Yangtao Li

1.5k total citations
49 papers, 1.1k citations indexed

About

Yangtao Li is a scholar working on Civil and Structural Engineering, Fluid Flow and Transfer Processes and Ecology. According to data from OpenAlex, Yangtao Li has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Civil and Structural Engineering, 10 papers in Fluid Flow and Transfer Processes and 9 papers in Ecology. Recurrent topics in Yangtao Li's work include Dam Engineering and Safety (26 papers), Infrastructure Maintenance and Monitoring (14 papers) and Advanced Combustion Engine Technologies (10 papers). Yangtao Li is often cited by papers focused on Dam Engineering and Safety (26 papers), Infrastructure Maintenance and Monitoring (14 papers) and Advanced Combustion Engine Technologies (10 papers). Yangtao Li collaborates with scholars based in China, Canada and Australia. Yangtao Li's co-authors include Xiaosong Shu, Kang Zhang, Tengfei Bao, Jing Yang, Ruijie Wang, Tengfei Bao, Yuhang Zhou, Zexun Chen, Banglin Deng and Renhua Feng and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Yangtao Li

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangtao Li China 21 689 192 179 143 134 49 1.1k
Lei Fan China 19 149 0.2× 11 0.1× 123 0.7× 57 0.4× 37 0.3× 76 1.1k
Jinsheng Wang China 21 294 0.4× 12 0.1× 429 2.4× 34 0.2× 226 1.7× 96 1.3k
Yiming Xu China 21 156 0.2× 343 1.8× 124 0.7× 31 0.2× 71 0.5× 73 1.4k
Haochen Wang China 17 428 0.6× 9 0.0× 107 0.6× 12 0.1× 127 0.9× 61 1.2k
Min-Wook Kang United States 12 212 0.3× 11 0.1× 97 0.5× 37 0.3× 22 0.2× 51 644
He Li China 18 150 0.2× 8 0.0× 374 2.1× 55 0.4× 94 0.7× 105 870
Andrea Coraddu Netherlands 22 114 0.2× 98 0.5× 234 1.3× 9 0.1× 51 0.4× 106 1.7k
Mojtaba Tahani Iran 22 209 0.3× 43 0.2× 629 3.5× 5 0.0× 126 0.9× 71 1.8k
Francesco Adamo Italy 19 86 0.1× 8 0.0× 69 0.4× 46 0.3× 205 1.5× 72 1.2k
Dracos Vassalos United Kingdom 21 138 0.2× 74 0.4× 618 3.5× 6 0.0× 35 0.3× 192 2.0k

Countries citing papers authored by Yangtao Li

Since Specialization
Citations

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

Fields of papers citing papers by Yangtao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangtao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yangtao Li. A scholar is included among the top collaborators of Yangtao 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 Yangtao Li. Yangtao 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.
Yang, Wenkun, Zuyu Chen, Haitao Zhao, et al.. (2025). EKTFD: Precise-guided empirical knowledge and time-frequency domain data joint-driven machine learning method for rock mass intelligent perception. Tunnelling and Underground Space Technology. 169. 107303–107303.
3.
Wang, He, et al.. (2025). A three-stage identification and quantification for underwater cracks in dams using hybrid feature learning. Engineering Structures. 339. 120625–120625. 1 indexed citations
4.
Bao, Tengfei, et al.. (2025). GANFormerNet: A UAV-based Concrete Crack Segmentation Model for Water-related Structures Using Vision Transformer and Graph Attention Network. Advanced Engineering Informatics. 68. 103725–103725. 2 indexed citations
5.
Bao, Tengfei, et al.. (2025). A framework for automatic Real-Time Pixel-Level segmentation of underwater dam concrete cracks utilizing the CRTransU-Net model. Advanced Engineering Informatics. 66. 103415–103415. 4 indexed citations
6.
Li, Tianyu, et al.. (2025). Experimental study on acoustic emission characteristics and damage-failure process of seawater sea-sand ultra-high-performance concrete under uniaxial compression. Case Studies in Construction Materials. 22. e04260–e04260. 1 indexed citations
8.
Chen, Zeyuan, et al.. (2024). Displacement Interval Prediction Method for Arch Dam with Cracks: Integrated STL, MF-DFA and Bootstrap. Water. 16(19). 2755–2755. 5 indexed citations
10.
Li, Yangtao, Haitao Zhao, Yang Wei, et al.. (2024). Vision-guided crack identification and size quantification framework for dam underwater concrete structures. Structural Health Monitoring. 24(4). 2125–2148. 12 indexed citations
11.
Zhou, Yuhang, Tengfei Bao, Guoli Li, Xiaosong Shu, & Yangtao Li. (2023). Multi-expert attention network for long-term dam displacement prediction. Advanced Engineering Informatics. 57. 102060–102060. 23 indexed citations
13.
Li, Yangtao & Tengfei Bao. (2023). A real-time multi-defect automatic identification framework for concrete dams via improved YOLOv5 and knowledge distillation. Journal of Civil Structural Health Monitoring. 13(6-7). 1333–1349. 21 indexed citations
14.
Zhu, Yantao, et al.. (2023). A Coupled Model for Dam Foundation Seepage Behavior Monitoring and Forecasting Based on Variational Mode Decomposition and Improved Temporal Convolutional Network. Structural Control and Health Monitoring. 2023. 1–17. 22 indexed citations
15.
Bao, Tengfei, et al.. (2023). BIM-based framework of automatic tunnel segment assembly and deviation control. Underground Space. 16. 59–78. 4 indexed citations
16.
Li, Yangtao, Tengfei Bao, Ruijie Wang, et al.. (2022). An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning. Structural Health Monitoring. 22(4). 2360–2383. 17 indexed citations
17.
Shu, Xiaosong, Tengfei Bao, Yuhan Hu, Yangtao Li, & Kang Zhang. (2021). Camera calibration method using synthetic speckle pattern with an improved gray wolf optimizer algorithm. Applied Optics. 60(34). 10477–10477. 3 indexed citations
18.
Li, Yangtao, et al.. (2021). A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques. Structural Health Monitoring. 21(3). 770–787. 89 indexed citations
19.
Li, Yangtao, et al.. (2020). The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural Network. IEEE Access. 8. 94440–94452. 85 indexed citations
20.
Shu, Xiaosong, et al.. (2020). Dam Safety Evaluation Based on Interval-Valued Intuitionistic Fuzzy Sets and Evidence Theory. Sensors. 20(9). 2648–2648. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026