Chongshi Gu

793 total citations
27 papers, 617 citations indexed

About

Chongshi Gu is a scholar working on Civil and Structural Engineering, Building and Construction and Management, Monitoring, Policy and Law. According to data from OpenAlex, Chongshi Gu has authored 27 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 7 papers in Building and Construction and 6 papers in Management, Monitoring, Policy and Law. Recurrent topics in Chongshi Gu's work include Dam Engineering and Safety (14 papers), Landslides and related hazards (6 papers) and Innovative concrete reinforcement materials (5 papers). Chongshi Gu is often cited by papers focused on Dam Engineering and Safety (14 papers), Landslides and related hazards (6 papers) and Innovative concrete reinforcement materials (5 papers). Chongshi Gu collaborates with scholars based in China and United States. Chongshi Gu's co-authors include Huaizhi Su, Victor C. Li, Qian Zhang, Hezhi Liu, Xiangnan Qin, Chenfei Shao, Luis E. Vallejo, Chengbin Du, Shouyan Jiang and Bo Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Cement and Concrete Composites.

In The Last Decade

Chongshi Gu

23 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chongshi Gu China	10	570	235	85	71	53	27	617
Mohammad Mohsen Toufigh Iran	14	591 1.0×	186 0.8×	66 0.8×	70 1.0×	58 1.1×	39	664
Zheng Si China	14	467 0.8×	221 0.9×	27 0.3×	61 0.9×	76 1.4×	30	559
Deluan Feng China	12	373 0.7×	167 0.7×	123 1.4×	46 0.6×	73 1.4×	39	459
Yasser Alashker Saudi Arabia	14	584 1.0×	267 1.1×	67 0.8×	24 0.3×	190 3.6×	37	702
Masoud Soltani Iran	16	642 1.1×	364 1.5×	21 0.2×	75 1.1×	54 1.0×	66	759
Mohammad Yekrangnia Iran	18	695 1.2×	414 1.8×	23 0.3×	46 0.6×	25 0.5×	57	801
Wenyue Qi China	14	303 0.5×	113 0.5×	24 0.3×	171 2.4×	61 1.2×	38	422
Jingpei Li China	17	800 1.4×	75 0.3×	50 0.6×	73 1.0×	92 1.7×	42	846
Richard Malm Sweden	12	477 0.8×	141 0.6×	12 0.1×	89 1.3×	20 0.4×	56	534
Son Hoang Trinh Vietnam	8	478 0.8×	199 0.8×	18 0.2×	23 0.3×	39 0.7×	11	560

Countries citing papers authored by Chongshi Gu

Since Specialization

Citations

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

Fields of papers citing papers by Chongshi Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongshi Gu

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

All Works

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20 of 20 papers shown

Gu, Hao, et al.. (2025). A multi-point dam deformation prediction model based on spatiotemporal graph convolutional network. Engineering Applications of Artificial Intelligence. 149. 110483–110483. 6 indexed citations

Gu, Hao, et al.. (2025). Interpretable interval prediction of dam displacement based on variational autoencoder and improved temporal fusion transformer considering solar radiation effects. Engineering Applications of Artificial Intelligence. 162. 112520–112520.

Pan, Quan, Yan He, & Chongshi Gu. (2025). A Concrete Dam Deformation Prediction Method Based on Mode Decomposition and Self-Attention-Gated Recurrent Unit. Buildings. 15(20). 3676–3676.

Liu, Peng, et al.. (2025). A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM. Buildings. 15(3). 357–357.

Xu, Bo, Hu Zhang, Chongshi Gu, Zeyuan Chen, & Hao Gu. (2025). Multi-target prediction and dynamic interpretation method for displacement of arch dam with cracks based on A-DSRSN and SHAP. Advanced Engineering Informatics. 66. 103467–103467. 2 indexed citations

Li, Jun, et al.. (2024). Characterization Model Research on Deformation of Arch Dam Based on Correlation Analysis Using Monitoring Data. Mathematics. 12(19). 3110–3110. 1 indexed citations

Wang, Yanbo, et al.. (2024). Analysis of concrete damage evolution in cold regions under combined freeze-thaw cycle-crack effect. Construction and Building Materials. 456. 139296–139296. 10 indexed citations

Chen, Xudong, Xiangqian Fan, Jinjun Guo, et al.. (2024). Prediction of arch dam deformation considering the coupling impact of external environmental changes and structural characteristics. Structures. 71. 108056–108056. 2 indexed citations

Qin, Xiangnan, et al.. (2020). Numerical analysis of fracturing behavior in fully-graded concrete with oversized aggregates from mesoscopic perspective. Construction and Building Materials. 253. 119184–119184. 31 indexed citations

10.

Gu, Chongshi, et al.. (2019). Inversion Modeling of Dam‐Zoning Elasticity Modulus for Heightened Concrete Dam Using ICS‐IPSO Algorithm. Mathematical Problems in Engineering. 2019(1). 10 indexed citations

11.

Zhong-ru, WU, et al.. (2019). Calculation Methods for the Permeability Coefficient of Concrete Face Rockfill Dam with Cracks. Advances in Civil Engineering. 2019(1). 7 indexed citations

12.

Gu, Chongshi, et al.. (2018). Risk Analysis of Earth-Rock Dam Failures Based on Fuzzy Event Tree Method. International Journal of Environmental Research and Public Health. 15(5). 886–886. 33 indexed citations

13.

Liu, Hezhi, Qian Zhang, Chongshi Gu, Huaizhi Su, & Victor C. Li. (2017). Influence of microcrack self-healing behavior on the permeability of Engineered Cementitious Composites. Cement and Concrete Composites. 82. 14–22. 88 indexed citations

14.

Liu, Hezhi, Qian Zhang, Chongshi Gu, Huaizhi Su, & Victor C. Li. (2016). Influence of micro-cracking on the permeability of engineered cementitious composites. Cement and Concrete Composites. 72. 104–113. 142 indexed citations

15.

Gu, Chongshi, et al.. (2013). Fluid-solid coupling model based on endochronic damage for roller compacted concrete dam. Journal of Central South University. 20(11). 3247–3255. 9 indexed citations

16.

Gu, Chongshi, et al.. (2011). Ill-conditioned problems of dam safety monitoring models and their processing methods. Science in China. Series E, Technological sciences. 54(12). 3275–3280. 11 indexed citations

17.

Gu, Chongshi. (2009). Reckoning Equivalent Deformation Parameters of RCCD Construction Interfaces. Water Resources and Power.

18.

Gu, Chongshi. (2008). Research on Development of Immersed Tunnel Engineering at Home and Abroad. Water Resources and Power. 2 indexed citations

19.

Gu, Chongshi, et al.. (2008). Safety evaluation system for hydraulic metal structures based on knowledge engineering. SHILAP Revista de lepidopterología. 1 indexed citations

20.

Gu, Chongshi, et al.. (2007). Analytic model of deformation of construction interfaces of rolled control concrete dam. Applied Mathematics and Mechanics. 28(1). 79–86. 5 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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