Pinglang Kou

429 total citations
27 papers, 289 citations indexed

About

Pinglang Kou is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Pinglang Kou has authored 27 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management, Monitoring, Policy and Law, 10 papers in Atmospheric Science and 10 papers in Aerospace Engineering. Recurrent topics in Pinglang Kou's work include Landslides and related hazards (17 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers) and Soil erosion and sediment transport (9 papers). Pinglang Kou is often cited by papers focused on Landslides and related hazards (17 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers) and Soil erosion and sediment transport (9 papers). Pinglang Kou collaborates with scholars based in China, India and Chile. Pinglang Kou's co-authors include Ali P. Yunus, Zhao Jin, Qiang Xu, Xiaobo Luo, Minghao Liu, Chuanhao Pu, Kuanyao Zhao, Wanlin Chen, Xiujun Dong and Qiang Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Remote Sensing.

In The Last Decade

Pinglang Kou

26 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pinglang Kou China 10 115 94 93 93 66 27 289
Hammadi Achour Tunisia 10 128 1.1× 67 0.7× 92 1.0× 63 0.7× 54 0.8× 25 347
Zhengyi Yao China 11 133 1.2× 145 1.5× 160 1.7× 37 0.4× 110 1.7× 24 399
Alberto Bosino Italy 11 71 0.6× 159 1.7× 94 1.0× 68 0.7× 28 0.4× 25 266
Denis Feurer France 8 54 0.5× 45 0.5× 91 1.0× 60 0.6× 52 0.8× 19 316
Tim Giles Canada 10 113 1.0× 139 1.5× 152 1.6× 65 0.7× 55 0.8× 18 366
Natalie Wagenbrenner United States 13 322 2.8× 54 0.6× 69 0.7× 79 0.8× 176 2.7× 22 468
Corina Cerovski‐Darriau United States 7 89 0.8× 63 0.7× 84 0.9× 169 1.8× 99 1.5× 13 266
Brenda Rosser New Zealand 7 81 0.7× 87 0.9× 104 1.1× 190 2.0× 80 1.2× 14 320
Raffaella Brigante Italy 10 29 0.3× 100 1.1× 108 1.2× 69 0.7× 42 0.6× 22 324
Gregor Luetzenburg Denmark 6 44 0.4× 78 0.8× 53 0.6× 32 0.3× 31 0.5× 13 289

Countries citing papers authored by Pinglang Kou

Since Specialization
Citations

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

Fields of papers citing papers by Pinglang Kou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinglang Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Pinglang Kou. A scholar is included among the top collaborators of Pinglang Kou 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 Pinglang Kou. Pinglang Kou 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.
Kou, Pinglang, Haoran Yu, Qiang Xu, et al.. (2025). Machine learning-based global landslide susceptibility analysis: spatiotemporal variability and dominant environmental associations. Bulletin of Engineering Geology and the Environment. 85(1).
2.
Xu, Qiang, Chuanhao Pu, Xiaochen Wang, et al.. (2025). Revealing terrestrial uplift in large-scale land creation areas on the Loess Plateau using InSAR time series data. Engineering Geology. 347. 107946–107946. 3 indexed citations
3.
Kou, Pinglang, et al.. (2025). Urban subsidence zones prone to flooding: mitigated deformation trends post-2024 Guilin megaflood. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
4.
5.
Kou, Pinglang, et al.. (2024). Hydrological influences on landslide dynamics in the three gorges reservoir area: an SBAS-InSAR study in Yunyang county, Chongqing. Environmental Earth Sciences. 83(16). 3 indexed citations
6.
Kou, Pinglang, Qiang Xu, Zhao Jin, et al.. (2024). Analysis of landslide deformation in eastern Qinghai Province, Northwest China, using SBAS-InSAR. Natural Hazards. 120(6). 5763–5784. 5 indexed citations
7.
Kou, Pinglang, Qiang Xu, Zhao Jin, et al.. (2024). Analyzing gully erosion and deposition patterns in loess tableland: Insights from small baseline subset interferometric synthetic aperture radar (SBAS InSAR). The Science of The Total Environment. 916. 169873–169873. 9 indexed citations
8.
Pu, Chuanhao, Qiang Xu, Xiaochen Wang, et al.. (2024). Vegetation response to large-scale mountain excavation and city construction projects on the Loess Plateau of China. The Science of The Total Environment. 946. 174256–174256. 6 indexed citations
9.
Jin, Zhao, et al.. (2024). Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China. Environmental Earth Sciences. 83(8). 5 indexed citations
10.
11.
12.
Kou, Pinglang, et al.. (2023). Monitoring and evaluation of gully erosion in China's largest loess tableland based on SBAS-InSAR. Natural Hazards. 117(3). 2435–2454. 8 indexed citations
13.
Kou, Pinglang, et al.. (2023). Quantifying night-time light change drivers in China’s Yangtze River economic zone. International Journal of Remote Sensing. 45(21). 7856–7877. 4 indexed citations
14.
Xu, Qiang, Kuanyao Zhao, Xuan Wang, et al.. (2022). Loess tableland geomorphic classification criteria and evolutionary pattern using multiple geomorphic parameters. CATENA. 217. 106493–106493. 5 indexed citations
15.
Kou, Pinglang, Qiang Xu, Zhao Jin, et al.. (2022). Rill erosion on an unpaved loess road surface: Effects and control. Land Degradation and Development. 34(6). 1752–1766. 5 indexed citations
16.
Pu, Chuanhao, Qiang Xu, Kuanyao Zhao, et al.. (2022). Spatiotemporal evolution and surface response of land subsidence over a large-scale land creation area on the Chinese Loess Plateau. International Journal of Applied Earth Observation and Geoinformation. 111. 102835–102835. 16 indexed citations
17.
Kou, Pinglang, Qiang Xu, Zhao Jin, et al.. (2021). Complex anthropogenic interaction on vegetation greening in the Chinese Loess Plateau. The Science of The Total Environment. 778. 146065–146065. 94 indexed citations
18.
Kou, Pinglang, Qiang Xu, Ali P. Yunus, et al.. (2021). Rill development and its change rate: a field experiment under constant rainfall intensity. CATENA. 199. 105112–105112. 13 indexed citations
19.
Kou, Pinglang, Ali P. Yunus, Xiujun Dong, et al.. (2020). Micro-topographic assessment of rill morphology highlights the shortcomings of current protective measures in loess landscapes. The Science of The Total Environment. 737. 139721–139721. 20 indexed citations
20.
Kou, Pinglang, et al.. (2019). Multi-temporal UAV data for assessing rapid rill erosion in typical gully heads on the largest tableland of the Loess Plateau, China. Bulletin of Engineering Geology and the Environment. 79(4). 1861–1877. 17 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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