Chongshi Gu

3.2k total citations
141 papers, 2.5k citations indexed

About

Chongshi Gu is a scholar working on Civil and Structural Engineering, Ecology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Chongshi Gu has authored 141 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Civil and Structural Engineering, 37 papers in Ecology and 31 papers in Management, Monitoring, Policy and Law. Recurrent topics in Chongshi Gu's work include Dam Engineering and Safety (112 papers), Hydraulic flow and structures (48 papers) and Landslides and related hazards (31 papers). Chongshi Gu is often cited by papers focused on Dam Engineering and Safety (112 papers), Hydraulic flow and structures (48 papers) and Landslides and related hazards (31 papers). Chongshi Gu collaborates with scholars based in China, United States and Switzerland. Chongshi Gu's co-authors include Huaizhi Su, Xiangnan Qin, Bo Dai, Chenfei Shao, Siyu Chen, Chaoning Lin, Yantao Zhu, Shaowei Wang, Kang Zhang and WU Zhong-ru and has published in prestigious journals such as PLoS ONE, Scientific Reports and Construction and Building Materials.

In The Last Decade

Chongshi Gu

136 papers receiving 2.5k 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	27	2.2k	652	466	443	262	141	2.5k
Zhiping Wen China	24	1.5k 0.6×	383 0.6×	315 0.7×	308 0.7×	228 0.9×	88	1.8k
Kenneth Gavin Ireland	40	3.8k 1.7×	510 0.8×	446 1.0×	804 1.8×	270 1.0×	170	4.5k
Mohammad Amin Hariri‐Ardebili United States	31	2.7k 1.2×	151 0.2×	258 0.6×	434 1.0×	235 0.9×	146	3.2k
Qiubing Ren China	21	927 0.4×	230 0.4×	175 0.4×	135 0.3×	128 0.5×	57	1.3k
Yange Li China	21	616 0.3×	142 0.2×	945 2.0×	398 0.9×	199 0.8×	81	1.5k
Ali Noorzad Iran	27	1.6k 0.7×	68 0.1×	211 0.5×	415 0.9×	251 1.0×	125	2.0k
Yongqin Li China	14	1.0k 0.5×	42 0.1×	284 0.6×	595 1.3×	240 0.9×	27	1.7k
Kang Zhang China	19	729 0.3×	171 0.3×	141 0.3×	103 0.2×	73 0.3×	31	942
Mark B. Jaksa Australia	29	2.7k 1.2×	45 0.1×	502 1.1×	1.6k 3.5×	302 1.2×	138	3.4k

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

Zhu, Yantao, et al.. (2024). A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model. Water Science and Engineering. 17(4). 417–424. 3 indexed citations

Li, Xin, et al.. (2024). Health diagnosis of ultrahigh arch dam performance using heterogeneous spatial panel vector model. Water Science and Engineering. 17(2). 177–186. 3 indexed citations

Wang, Shaowei, et al.. (2024). Displacement observation data-based structural health monitoring of concrete dams: A state-of-art review. Structures. 68. 107072–107072. 18 indexed citations

Chen, Xudong, Wenhao Sun, Xiangqian Fan, et al.. (2024). Considering integrated information on environmental features and neighborhood deformation: A missing value filling framework for arch dam deformation sequence. Advanced Engineering Informatics. 63. 102959–102959. 7 indexed citations

Chen, Xudong, et al.. (2023). A feature decomposition-based deep transfer learning framework for concrete dam deformation prediction with observational insufficiency. Advanced Engineering Informatics. 58. 102175–102175. 23 indexed citations

Yuan, Dongyang, Chongshi Gu, Bowen Wei, Xiangnan Qin, & Hao Gu. (2022). Displacement behavior interpretation and prediction model of concrete gravity dams located in cold area. Structural Health Monitoring. 22(4). 2384–2401. 29 indexed citations

Gu, Chongshi, et al.. (2022). Prediction for the Settlement of Concrete Face Rockfill Dams Using Optimized LSTM Model via Correlated Monitoring Data. Water. 14(14). 2157–2157. 16 indexed citations

Gu, Chongshi, et al.. (2022). A Combined Safety Monitoring Model for High Concrete Dams. Applied Sciences. 12(23). 12103–12103. 11 indexed citations

Gu, Chongshi, et al.. (2021). Micromechanical modelling of the anisotropic creep behaviour of granular medium as a fourth-order fabric tensor. Advances in Mechanical Engineering. 13(7). 1 indexed citations

10.

Gu, Chongshi, et al.. (2021). Processing Method of Missing Data in Dam Safety Monitoring. Mathematical Problems in Engineering. 2021. 1–12. 11 indexed citations

11.

Zhu, Yantao, Xinqiang Niu, Jimin Wang, et al.. (2020). A Risk Assessment Model for Dam Combining the Probabilistic and the Nonprobabilistic Methods. Mathematical Problems in Engineering. 2020. 1–12. 8 indexed citations

12.

Gu, Chongshi, et al.. (2020). Improve the Model Stability of Dam’s Displacement Prediction Using a Numerical-Statistical Combined Model. IEEE Access. 8. 147482–147493. 9 indexed citations

13.

Gu, Chongshi, et al.. (2020). An Approach Using Adaptive Weighted Least Squares Support Vector Machines Coupled with Modified Ant Lion Optimizer for Dam Deformation Prediction. Mathematical Problems in Engineering. 2020. 1–23. 14 indexed citations

14.

Gu, Chongshi, et al.. (2020). A Novel Seepage Safety Monitoring Model of CFRD with Slab Cracks Using Monitoring Data. Mathematical Problems in Engineering. 2020. 1–13. 13 indexed citations

15.

Li, Junjie, et al.. (2019). Seepage Comprehensive Evaluation of Concrete Dam Based on Grey Cluster Analysis. Water. 11(7). 1499–1499. 10 indexed citations

16.

Chen, Bo, et al.. (2019). Zoning Elastic Modulus Inversion for High Arch Dams Based on the PSOGSA‐SVM Method. Advances in Civil Engineering. 2019(1). 15 indexed citations

17.

Gu, Chongshi, et al.. (2015). Dam's risk identification under interval-valued intuitionistic fuzzy environment. Civil Engineering and Environmental Systems. 32(4). 351–363. 7 indexed citations

18.

Gu, Chongshi, et al.. (2013). Study on Semi-Parametric Statistical Model of Safety Monitoring of Cracks in Concrete Dams. Mathematical Problems in Engineering. 2013. 1–9. 11 indexed citations

19.

Gu, Chongshi. (2010). Parameter Inversion Analysis of Shuikou Gravity Dam Body Based on Improved Particle Swarm Optimization Algorithm. Water Resources and Power. 1 indexed citations

20.

Gu, Chongshi. (2003). Inverse analysis for mechanical parameters based on genetic algorithm. Journal of Yangtze River Scientific Research Institute. 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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