Tongming Qu

1.5k total citations
66 papers, 1.0k citations indexed

About

Tongming Qu is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tongming Qu has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Civil and Structural Engineering, 20 papers in Mechanics of Materials and 18 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tongming Qu's work include Tunneling and Rock Mechanics (25 papers), Geotechnical Engineering and Analysis (18 papers) and Rock Mechanics and Modeling (17 papers). Tongming Qu is often cited by papers focused on Tunneling and Rock Mechanics (25 papers), Geotechnical Engineering and Analysis (18 papers) and Rock Mechanics and Modeling (17 papers). Tongming Qu collaborates with scholars based in China, Hong Kong and United Kingdom. Tongming Qu's co-authors include Y.T. Feng, Min Wang, Shuying Wang, Tingting Zhao, Jidong Zhao, Yong Wang, Jinyang Fu, D. R. J. Owen, Shengqiang Jiang and Haibo Wang and has published in prestigious journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Tongming Qu

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongming Qu China 21 628 309 266 206 201 66 1.0k
Yinghui Tian Australia 23 2.0k 3.2× 228 0.7× 251 0.9× 163 0.8× 178 0.9× 160 2.3k
Tongchun Li China 16 484 0.8× 186 0.6× 199 0.7× 190 0.9× 33 0.2× 103 855
Zhengshou Lai China 17 372 0.6× 216 0.7× 251 0.9× 144 0.7× 89 0.4× 38 718
J. Kozicki Poland 18 741 1.2× 515 1.7× 447 1.7× 375 1.8× 134 0.7× 37 1.3k
Jinhyun Choo United States 23 609 1.0× 970 3.1× 497 1.9× 187 0.9× 272 1.4× 53 1.6k
Stefano Dal Pont France 20 727 1.2× 375 1.2× 122 0.5× 51 0.2× 116 0.6× 60 1.1k
Zhanqing Chen China 15 374 0.6× 478 1.5× 91 0.3× 116 0.6× 116 0.6× 47 762
Frank Wuttke Germany 19 676 1.1× 289 0.9× 52 0.2× 108 0.5× 144 0.7× 99 1.1k
Dorival M. Pedroso Australia 21 656 1.0× 357 1.2× 472 1.8× 318 1.5× 100 0.5× 54 1.2k

Countries citing papers authored by Tongming Qu

Since Specialization
Citations

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

Fields of papers citing papers by Tongming Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongming Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Tongming Qu. A scholar is included among the top collaborators of Tongming Qu 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 Tongming Qu. Tongming Qu 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.
Wang, Chunxiao, et al.. (2025). Salmon Consumption Behavior Prediction Based on Bayesian Optimization and Explainable Artificial Intelligence. Foods. 14(3). 429–429. 2 indexed citations
2.
Zhang, Dongliang, et al.. (2025). A knowledge graph-enhanced large language model for question answering of hydraulic structure safety management. Advanced Engineering Informatics. 66. 103468–103468. 1 indexed citations
3.
Li, Chao, Shuying Wang, Tongming Qu, Xiangcou Zheng, & Xuemin Zhang. (2025). Overcoming time delays challenges: Decomposition–Reconstruction approaches for time-series TBM performance predictions. Expert Systems with Applications. 283. 127739–127739. 2 indexed citations
4.
Wang, Shuying, et al.. (2025). Development of a novel external load-controlled permeameter for sand-foam mixtures. Tunnelling and Underground Space Technology. 164. 106767–106767.
5.
Wang, Shuying, et al.. (2025). A strength-based clogging risk assessment strategy for mechanized tunneling. Bulletin of Engineering Geology and the Environment. 84(4). 1 indexed citations
6.
7.
Ou, Xuefeng, Ye Zhou, Yong Kong, et al.. (2025). Predicting floor heave risk in road tunnels with machine learning. Journal of Rock Mechanics and Geotechnical Engineering. 17(10). 6428–6438.
8.
Wang, Shuying, et al.. (2025). Knowledge-assisted deep transfer learning for muck clogging identification during mechanized shield tunneling. Tunnelling and Underground Space Technology. 168. 107124–107124.
9.
Qu, Tongming, Jidong Zhao, & Y.T. Feng. (2025). Artificial intelligence for computational granular media. Computers and Geotechnics. 185. 107310–107310. 5 indexed citations
10.
Ou, Xuefeng, et al.. (2025). Uncertainty-informed large vision model for automated recognition of excavated rock chips in tunnel boring machines. Journal of Rock Mechanics and Geotechnical Engineering.
11.
Wang, Shuying, et al.. (2024). Learning the hard-to-learn: Active learning for imbalanced datasets in data-centric tunnel engineering. Computers and Geotechnics. 174. 106629–106629. 4 indexed citations
12.
Xia, Ming, et al.. (2024). An MPI parallel DEM-IMB-LBM framework for simulating fluid-solid interaction problems. Journal of Rock Mechanics and Geotechnical Engineering. 16(6). 2219–2231. 5 indexed citations
13.
Wang, Fuming, et al.. (2024). The role of polyurethane foam compressible layer in the mechanical behaviour of multi-layer yielding supports for deep soft rock tunnels. Journal of Rock Mechanics and Geotechnical Engineering. 16(11). 4554–4569. 6 indexed citations
14.
Wang, Shuying, et al.. (2024). Effect of water pressure on time-dependent permeability characteristics of sand conditioned with foam and bentonite slurry. Canadian Geotechnical Journal. 62. 1–14. 1 indexed citations
15.
Wang, Shuying, et al.. (2024). CFD-DEM modeling of seepage in foam-conditioned soil. Computers and Geotechnics. 177. 106818–106818. 11 indexed citations
16.
Huang, Shuo, et al.. (2024). Torque curve bifurcation in T-shaped rotor continuously drilling into granular media. Powder Technology. 444. 119947–119947.
17.
Kumar, Krishna, et al.. (2024). Machine Learning Aided Modeling of Granular Materials: A Review. Archives of Computational Methods in Engineering. 32(4). 1997–2034. 7 indexed citations
18.
Xia, Ming, He Liu, Longjun Dong, Tongming Qu, & Y.T. Feng. (2024). An efficient dense discs packing method in complex domains for DEM simulations. Computers and Geotechnics. 178. 106947–106947.
19.
Wang, Shuying, et al.. (2023). Effect of Gradation on Undrained Compressibility of Foam-Conditioned Coarse-Grained Soils. International Journal of Geomechanics. 23(7). 3 indexed citations
20.
Qu, Tongming, Y.T. Feng, & Jidong Zhao. (2022). A strain energy-based elastic parameter calibration method for lattice/bonded particle modelling of solid materials. Powder Technology. 410. 117860–117860. 9 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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