Chuanqi Li

3.7k total citations · 3 hit papers
124 papers, 2.8k citations indexed

About

Chuanqi Li is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Chuanqi Li has authored 124 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Civil and Structural Engineering, 34 papers in Mechanics of Materials and 24 papers in Mechanical Engineering. Recurrent topics in Chuanqi Li's work include Rock Mechanics and Modeling (32 papers), Tunneling and Rock Mechanics (26 papers) and Geotechnical Engineering and Analysis (20 papers). Chuanqi Li is often cited by papers focused on Rock Mechanics and Modeling (32 papers), Tunneling and Rock Mechanics (26 papers) and Geotechnical Engineering and Analysis (20 papers). Chuanqi Li collaborates with scholars based in China, France and Australia. Chuanqi Li's co-authors include Jian Zhou, Danial Jahed Armaghani, Yingui Qiu, Manoj Khandelwal, Shuangli Zhu, Peixi Yang, Daniel Dias, Haitao Yang, Kun Du and Saffet Yağız and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Chuanqi Li

112 papers receiving 2.7k citations

Hit Papers

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost... 2020 2026 2022 2024 2021 2020 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanqi Li China 27 1.3k 945 688 511 471 124 2.8k
Yingui Qiu China 25 1.3k 1.0× 887 0.9× 664 1.0× 580 1.1× 475 1.0× 38 2.4k
Hong Li China 32 964 0.7× 1.1k 1.2× 759 1.1× 501 1.0× 302 0.6× 265 3.6k
Jianxun Chen China 33 1.5k 1.2× 753 0.8× 463 0.7× 244 0.5× 1.0k 2.2× 137 3.2k
Xuan-Nam Bui Vietnam 40 1.8k 1.4× 1.5k 1.6× 1.4k 2.1× 513 1.0× 887 1.9× 105 4.4k
Xiaojun Li China 27 1.4k 1.0× 468 0.5× 331 0.5× 274 0.5× 695 1.5× 189 2.7k
Haiqing Yang China 39 1.8k 1.4× 1.7k 1.8× 863 1.3× 884 1.7× 448 1.0× 224 4.4k
Mohsen Hajihassani Iran 30 2.4k 1.9× 1.6k 1.6× 1.0k 1.5× 695 1.4× 1.1k 2.4× 66 3.7k
Dániel Straub Germany 42 3.3k 2.5× 949 1.0× 849 1.2× 295 0.6× 1.4k 3.1× 231 6.1k
Gang Wang China 46 3.3k 2.5× 1.5k 1.6× 658 1.0× 427 0.8× 753 1.6× 341 6.1k
Mohammadreza Koopialipoor Iran 42 2.8k 2.2× 1.5k 1.6× 1.1k 1.6× 915 1.8× 851 1.8× 60 4.0k

Countries citing papers authored by Chuanqi Li

Since Specialization
Citations

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

Fields of papers citing papers by Chuanqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanqi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanqi Li. A scholar is included among the top collaborators of Chuanqi Li 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 Chuanqi Li. Chuanqi Li 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.
Shi, Yongyong, et al.. (2025). Advanced Machine Learning and Gene Expression Programming Techniques for Predicting CO<sub>2</sub>-Induced Alterations in Coal Strength. Computer Modeling in Engineering & Sciences. 143(1). 153–183. 1 indexed citations
2.
Yang, Chaolong, Feiting Shi, Wenzheng Liu, et al.. (2025). Multiaxial Fatigue Life Assessment of Large Welded Flange Shafts: A Continuum Damage Mechanics Approach. Materials. 18(24). 5528–5528.
3.
Li, Chuanqi & Jian Zhou. (2024). Prediction and optimization of adverse responses for a highway tunnel after blasting excavation using a novel hybrid multi-objective intelligent model. Transportation Geotechnics. 45. 101228–101228. 16 indexed citations
4.
Wu, Peisong, et al.. (2024). LS-VIT: Vision Transformer for action recognition based on long and short-term temporal difference. Frontiers in Neurorobotics. 18. 1457843–1457843.
5.
Li, Chuanqi, Jian Zhou, & Kun Du. (2024). Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting. Journal of Computational Science. 78. 102266–102266. 3 indexed citations
6.
Li, Chuanqi, et al.. (2024). Supervised intelligent prediction of shear strength of rockfill materials based on data driven and a case study. Transportation Geotechnics. 45. 101229–101229. 5 indexed citations
7.
Li, Chuanqi, Milad Zaheri, Masoud Ranjbarnia, & Daniel Dias. (2023). Calculating of the tunnel face deformations reinforced by longitudinal fiberglass dowels: From analytical method to artificial intelligence. Transportation Geotechnics. 43. 101152–101152. 15 indexed citations
8.
Qiu, Yingui, et al.. (2023). An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls. Journal of Building Engineering. 82. 108386–108386. 14 indexed citations
9.
Zhou, Jian, Peixi Yang, Chuanqi Li, & Kun Du. (2023). Hybrid random forest-based models for predicting shear strength of structural surfaces based on surface morphology parameters and metaheuristic algorithms. Construction and Building Materials. 409. 133911–133911. 14 indexed citations
10.
Li, Chuanqi, et al.. (2023). Compressive Strength Prediction of Rice Husk Ash Concrete Using a Hybrid Artificial Neural Network Model. Materials. 16(8). 3135–3135. 17 indexed citations
11.
Li, Chuanqi, et al.. (2023). Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material. Soil Dynamics and Earthquake Engineering. 173. 108085–108085. 10 indexed citations
12.
Zhou, Jian, et al.. (2023). Machine learning models to predict the tunnel wall convergence. Transportation Geotechnics. 41. 101022–101022. 42 indexed citations
13.
Zhang, Jinrui, et al.. (2023). Application of Back-Propagation Neural Network in the Post-Blast Re-Entry Time Prediction. SHILAP Revista de lepidopterología. 3(2). 128–148. 4 indexed citations
15.
Tao, Z., et al.. (2023). Feature Fusion for Dual-Stream Cooperative Action Recognition. IEEE Access. 11. 116732–116740. 1 indexed citations
16.
Li, Chuanqi & Yan Yin. (2020). Suitability survey on N95 filter masks for public health emergency personnel. 32. 1 indexed citations
17.
Li, Chuanqi, et al.. (2015). Electromagnetically induced transparency in nano-structures made from metallic nanorod and split-ring-resonator. Optics Communications. 355. 337–341. 7 indexed citations
18.
Li, Chuanqi. (2003). Application of Landscape Ecology in River Ecological Rehabilitation.
19.
Li, Chuanqi. (2002). Implementation of Add-in CAMs' Transplantability About CAD Platforms. JUSTC.
20.
Gan, Zhao & Chuanqi Li. (2001). A New Algorithm for Identification of Nested Loops and Ori-entation of Planar Closed Sequent Loop. Machine Design and Research. 1 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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