Mingnian Wang

3.0k total citations
151 papers, 2.2k citations indexed

About

Mingnian Wang is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Mingnian Wang has authored 151 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Safety, Risk, Reliability and Quality, 76 papers in Civil and Structural Engineering and 40 papers in Mechanics of Materials. Recurrent topics in Mingnian Wang's work include Geotechnical Engineering and Analysis (43 papers), Geotechnical Engineering and Underground Structures (42 papers) and Rock Mechanics and Modeling (28 papers). Mingnian Wang is often cited by papers focused on Geotechnical Engineering and Analysis (43 papers), Geotechnical Engineering and Underground Structures (42 papers) and Rock Mechanics and Modeling (28 papers). Mingnian Wang collaborates with scholars based in China, United Kingdom and United States. Mingnian Wang's co-authors include Li Yu, Dagang Liu, Jianjun Tong, Yunpeng Hu, Guanfeng Yan, Xu Wang, Qilin Wang, Chun Guo, Lu Yang and Jianfeng Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Mingnian Wang

143 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingnian Wang China 30 1.2k 1.0k 567 418 333 151 2.2k
Junling Qiu China 32 1.4k 1.2× 1.9k 1.9× 244 0.4× 485 1.2× 161 0.5× 70 2.7k
Hangseok Choi South Korea 28 629 0.5× 1.7k 1.7× 345 0.6× 284 0.7× 357 1.1× 169 2.8k
Shaoshuai Shi China 31 1.3k 1.1× 1.4k 1.3× 381 0.7× 1.4k 3.4× 175 0.5× 112 2.7k
Jinxing Lai China 37 2.0k 1.7× 3.0k 2.9× 345 0.6× 908 2.2× 214 0.6× 127 4.0k
Neil Dixon United Kingdom 33 453 0.4× 1.5k 1.4× 470 0.8× 525 1.3× 192 0.6× 124 2.8k
Huai-Na Wu China 38 3.4k 3.0× 4.8k 4.7× 443 0.8× 714 1.7× 328 1.0× 102 5.5k
Lizhong Wang China 36 374 0.3× 2.3k 2.3× 605 1.1× 551 1.3× 148 0.4× 164 3.5k
Mingliang Zhou China 24 389 0.3× 1.0k 1.0× 264 0.5× 484 1.2× 194 0.6× 82 1.7k
Kenneth Gavin Ireland 40 804 0.7× 3.8k 3.7× 206 0.4× 270 0.6× 143 0.4× 170 4.5k
Junrui Chai China 28 450 0.4× 1.7k 1.7× 244 0.4× 506 1.2× 457 1.4× 161 2.6k

Countries citing papers authored by Mingnian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingnian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingnian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingnian Wang. A scholar is included among the top collaborators of Mingnian Wang 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 Mingnian Wang. Mingnian Wang 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.
Chen, Jianxun, Yao Li, Jiading Wang, et al.. (2025). A state-of-the-art review on loess tunnels. Journal of Traffic and Transportation Engineering (English Edition). 12(6). 1533–1632.
2.
Wang, Mingnian, et al.. (2025). Predictive model for assessing the nonlinear surface displacement and mechanical response of shallowly buried tunnels under dip-slip fault dislocation. Soil Dynamics and Earthquake Engineering. 191. 109229–109229. 3 indexed citations
3.
Lin, Peng, et al.. (2025). Characterization of groundwater and prediction of water temperature for tunnel face based on IR-YOLO and IR-LSTM. Tunnelling and Underground Space Technology. 167. 107040–107040.
4.
Wang, Mingnian, et al.. (2025). Rockburst prediction based on 3D spatial feature system of tunnel face drilling parameters. Tunnelling and Underground Space Technology. 159. 106350–106350. 2 indexed citations
5.
Zhang, Xiaoxin, et al.. (2024). Mechanical response of tunnels crossing active fault zones under normal or reverse faulting: A refined nonlinear analytical approximate solution. Computers and Geotechnics. 167. 106028–106028. 18 indexed citations
6.
Lin, Peng, et al.. (2024). A new method to automatically identify and characterize rock mass discontinuities using a smartphone: Experiences from a slope and a tunnel. Tunnelling and Underground Space Technology. 152. 105922–105922. 3 indexed citations
7.
Wang, Mingnian, et al.. (2024). Detection of rock joints and opening degrees based on drilling parameters and moving average filter. Journal of Rock Mechanics and Geotechnical Engineering. 17(10). 6130–6144. 1 indexed citations
8.
Wang, Mingnian, et al.. (2024). MPM analysis for the stability mode and failure characteristics of tunnel face considering unsupported length. Computers and Geotechnics. 172. 106417–106417. 5 indexed citations
9.
Wang, Mingnian, et al.. (2024). A refined nonlinear theoretical model for mechanical analysis of tunnels subjected to strike-slip faulting with multiple fault planes. Journal of Rock Mechanics and Geotechnical Engineering. 17(8). 5018–5037. 2 indexed citations
10.
Chen, Xin, et al.. (2024). Experimental study on the smoke diffusion length affected by canyon winds in the open section of railway tunnel groups. International Journal of Thermal Sciences. 200. 108957–108957. 2 indexed citations
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12.
Wang, Mingnian, et al.. (2024). The corrosion expansion force and cracking separation between corroded section steel arch frame and shotcrete in tunnel primary support. Engineering Failure Analysis. 166. 108907–108907. 1 indexed citations
13.
Wang, Mingnian, et al.. (2024). Study on Elastic-Plastic Analysis of Deep Buried High Geostress Soft Rock Tunnel Using Numerical Procedure. KSCE Journal of Civil Engineering. 28(9). 4041–4054. 1 indexed citations
14.
Lin, Peng, et al.. (2024). A new method for recognizing discontinuities from 3D point clouds in tunnel construction environments. Tunnelling and Underground Space Technology. 152. 105955–105955. 7 indexed citations
15.
Wang, Mingnian, et al.. (2024). Analytical and numerical analysis on the mechanical response and damage characteristics of tunnels subjected to multiple normal faulting. Computers and Geotechnics. 169. 106254–106254. 10 indexed citations
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18.
Guo, Xiaohan, et al.. (2023). Heat release rate prediction for high-altitude gasoline pool fires based on field tests of combustion characteristics. International Journal of Thermal Sciences. 197. 108785–108785. 5 indexed citations
19.
Yu, Li, et al.. (2023). A simplified analytical method for the tunnels’ mechanical behaviour under the action of active fault zones. Computers and Geotechnics. 164. 105789–105789. 22 indexed citations
20.
Zhang, Xiaoxin, et al.. (2023). A mechanical analysis model for tunnels under strike-slip faulting considering the fault zone width and nonlinear tunnel-stratum interaction. Transportation Geotechnics. 44. 101171–101171. 15 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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2026