Dongyang Yuan

709 total citations
25 papers, 559 citations indexed

About

Dongyang Yuan is a scholar working on Civil and Structural Engineering, Ecology and Management, Monitoring, Policy and Law. According to data from OpenAlex, Dongyang Yuan has authored 25 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 10 papers in Ecology and 9 papers in Management, Monitoring, Policy and Law. Recurrent topics in Dongyang Yuan's work include Dam Engineering and Safety (20 papers), Hydraulic flow and structures (13 papers) and Hydrology and Sediment Transport Processes (10 papers). Dongyang Yuan is often cited by papers focused on Dam Engineering and Safety (20 papers), Hydraulic flow and structures (13 papers) and Hydrology and Sediment Transport Processes (10 papers). Dongyang Yuan collaborates with scholars based in China, United States and Italy. Dongyang Yuan's co-authors include Bowen Wei, Huokun Li, Chongshi Gu, Xiangnan Qin, Siyang Yao, Bo Liu, Ying Mao, Liangjie Chen, Bin Xie and Jing He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Dongyang Yuan

22 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongyang Yuan China 12 514 210 138 99 48 25 559
Rafael Morán Moya Spain 8 568 1.1× 255 1.2× 99 0.7× 83 0.8× 40 0.8× 36 625
J. Mata Portugal 9 593 1.2× 215 1.0× 90 0.7× 72 0.7× 33 0.7× 15 662
Xiangnan Qin China 13 524 1.0× 151 0.7× 120 0.9× 92 0.9× 34 0.7× 33 590
Chaoning Lin China 13 509 1.0× 136 0.6× 125 0.9× 107 1.1× 76 1.6× 24 625
Hao Gu China 13 366 0.7× 93 0.4× 89 0.6× 82 0.8× 29 0.6× 51 423
Meng Yang China 12 458 0.9× 90 0.4× 114 0.8× 140 1.4× 26 0.5× 55 563
Dejan Divac Serbia 7 342 0.7× 130 0.6× 49 0.4× 44 0.4× 17 0.4× 17 411
Lifeng Wen China 10 305 0.6× 48 0.2× 117 0.8× 95 1.0× 36 0.8× 34 387
Zhanchao Li China 12 260 0.5× 56 0.3× 70 0.5× 48 0.5× 33 0.7× 32 383

Countries citing papers authored by Dongyang Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Dongyang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyang Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyang Yuan. A scholar is included among the top collaborators of Dongyang Yuan 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 Dongyang Yuan. Dongyang Yuan 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.
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
3.
Wang, Ying, et al.. (2025). An interpretable dynamic evaluation framework fusing multi-dimensional data for assessing the operational safety of concrete dams. Expert Systems with Applications. 299. 130225–130225.
4.
Yuan, Dongyang, et al.. (2025). Dam multi-source heterogeneous monitoring data fusion and synchronization method based on time series analysis. Engineering Structures. 338. 120623–120623.
5.
Yuan, Dongyang, et al.. (2025). Structural damage identification method of concrete dam based on multi-fidelity surrogate model collaboratively corrected by monitoring and simulation information. Advanced Engineering Informatics. 67. 103559–103559. 4 indexed citations
6.
Jiang, Chao, et al.. (2025). Concrete dam deformation prediction model considering the time delay of monitoring variables. Scientific Reports. 15(1). 8458–8458. 2 indexed citations
7.
Zhang, Wei, et al.. (2024). Review of Resilience Evaluation Methods in Operational Highway Tunnel. Journal of Advanced Transportation. 2024(1). 1 indexed citations
8.
Wei, Bowen, et al.. (2023). Optimized deformation monitoring models of concrete dam considering the uncertainty of upstream and downstream surface temperatures. Engineering Structures. 288. 115950–115950. 23 indexed citations
9.
Gu, Chongshi, et al.. (2023). Deep learning model for displacement monitoring of super high arch dams based on measured temperature data. Measurement. 222. 113579–113579. 20 indexed citations
10.
Wei, Bowen, et al.. (2023). Optimized combined forecasting model for hybrid signals in the displacement monitoring data of concrete dams. Structures. 48. 1989–2002. 5 indexed citations
11.
Qin, Xiangnan, Hao Gu, Dongyang Yuan, et al.. (2023). An Evaluation Method of Crack Variation on Structural Performance of Concrete Dams with Fusion Entropy Based on Observation and Simulation. Structural Control and Health Monitoring. 2023. 1–19. 6 indexed citations
12.
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
13.
Wang, Haozheng, et al.. (2022). Design of Fast Acquisition System and Analysis of Geometric Feature for Highway Tunnel Lining Cracks Based on Machine Vision. Applied Sciences. 12(5). 2516–2516. 6 indexed citations
14.
He, Qile, et al.. (2022). Multi-arch dam safety evaluation based on statistical analysis and numerical simulation. Scientific Reports. 12(1). 8913–8913. 15 indexed citations
15.
Yuan, Dongyang, Chongshi Gu, Bowen Wei, Xiangnan Qin, & Wenbo Xu. (2022). A high-performance displacement prediction model of concrete dams integrating signal processing and multiple machine learning techniques. Applied Mathematical Modelling. 112. 436–451. 34 indexed citations
16.
Yuan, Dongyang, et al.. (2022). Study on deformation characteristics of tunnels excavated in jointed rock masses through field testing and numerical methods. Arabian Journal of Geosciences. 15(9). 1 indexed citations
17.
Qin, Xiangnan, Chongshi Gu, Jinjun Guo, et al.. (2022). Load combination feedback of fracture in concrete dams based on monitoring data with simplified fuzzy association rules. Structures. 47. 2354–2364. 6 indexed citations
18.
Wei, Bowen, Bo Liu, Dongyang Yuan, Ying Mao, & Siyang Yao. (2020). Spatiotemporal hybrid model for concrete arch dam deformation monitoring considering chaotic effect of residual series. Engineering Structures. 228. 111488–111488. 84 indexed citations
19.
Yao, Siyang, Xinyu Li, Chenglin Liu, et al.. (2019). Quantitative Assessment of Impact of the Proposed Poyang Lake Hydraulic Project (China) on the Habitat Suitability of Migratory Birds. Water. 11(8). 1639–1639. 21 indexed citations
20.
Wei, Bowen, et al.. (2018). Modified hybrid forecast model considering chaotic residual errors for dam deformation. Structural Control and Health Monitoring. 25(8). e2188–e2188. 54 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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