Yin Liang

1.5k total citations · 1 hit paper
46 papers, 1.2k citations indexed

About

Yin Liang is a scholar working on Soil Science, Environmental Engineering and Civil and Structural Engineering. According to data from OpenAlex, Yin Liang has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Soil Science, 14 papers in Environmental Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in Yin Liang's work include Soil erosion and sediment transport (31 papers), Soil and Unsaturated Flow (12 papers) and Soil Geostatistics and Mapping (10 papers). Yin Liang is often cited by papers focused on Soil erosion and sediment transport (31 papers), Soil and Unsaturated Flow (12 papers) and Soil Geostatistics and Mapping (10 papers). Yin Liang collaborates with scholars based in China, Taiwan and Singapore. Yin Liang's co-authors include Longxi Cao, Keli Zhang, Yi Wang, Xianzhang Pan, Jianbo Fan, Zhiguang Li, Xin Wei, Yingna Liu, Qiankun Guo and Suhua Fu and has published in prestigious journals such as Journal of Cleaner Production, Journal of Hydrology and Soil Science Society of America Journal.

In The Last Decade

Yin Liang

45 papers receiving 1.2k citations

Hit Papers

The assessment of soil loss by water erosion in China 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin Liang China 17 890 462 306 189 183 46 1.2k
Zhonglu Guo China 19 809 0.9× 354 0.8× 232 0.8× 116 0.6× 122 0.7× 30 1.1k
Thomas Iserloh Germany 20 947 1.1× 537 1.2× 254 0.8× 143 0.8× 187 1.0× 45 1.2k
Yuhai Bao China 19 555 0.6× 437 0.9× 372 1.2× 143 0.8× 212 1.2× 80 1.3k
Teodorico Alves Sobrinho Brazil 20 909 1.0× 317 0.7× 438 1.4× 200 1.1× 245 1.3× 66 1.3k
Hossein Asadi Iran 24 1.2k 1.3× 574 1.2× 323 1.1× 245 1.3× 116 0.6× 61 1.8k
Faqi Wu China 18 860 1.0× 497 1.1× 311 1.0× 100 0.5× 266 1.5× 44 1.2k
Peng Shi China 16 795 0.9× 478 1.0× 354 1.2× 105 0.6× 277 1.5× 58 1.2k
Antonio Giménez‐Morera Spain 18 1.0k 1.1× 430 0.9× 243 0.8× 129 0.7× 396 2.2× 29 1.5k
Zhaoxia Li China 21 1.0k 1.1× 552 1.2× 313 1.0× 137 0.7× 249 1.4× 50 1.5k

Countries citing papers authored by Yin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yin Liang. A scholar is included among the top collaborators of Yin Liang 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 Yin Liang. Yin Liang 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.
Liang, Yin, et al.. (2025). Biodiversity conservation and corporate environmental information disclosure: Evidence from a quasi-natural experiment in China. International Review of Financial Analysis. 102. 104069–104069. 6 indexed citations
2.
Qu, Lili, et al.. (2025). Effects of antecedent soil moisture on the variability of soil erodibility in red soil. Earth Surface Processes and Landforms. 50(5).
4.
Liang, Yin, et al.. (2024). An integrated solution of energy storage and CO2 reduction: Trans-critical CO2 energy storage system combining carbon capture with LNG cold energy. Journal of Cleaner Production. 482. 144228–144228. 3 indexed citations
5.
Gu, Zhujun, et al.. (2024). Controlling Soil Erosion of Tailings From Rare Earth Mines With Paspalum wettsteinii and Soil Amendments. Land Degradation and Development. 2 indexed citations
6.
Zhao, Yan, et al.. (2024). Assessing the declining trend in soil erodibility across China: A comparison of conventional and digital K-factor maps. International Soil and Water Conservation Research. 13(1). 15–26. 9 indexed citations
7.
Ma, Rui, et al.. (2023). Effects of organic amendments on soil hydraulic characteristics in the Mollisols of Northeast China. Land Degradation and Development. 34(17). 5401–5415. 4 indexed citations
8.
Qu, Lili, et al.. (2023). Spatial variation of soil properties and evaluation of the risk of soil erodibility on a river alluvial and marine sedimentary plain in eastern China. Journal of Soils and Sediments. 23(5). 2106–2119. 3 indexed citations
9.
Qu, Lili, Huizhong Lu, J.M. Schoorl, et al.. (2023). Spatial prediction of soil sand content at various sampling density based on geostatistical and machine learning algorithms in plain areas. CATENA. 234. 107572–107572. 17 indexed citations
10.
Liang, Yin, et al.. (2022). Pore characteristics of physical crust samples from two typical erodible soils in southern China. European Journal of Soil Science. 73(2). 10 indexed citations
11.
Liang, Yin, et al.. (2022). Quantification of physical soil crust thickness and its effects on runoff and sediment yield. Soil Science Society of America Journal. 86(3). 630–642. 10 indexed citations
12.
Liang, Yin, et al.. (2021). Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples. International Soil and Water Conservation Research. 10(1). 62–74. 25 indexed citations
13.
Liang, Yin, et al.. (2019). Multi-scale trend analysis of soil and water erosion control effect in the red soil region of South China. 17(3). 66–74. 1 indexed citations
14.
Shao, Mingan, et al.. (2019). Mesoscale spatial variability of soil‐water content in an alpine meadow on the northern Tibetan Plateau. Hydrological Processes. 33(19). 2523–2534. 10 indexed citations
15.
Liang, Yin, et al.. (2018). Study on soil moisture change under drip irrigation.. Jieshui guan'gai. 5–10. 1 indexed citations
16.
Wang, Yi, Jianbo Fan, Longxi Cao, & Yin Liang. (2015). Infiltration and Runoff Generation Under Various Cropping Patterns in the Red Soil Region of China. Land Degradation and Development. 27(1). 83–91. 57 indexed citations
17.
Cao, Longxi, Keli Zhang, & Yin Liang. (2014). Factors affecting rill erosion of unpaved loess roads in China. Earth Surface Processes and Landforms. 39(13). 1812–1821. 31 indexed citations
18.
Cao, Longxi, et al.. (2013). Modeling Interrill Erosion on Unpaved Roads in the Loess Plateau of China. Land Degradation and Development. 26(8). 825–832. 128 indexed citations
19.
Liang, Yin, et al.. (2011). Quantitative Analysis on the Influence of Long-term Soil and water conservation Measures Harnessing on Runoff and Sediment Yield of Watershed. Procedia Environmental Sciences. 10. 1732–1740. 4 indexed citations
20.
Liang, Yin, et al.. (2009). Quantitative evaluating comprehensive benefit of soil and water conservation at small watershed scale in southern red soil region - a case study of Xingguo County, Jiangxi Province.. Acta Pedologica Sinica. 46(3). 373–380. 1 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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