Jun Yu

2.9k total citations · 1 hit paper
87 papers, 2.3k citations indexed

About

Jun Yu is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Jun Yu has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Civil and Structural Engineering, 30 papers in Building and Construction and 30 papers in Materials Chemistry. Recurrent topics in Jun Yu's work include Structural Response to Dynamic Loads (48 papers), Structural Behavior of Reinforced Concrete (30 papers) and High-Velocity Impact and Material Behavior (26 papers). Jun Yu is often cited by papers focused on Structural Response to Dynamic Loads (48 papers), Structural Behavior of Reinforced Concrete (30 papers) and High-Velocity Impact and Material Behavior (26 papers). Jun Yu collaborates with scholars based in China, Singapore and United States. Jun Yu's co-authors include Kang Hai Tan, Lizhong Luo, Jun Wu, Anh Tuấn Phạm, Yi Li, Ying Zheng Liu, Liu Shi, Chaojun Jia, Rubin Wang and Hao Wu and has published in prestigious journals such as Journal of Hazardous Materials, Scientific Reports and Construction and Building Materials.

In The Last Decade

Jun Yu

80 papers receiving 2.2k citations

Hit Papers

Experimental and numerical investigation on progressive c... 2011 2026 2016 2021 2011 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
Jun Yu China 25 2.0k 1.1k 937 183 118 87 2.3k
Yifei Hao China 31 3.2k 1.6× 1.4k 1.2× 1.3k 1.4× 819 4.5× 71 0.6× 103 3.6k
Bibiana Luccioni Argentina 25 1.7k 0.9× 669 0.6× 696 0.7× 478 2.6× 23 0.2× 75 2.0k
Jinhua Zhang China 24 1.2k 0.6× 566 0.5× 253 0.3× 412 2.3× 52 0.4× 59 1.5k
L. J. Malvar United States 20 2.9k 1.4× 1.4k 1.3× 1.2k 1.3× 680 3.7× 23 0.2× 46 3.1k
Liu Jin China 40 4.4k 2.2× 2.4k 2.2× 809 0.9× 1.1k 6.0× 90 0.8× 216 4.8k
Peter H. Bischoff Canada 17 2.6k 1.3× 1.7k 1.5× 677 0.7× 573 3.1× 26 0.2× 48 2.8k
Rena C. Yu Spain 26 1.6k 0.8× 792 0.7× 295 0.3× 923 5.0× 43 0.4× 102 2.1k
Shangtong Yang United Kingdom 24 1.1k 0.5× 284 0.3× 481 0.5× 530 2.9× 32 0.3× 67 1.6k
Sinan T. Erdoğan Türkiye 21 1000 0.5× 410 0.4× 386 0.4× 143 0.8× 60 0.5× 36 1.3k

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yu. A scholar is included among the top collaborators of Jun Yu 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 Jun Yu. Jun Yu 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.
Liu, Xiaokang, Jun Yu, Yutong Dai, et al.. (2025). Multitask Learning 1997–2024: Part II Regularization and Optimization. Harvard Data Science Review. 7(3).
2.
Liu, Yi, Shuai Zheng, Mengqi Wang, et al.. (2025). Synergistic triboelectric and antibacterial properties in biodegradable nanofiber membranes for air filtration. Journal of Hazardous Materials. 495. 138793–138793. 4 indexed citations
3.
Zhang, Yin, et al.. (2025). Intelligent design of broadband metasurface based on spectrum prediction neural network and transition simulated annealing algorithm. Engineering Applications of Artificial Intelligence. 161. 112297–112297. 1 indexed citations
4.
Liang, Shi-Lin, Yanqing Yao, Jun Yu, Chee Kiong Soh, & Long Yun. (2025). Investigation on shear strength of steel-concrete-steel composite beams with lacing bars. Engineering Structures. 335. 120404–120404. 1 indexed citations
5.
6.
Zhao, Xianwei, Yongjun Chen, Jun Yu, et al.. (2025). High-Performance Poly(urethane-urea) Elastomers via Soft–Hard Domain Optimization. ACS Applied Polymer Materials. 7(16). 10674–10685.
7.
Yu, Jun, Yanqing Yao, Yao Lu, & Shi-Lin Liang. (2025). Experiments and Combined Microscopic and Macroscopic Simulations of Out-of-Plane Behavior of One-Way S-UHPC-S Composite Wall Strips. Journal of Structural Engineering. 151(12). 1 indexed citations
8.
Liang, Shi-Lin & Jun Yu. (2024). Structural behavior of S-UHPC-S composite wall strips with waved tie bars: Experiment, simulation, and design. Engineering Structures. 321. 118940–118940. 4 indexed citations
9.
Zeng, Bin, et al.. (2024). Experimental study on bonded and unbonded prestressed precast concrete beam column substructures under penultimate column removal. Engineering Structures. 323. 119330–119330. 4 indexed citations
10.
Yu, Jun, et al.. (2024). A rapid damage assessment framework for regular RC frame structures under external explosions. Structures. 68. 107104–107104. 2 indexed citations
11.
Liang, Shi-Lin, et al.. (2024). Experimental and numerical investigations on structural behavior of S-UHPC-S composite walls under near-field blast load. Journal of Building Engineering. 98. 111175–111175. 5 indexed citations
12.
Yu, Jun, et al.. (2024). BSI-MVS: multi-view stereo network with bidirectional semantic information. Scientific Reports. 14(1). 6766–6766. 1 indexed citations
13.
Qin, Jianjian, et al.. (2024). Multilevel saliency-guided self-supervised learning for image anomaly detection. Signal Image and Video Processing. 18(8-9). 6339–6351. 2 indexed citations
14.
Yu, Jun, et al.. (2023). Effect of tie column on the progressive collapse performance of infilled reinforced concrete frames. Advances in Structural Engineering. 26(15). 2862–2878. 4 indexed citations
15.
Yu, Jun, et al.. (2023). Generating Smooth Interpretability Map for Explainable Image Segmentation. 1023–1025. 1 indexed citations
16.
Qian, Kai, et al.. (2021). Effects of loading regimes on the structural behavior of RC beam-column sub-assemblages against disproportionate collapse. Engineering Structures. 251. 113470–113470. 49 indexed citations
17.
Yu, Jun, et al.. (2020). Progressive collapse resistance of post-tensioned concrete beam-column assemblies under a middle column removal scenario. Journal of Building Engineering. 34. 101945–101945. 33 indexed citations
18.
Yu, Jun, et al.. (2020). Behavior and design of reinforced concrete frames retrofitted with steel bracing against progressive collapse. The Structural Design of Tall and Special Buildings. 29(12). 11 indexed citations
19.
Yu, Jun, et al.. (2020). Numerical study of dynamic responses of reinforced concrete infilled frames subjected to progressive collapse. Advances in Structural Engineering. 24(4). 635–652. 18 indexed citations
20.
Yu, Jun, et al.. (2019). Structure behavior of concrete filled double-steel-plate composite walls under fire. Advances in Structural Engineering. 22(8). 1895–1908. 9 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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