Tingkai Nian

2.1k total citations
81 papers, 1.7k citations indexed

About

Tingkai Nian is a scholar working on Civil and Structural Engineering, Management, Monitoring, Policy and Law and Earth-Surface Processes. According to data from OpenAlex, Tingkai Nian has authored 81 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Civil and Structural Engineering, 44 papers in Management, Monitoring, Policy and Law and 24 papers in Earth-Surface Processes. Recurrent topics in Tingkai Nian's work include Landslides and related hazards (44 papers), Geological formations and processes (24 papers) and Geotechnical Engineering and Underground Structures (22 papers). Tingkai Nian is often cited by papers focused on Landslides and related hazards (44 papers), Geological formations and processes (24 papers) and Geotechnical Engineering and Underground Structures (22 papers). Tingkai Nian collaborates with scholars based in China, United Kingdom and Japan. Tingkai Nian's co-authors include Xingsen Guo, Defeng Zheng, Ning Fan, Hao Wu, Dongyang Li, Yonggang Jia, Zhao Wei, Mao Tian Luan, Runqiu Huang and Cuiwei Fu and has published in prestigious journals such as Sustainability, Engineering Geology and Journal of Geotechnical and Geoenvironmental Engineering.

In The Last Decade

Tingkai Nian

77 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tingkai Nian China	26	991	850	461	426	289	81	1.7k
Xingsen Guo China	22	570 0.6×	426 0.5×	548 1.2×	61 0.1×	239 0.8×	78	1.3k
Scott McDougall Canada	21	869 0.9×	2.1k 2.4×	74 0.2×	421 1.0×	401 1.4×	57	2.4k
K. Been Canada	19	3.3k 3.4×	546 0.6×	89 0.2×	306 0.7×	174 0.6×	50	3.6k
Simon J. Wheeler United Kingdom	29	3.7k 3.7×	1.6k 1.9×	94 0.2×	339 0.8×	97 0.3×	77	4.2k
Sarah M. Springman Switzerland	28	879 0.9×	1.4k 1.6×	40 0.1×	280 0.7×	130 0.4×	78	2.7k
Qingquan Liu China	18	333 0.3×	430 0.5×	133 0.3×	109 0.3×	436 1.5×	112	1.1k
Noel Boylan Australia	15	664 0.7×	214 0.3×	109 0.2×	106 0.2×	79 0.3×	42	886
Valentin Heller United Kingdom	23	1.0k 1.1×	954 1.1×	521 1.1×	29 0.1×	795 2.8×	54	2.1k
Alberto Ledesma Spain	28	1.8k 1.8×	986 1.2×	64 0.1×	433 1.0×	124 0.4×	76	2.4k
Scott A. Ashford United States	28	1.6k 1.6×	415 0.5×	183 0.4×	251 0.6×	83 0.3×	78	2.2k

Countries citing papers authored by Tingkai Nian

Since Specialization

Citations

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

Fields of papers citing papers by Tingkai Nian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingkai Nian

This figure shows the co-authorship network connecting the top 25 collaborators of Tingkai Nian. A scholar is included among the top collaborators of Tingkai Nian 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 Tingkai Nian. Tingkai Nian 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

Nian, Tingkai, et al.. (2025). Numerical investigation of the instability process in underwater sedimentary slopes subjected to seismic action. Engineering Geology. 349. 107977–107977. 2 indexed citations

Wu, Hao, Defeng Zheng, Fang Zhang, & Tingkai Nian. (2025). Effect of particle size on debris avalanche-induced river blockage by laboratory-scale experiments. Landslides. 23(2). 489–504.

Zheng, Defeng, Yuanyuan Li, Chenglin Yan, et al.. (2025). Landslide susceptibility assessment using AutoML-SHAP method in the southern foothills of Changbai Mountain, China. Landslides. 22(6). 1855–1875. 5 indexed citations

Nian, Tingkai, et al.. (2024). Effect of temperature rise on the mechanical behaviour of deep-sea clay surrounding oil and gas pipelines. Ocean Engineering. 302. 117533–117533. 6 indexed citations

Nian, Tingkai, Xingsen Guo, Zhao Wei, et al.. (2024). In-situ strength testing of deep-sea superficial sediments using a high-resolution ball penetrometer. Ocean Engineering. 316. 119929–119929.

Zheng, Defeng, et al.. (2024). Investigation of offshore landslides impact on bucket foundations using a coupled SPH–FEM method. Geoenvironmental Disasters. 11(1). 15 indexed citations

Guo, Xingsen, et al.. (2024). An undrained dynamic strain-pore pressure model for deep-water soft clays from the South China Sea. Frontiers in Marine Science. 11. 3 indexed citations

Zheng, Defeng, et al.. (2024). A review of submarine landslides associated with rapid sedimentation. Marine Georesources and Geotechnology. 43(5). 848–872. 4 indexed citations

Li, Dongyang, et al.. (2023). River blockage and impulse wave evolution of the Baige landslide in October 2018: Insights from coupled DEM-CFD analyses. Engineering Geology. 321. 107169–107169. 44 indexed citations

10.

Fan, Ning, Tingkai Nian, Youkou Dong, et al.. (2023). Impact action of submarine slides on pipelines: A review of the state-of-the-art since 2008. Ocean Engineering. 286. 115532–115532. 34 indexed citations

11.

Wu, Hao, Tingkai Nian, Zhigang Shan, et al.. (2023). Rapid prediction models for 3D geometry of landslide dam considering the damming process. Journal of Mountain Science. 20(4). 928–942. 14 indexed citations

12.

Wu, Hao, Tingkai Nian, & Zhigang Shan. (2023). Investigation of landslide dam life span using prediction models based on multiple machine learning algorithms. Geomatics Natural Hazards and Risk. 14(1). 13 indexed citations

13.

Nian, Tingkai, et al.. (2023). Cross-Scale Analysis on the Working Performance of Micropile Group and Talus Slope System. Sustainability. 15(10). 8154–8154. 3 indexed citations

14.

Guo, Xingsen, et al.. (2022). An improved evaluation method for the undrained shear strength of uniform soft clay in the nonfull flow state based on ball penetration simulations. Applied Ocean Research. 128. 103365–103365. 9 indexed citations

15.

Guo, Xingsen, et al.. (2020). Evaluation Methodology of Laminar-Turbulent Flow State for Fluidized Material with Special Reference to Submarine Landslide. Journal of Waterway Port Coastal and Ocean Engineering. 147(1). 29 indexed citations

16.

Fan, Ning, et al.. (2020). Piecewise strength model for three types of ultra-soft fine-grained soils. SOILS AND FOUNDATIONS. 60(4). 778–790. 10 indexed citations

17.

Zheng, Defeng, et al.. (2018). Investigation of the stability of submarine sensitive clay slopes underwave-induced pressure. Marine Georesources and Geotechnology. 37(1). 116–127. 13 indexed citations

18.

Nian, Tingkai, Luan Mao-tian, Qingshan Yang, & Jing-Cai Jiang. (2007). Stability analysis of slope reinforced with piles by using strength reduction FEM. Rock and Soil Mechanics. 28. 558–562. 5 indexed citations

19.

Wang, Dong, et al.. (2007). Three problems in slope stability analyses with finite element method. Rock and Soil Mechanics. 28(11). 2309–2313. 6 indexed citations

20.

Nian, Tingkai & Defeng Zheng. (2006). Application of A Simple Genetic Algorithm to the Stability of Slopes Subjected to Pore-Water Pressure. 3668–3671. 2 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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