Chao Kang

710 total citations
36 papers, 568 citations indexed

About

Chao Kang is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Chao Kang has authored 36 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Civil and Structural Engineering, 13 papers in Management, Monitoring, Policy and Law and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Chao Kang's work include Landslides and related hazards (13 papers), Dam Engineering and Safety (11 papers) and Geotechnical Engineering and Underground Structures (9 papers). Chao Kang is often cited by papers focused on Landslides and related hazards (13 papers), Dam Engineering and Safety (11 papers) and Geotechnical Engineering and Underground Structures (9 papers). Chao Kang collaborates with scholars based in Canada, China and Singapore. Chao Kang's co-authors include Dave Chan, Fanyu Zhang, Alireza Bayat, Yaolin Yi, Jianbing Peng, Liang Zhang, Weijiang Wu, Peng Cui, Fenghuan Su and Xiangjun Pei and has published in prestigious journals such as The Science of The Total Environment, Construction and Building Materials and TrAC Trends in Analytical Chemistry.

In The Last Decade

Chao Kang

33 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Kang Canada	14	321	320	123	86	77	36	568
Lei Nie China	15	374 1.2×	224 0.7×	123 1.0×	106 1.2×	42 0.5×	58	670
Francesca Casini Italy	19	684 2.1×	403 1.3×	105 0.9×	143 1.7×	82 1.1×	57	936
Pengcheng Su China	17	371 1.2×	463 1.4×	66 0.5×	250 2.9×	149 1.9×	45	972
Shao-Heng He China	15	568 1.8×	113 0.4×	92 0.7×	43 0.5×	51 0.7×	42	817
Qingyi Mu China	17	491 1.5×	325 1.0×	38 0.3×	140 1.6×	29 0.4×	56	847
Steinar Nordal Norway	15	521 1.6×	278 0.9×	109 0.9×	165 1.9×	30 0.4×	56	762
Claudia Vitone Italy	14	439 1.4×	306 1.0×	176 1.4×	33 0.4×	68 0.9×	39	609
Leslie George Tham Hong Kong	9	265 0.8×	245 0.8×	120 1.0×	72 0.8×	69 0.9×	16	407
Liuyuan Zhao China	14	251 0.8×	201 0.6×	129 1.0×	71 0.8×	35 0.5×	39	525

Countries citing papers authored by Chao Kang

Since Specialization

Citations

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

Fields of papers citing papers by Chao Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Kang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiao, Hai, et al.. (2025). Short-term bioclogging and recovery characteristics of pervious concrete. Construction and Building Materials. 475. 141186–141186.

Pan, Gang, et al.. (2025). Temporal defect point localization in pipe CCTV videos with transformers. Automation in Construction. 175. 106160–106160.

Hu, Xinli, et al.. (2024). 1-g physical modeling in engineering geology and its application of pile-reinforced reservoir landslides. Engineering Geology. 331. 107450–107450. 11 indexed citations

Xie, Na, et al.. (2024). Insight of heavy metal contamination of soil in high background area: field investigation and laboratory test. International Journal of Environmental Science and Technology. 22(5). 2833–2848. 1 indexed citations

Kang, Chao, et al.. (2024). Deformation Behavior of a Large-Scale Excavation and the Effect of an Adjacent Foundation Pit on the Excavation. International Journal of Civil Engineering. 22(8). 1493–1505. 8 indexed citations

Kang, Chao, et al.. (2022). Characteristics of a Large-Scale Deep Foundation Pit Excavated by the Central-Island Technique in Chengdu Soft Clay. KSCE Journal of Civil Engineering. 26(6). 2610–2623. 8 indexed citations

Zhang, Fanyu, et al.. (2021). A catastrophic flowslide that overrides a liquefied substrate: the 1983 Saleshan landslide in China. Earth Surface Processes and Landforms. 46(10). 2060–2078. 21 indexed citations

Kang, Chao, et al.. (2021). Study of kinematic characteristics of a rock avalanche and subsequent erosion process due to a debris flow in Wenjia gully, Sichuan, China. Natural Hazards. 106(1). 937–964. 5 indexed citations

Kang, Chao, et al.. (2021). Assessing Friction Coefficient in HDD Using Analytical Models. Journal of Pipeline Systems Engineering and Practice. 12(3). 1 indexed citations

10.

Kang, Chao, Su‐Chin Chen, Dave Chan, & Samkele S. Tfwala. (2020). Numerical modeling of large-scale dam breach experiment. Landslides. 17(12). 2737–2754. 11 indexed citations

11.

Rostami, Ali, Chao Kang, Yaolin Yi, & Alireza Bayat. (2020). Numerical Modeling of the Annular Failure Pressure during HDD in Noncohesive Soils. Journal of Pipeline Systems Engineering and Practice. 11(2). 2 indexed citations

12.

Kang, Chao, et al.. (2019). Assessment of the clogging potential of two clays. Applied Clay Science. 178. 105134–105134. 13 indexed citations

13.

Yi, Yaolin, Chao Kang, & Alireza Bayat. (2019). Predicting one-dimensional compression of tire derived aggregate using a simple method. SOILS AND FOUNDATIONS. 59(5). 1292–1301. 5 indexed citations

14.

Kang, Chao & Dave Chan. (2018). A progressive entrainment runout model for debris flow analysis and its application. Geomorphology. 323. 25–40. 13 indexed citations

15.

Kang, Chao, Yaolin Yi, & Alireza Bayat. (2018). Performance evaluation of TBM clogging potential for plain and conditioning soil using a newly developed laboratory apparatus. International Journal of Geotechnical Engineering. 14(5). 463–472. 16 indexed citations

16.

Kang, Chao, et al.. (2018). Characteristics and dynamic runout analyses of 1983 Saleshan landslide. Engineering Geology. 243. 181–195. 40 indexed citations

17.

Kang, Chao & Dave Chan. (2018). Numerical simulation of 2D granular flow entrainment using DEM. Granular Matter. 20(1). 39 indexed citations

18.

Zhang, Fanyu, Chao Kang, Dave Chan, et al.. (2017). A study of a flowslide with significant entrainment in loess areas in China. Earth Surface Processes and Landforms. 42(14). 2295–2305. 49 indexed citations

19.

Kang, Chao, et al.. (2017). Clogging potential of tunnel boring machine (TBM): a review. International Journal of Geotechnical Engineering. 12(3). 316–323. 25 indexed citations

20.

Kang, Chao & Dave Chan. (2017). Modeling of Entrainment in Debris Flow Analysis for Dry Granular Material. International Journal of Geomechanics. 17(10). 21 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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