Gordon G. D. Zhou

3.6k total citations · 1 hit paper
102 papers, 2.7k citations indexed

About

Gordon G. D. Zhou is a scholar working on Management, Monitoring, Policy and Law, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, Gordon G. D. Zhou has authored 102 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Management, Monitoring, Policy and Law, 46 papers in Computational Mechanics and 40 papers in Civil and Structural Engineering. Recurrent topics in Gordon G. D. Zhou's work include Landslides and related hazards (88 papers), Granular flow and fluidized beds (40 papers) and Hydrology and Sediment Transport Processes (36 papers). Gordon G. D. Zhou is often cited by papers focused on Landslides and related hazards (88 papers), Granular flow and fluidized beds (40 papers) and Hydrology and Sediment Transport Processes (36 papers). Gordon G. D. Zhou collaborates with scholars based in China, Hong Kong and Pakistan. Gordon G. D. Zhou's co-authors include Dongri Song, Clarence Edward Choi, Peng Cui, Xinghua Zhu, Tao Zhao, Kahlil F. E. Cui, Charles Wang Wai Ng, Feng Dai, Jing Zhang and Qicheng Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Gordon G. D. Zhou

94 papers receiving 2.7k citations

Hit Papers

Scientific challenges in disaster risk reduction for the ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gordon G. D. Zhou China 31 2.3k 1.1k 941 746 472 102 2.7k
Clarence Edward Choi Hong Kong 35 2.8k 1.2× 1.1k 1.0× 1.2k 1.3× 1.0k 1.4× 566 1.2× 112 3.3k
Sabatino Cuomo Italy 25 1.9k 0.8× 1.5k 1.3× 605 0.6× 260 0.3× 319 0.7× 83 2.3k
Dongri Song China 23 1.4k 0.6× 550 0.5× 514 0.5× 477 0.6× 244 0.5× 48 1.5k
J.S.H. Kwan Hong Kong 26 1.3k 0.6× 738 0.7× 533 0.6× 383 0.5× 250 0.5× 45 1.7k
Dongpo Wang China 25 1.3k 0.6× 697 0.6× 255 0.3× 196 0.3× 269 0.6× 78 1.8k
Bolin Huang China 27 1.5k 0.7× 950 0.9× 388 0.4× 125 0.2× 168 0.4× 85 2.0k
Fawu Wang Japan 27 2.7k 1.2× 1.6k 1.5× 217 0.2× 215 0.3× 509 1.1× 126 3.3k
Zhenming Shi China 26 1.3k 0.6× 1.5k 1.3× 190 0.2× 353 0.5× 216 0.5× 138 2.3k
Siming He China 18 1.1k 0.5× 509 0.5× 271 0.3× 280 0.4× 268 0.6× 78 1.3k
Siming He China 28 1.1k 0.5× 1.0k 0.9× 378 0.4× 132 0.2× 113 0.2× 89 1.9k

Countries citing papers authored by Gordon G. D. Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Gordon G. D. Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon G. D. Zhou. 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 Gordon G. D. Zhou. The network helps show where Gordon G. D. Zhou may publish in the future.

Co-authorship network of co-authors of Gordon G. D. Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon G. D. Zhou. A scholar is included among the top collaborators of Gordon G. D. Zhou 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 Gordon G. D. Zhou. Gordon G. D. Zhou 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.
Zhou, Gordon G. D., Jens M. Turowski, Kahlil F. E. Cui, et al.. (2025). A Stream Power Based Sediment Entrainment Model Across Geophysical Flows Informed by Machine Learning. Water Resources Research. 61(11).
2.
Gong, Bin, et al.. (2025). The Random RFPA Method for Modelling Rock Failure. Rock Mechanics and Rock Engineering. 58(5). 5115–5128. 9 indexed citations
3.
Zhou, Ta, et al.. (2025). Mechanisms of river dam formation by debris flows highlighted through comparison with dry avalanches. Engineering Geology. 358. 108422–108422.
4.
Zhou, Gordon G. D., et al.. (2025). Influence of flow dynamics on the trapping efficiency and pile-up geometries of multiple-surge granular mass flow. Engineering Geology. 357. 108352–108352.
5.
Bowman, Elisabeth T., et al.. (2025). Fluid effects on the dilatancy of two-phase gravity-driven granular flows. Physics of Fluids. 37(9).
6.
Cui, Kahlil F. E., Gordon G. D. Zhou, & Lü Jing. (2024). Discrete and continuum modelling of rock-ice avalanches: vertical segregation and its feedback on flow mobility. Computers and Geotechnics. 175. 106691–106691. 2 indexed citations
7.
Zhou, Gordon G. D., et al.. (2024). Experimental investigation on the formation and failure of landslide dams considering the landslide mobility and river flow. Engineering Geology. 346. 107873–107873. 7 indexed citations
8.
Zhou, Gordon G. D., et al.. (2023). Classification of Stream, Hyperconcentrated, and Debris Flow Using Dimensional Analysis and Machine Learning. Water Resources Research. 59(2). 15 indexed citations
9.
Zhou, Gordon G. D., et al.. (2023). Microscopic Description of Basal Stress Generated by Granular Free‐Surface Flows. Journal of Geophysical Research Earth Surface. 128(5). 15 indexed citations
10.
Luo, Hongyu, Limin Zhang, Jian He, et al.. (2022). Energy transfer mechanisms in flow-like landslide processes in deep valleys. Engineering Geology. 308. 106798–106798. 10 indexed citations
11.
Cui, Kahlil F. E., Gordon G. D. Zhou, & Lü Jing. (2021). Mechanisms of size segregation in granular flows with different ambient fluids. SHILAP Revista de lepidopterología. 249. 14015–14015. 2 indexed citations
12.
Song, Dongri, et al.. (2021). Flow resistance in the transition from dense to dilute granular-fluid flows. Granular Matter. 23(3). 14 indexed citations
13.
Bossi, Giulia, et al.. (2020). Backward automatic calibration for three-dimensional landslide models. Geoscience Frontiers. 12(1). 231–241. 3 indexed citations
14.
Song, Dongri, Gordon G. D. Zhou, Min Xu, et al.. (2019). Quantitative analysis of debris-flow flexible barrier capacity from momentum and energy perspectives. Engineering Geology. 251. 81–92. 67 indexed citations
15.
Choi, Clarence Edward, Yifei Cui, & Gordon G. D. Zhou. (2018). Utilizing crowdsourcing to enhance the mitigation and management of landslides. Landslides. 15(9). 1889–1899. 14 indexed citations
16.
Sun, Qicheng, et al.. (2017). Simulation of size segregation in granular flow with material point method. SHILAP Revista de lepidopterología. 140. 11010–11010. 1 indexed citations
17.
Li, Shuai, Jianmin Zhang, Xiaoqing Chen, Gordon G. D. Zhou, & Jiangang Chen. (2017). Characteristics of aeration in the flow downstream of a radial gate with a sudden fall-expansion aerator in a discharge tunnel. Water Science & Technology Water Supply. 18(3). 790–798. 2 indexed citations
18.
Zhou, Gordon G. D. & Chaojun Ouyang. (2015). Dimensional analysis of natural debris flows. EGU General Assembly Conference Abstracts. 4353. 1 indexed citations
19.
Zhou, Gordon G. D. & Qiang Sun. (2013). Three-dimensional numerical study on flow regimes of dry granular flows by DEM. Powder Technology. 239. 115–127. 82 indexed citations
20.
Zhou, Gordon G. D. & Charles Wang Wai Ng. (2010). Numerical investigation of reverse segregation in debris flows by DEM. Granular Matter. 12(5). 507–516. 64 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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