves dos Santos Brazil

Feichao Wang China

Xingxiu Yu China

Dongchun Yan China

Leichao Bai

243 ×0.7

133 ×0.8

WST

166 ×1.0

ECOLO

60 ×0.5

GPC

58 ×0.9

MMPL

Citations per year, relative to Leichao Bai Leichao Bai (= 1×) peers Dongchun Yan

Countries citing papers authored by Leichao Bai

Since Specialization

Citations

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

Fields of papers citing papers by Leichao Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leichao Bai

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

All Works

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20 of 20 papers shown

Luo, Mingliang, et al.. (2025). Urbanization and Ecosystem Services Supply–Demand Mismatches Across Diverse Resource-Based Cities: Evidence from Sichuan, China. Sustainability. 17(16). 7331–7331. 2 indexed citations

Zhang, Dongfeng, Feng Yang, Shouhui Pan, et al.. (2025). HGATGS: Hypergraph Attention Network for Crop Genomic Selection. Agriculture. 15(4). 409–409. 2 indexed citations

Li, Jinlong, Yanyun Han, Dongfeng Zhang, et al.. (2025). Prediction of hybrid maize adaptation in China using extensive climatic-phenotypic data and machine learning. The Crop Journal. 13(5). 1534–1542.

Bai, Leichao, Kaiyi Wang, Qi Zhang, et al.. (2025). A Study of Maize Genotype–Environment Interaction Based on Deep K-Means Clustering Neural Network. Agriculture. 15(4). 358–358.

Li, Jianjun, et al.. (2024). The secret of nabkha development–From the inspective of surface wind erosion and sand accumulation. CATENA. 240. 107992–107992. 1 indexed citations

Chen, Yulan, Jianjun Li, Ziqi Zhang, et al.. (2024). Modeling soil loss under rainfall events using machine learning algorithms. Journal of Environmental Management. 352. 120004–120004. 5 indexed citations

Bai, Leichao, et al.. (2024). Factors controlling distribution of mountainous gullies at the regional scale: An example of the Yuanmou dry-hot valley (SW China). Progress in Physical Geography Earth and Environment. 48(2). 231–250. 2 indexed citations

Li, Jianjun, Yulan Chen, Juying Jiao, et al.. (2024). Modeling gully initiation by two codeless nonlinear methods: A case study in a small watershed on the Tibetan Plateau. International Soil and Water Conservation Research. 12(4). 747–760.

He, Yifei, Mingliang Luo, Hui Yang, Leichao Bai, & Zhongsheng Chen. (2024). Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods. Applied Sciences. 14(24). 11493–11493.

10.

Bai, Leichao, et al.. (2024). Study of slope length (L) extraction based on slope streamline and the comparison of method results. Scientific Reports. 14(1). 6047–6047. 2 indexed citations

11.

Chen, Yulan, Juying Jiao, Jianjun Li, et al.. (2024). Predicting soil loss in small watersheds under different emission scenarios from CMIP6 using random forests. Earth Surface Processes and Landforms. 49(13). 4469–4484. 3 indexed citations

12.

Deng, Jie, et al.. (2023). Assessing Regional Development Balance Based on Zipf’s Law: The Case of Chinese Urban Agglomerations. ISPRS International Journal of Geo-Information. 12(12). 472–472. 2 indexed citations

13.

Li, Jianjun, Yulan Chen, Juying Jiao, et al.. (2023). Gully erosion susceptibility maps and influence factor analysis in the Lhasa River Basin on the Tibetan Plateau, based on machine learning algorithms. CATENA. 235. 107695–107695. 14 indexed citations

14.

Jiao, Juying, et al.. (2023). Impact of Land Use/Cover Changes on Soil Erosion by Wind and Water from 2000 to 2018 in the Qaidam Basin. Land. 12(10). 1866–1866. 5 indexed citations

15.

Chen, Yulan, Leichao Bai, Juying Jiao, et al.. (2023). Recognition of suitable small watersheds for check dam construction on the Loess Plateau. Land Degradation and Development. 34(14). 4441–4455. 10 indexed citations

16.

Chen, Yixian, Matthias Vanmaercke, Leichao Bai, et al.. (2022). Quantifying the importance of different erosion processes and soil and water conservation measure collapses following an extreme rainstorm in the Chinese Loess Plateau. Land Degradation and Development. 34(2). 403–422. 13 indexed citations

17.

Bai, Leichao, et al.. (2022). A Multi-Criteria Framework for Identification of Gully Developmental Stages Based on UAV Data—A Case Study in Yuanmou County, Yunnan Province, SW China. International Journal of Environmental Research and Public Health. 19(13). 8202–8202. 2 indexed citations

18.

Bai, Leichao, et al.. (2021). Structural Connectivity of Sediment Affected by Check Dams in Loess Hilly-Gully Region, China. Water. 13(19). 2644–2644. 7 indexed citations

19.

Tang, Bingzhe, et al.. (2020). The magnitude of soil erosion on hillslopes with different land use patterns under an extreme rainstorm on the Northern Loess Plateau, China. Soil and Tillage Research. 204. 104716–104716. 22 indexed citations

20.

Bai, Leichao, Juying Jiao, Yixian Chen, et al.. (2020). Soil erosion and sediment interception by check dams in a watershed for an extreme rainstorm on the Loess Plateau, China. International Journal of Sediment Research. 35(4). 408–416. 65 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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