Yong Yu

1.7k total citations · 2 hit papers
54 papers, 1.3k citations indexed

About

Yong Yu is a scholar working on Civil and Structural Engineering, Building and Construction and Environmental Engineering. According to data from OpenAlex, Yong Yu has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Civil and Structural Engineering, 47 papers in Building and Construction and 2 papers in Environmental Engineering. Recurrent topics in Yong Yu's work include Innovative concrete reinforcement materials (35 papers), Recycled Aggregate Concrete Performance (30 papers) and Innovations in Concrete and Construction Materials (21 papers). Yong Yu is often cited by papers focused on Innovative concrete reinforcement materials (35 papers), Recycled Aggregate Concrete Performance (30 papers) and Innovations in Concrete and Construction Materials (21 papers). Yong Yu collaborates with scholars based in China, Malaysia and Australia. Yong Yu's co-authors include Xinyu Zhao, Jinjun Xu, Yu Zheng, Tianyu Xie, Bo Wu, Lin Lang, Jianyang Xue, Zongping Chen, Xiaolong Zhao and Jie Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Yong Yu

51 papers receiving 1.3k citations

Hit Papers

An agile, intelligent and... 2024 2026 2024 2025 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yong Yu 1.2k 996 64 47 41 54 1.3k
Sam Fragomeni 967 0.8× 695 0.7× 40 0.6× 43 0.9× 23 0.6× 76 1.0k
Baboo Rai 888 0.8× 509 0.5× 36 0.6× 43 0.9× 18 0.4× 35 985
Aryan Far H. Sherwani 901 0.8× 559 0.6× 47 0.7× 34 0.7× 64 1.6× 32 1.0k
D.V. Bompa 1.3k 1.1× 1.1k 1.1× 47 0.7× 46 1.0× 21 0.5× 81 1.5k
Marta Kadela 674 0.6× 445 0.4× 51 0.8× 78 1.7× 20 0.5× 50 817
Thanongsak Imjai 654 0.6× 526 0.5× 97 1.5× 63 1.3× 38 0.9× 68 836
M.H.A. Beygi 1.2k 1.0× 710 0.7× 199 3.1× 40 0.9× 24 0.6× 18 1.3k
E. Rahmani 936 0.8× 604 0.6× 130 2.0× 32 0.7× 30 0.7× 13 1.0k
Iqbal Marie 1.1k 1.0× 1.1k 1.1× 31 0.5× 36 0.8× 71 1.7× 17 1.3k
Yuxiang Tang 841 0.7× 757 0.8× 101 1.6× 32 0.7× 45 1.1× 27 1.0k

Countries citing papers authored by Yong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Yu. A scholar is included among the top collaborators of Yong 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 Yong Yu. Yong 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.
Wu, Wenjun, et al.. (2025). Compressive mechanical behaviors of recycled lump concrete containing multi-source crushed concrete lumps: Experiment and discrete element modeling. Construction and Building Materials. 465. 140220–140220. 2 indexed citations
2.
Xu, Jinjun, et al.. (2025). Post-fire compressive mechanical behaviors of concrete incorporating coarse and fine recycled aggregates. Construction and Building Materials. 461. 139948–139948. 24 indexed citations breakdown →
3.
Yu, Yong, et al.. (2025). Data-driven compressive strength estimation and mix optimization for ultra-high-performance concrete. Journal of Building Engineering. 114. 114253–114253. 2 indexed citations
4.
Yu, Yong & Bo Wu. (2025). Data-enriched probabilistic analysis of steel rebar bond and anchorage in recycled aggregate concrete. Journal of Building Engineering. 117. 114837–114837.
6.
Yu, Yong, Jie Su, & Bo Wu. (2025). A hybrid Bayesian model updating and non-dominated sorting genetic algorithm framework for intelligent mix design of steel fiber reinforced concrete. Engineering Applications of Artificial Intelligence. 161. 112071–112071. 16 indexed citations
7.
Jia, Ruiquan, Bo Ran, Tong Lv, et al.. (2025). Synergistic effect of waste concrete powder and traditional SCMs in preparing clinker-free cement: Hydration and microstructure evolution. Construction and Building Materials. 491. 142798–142798. 5 indexed citations
8.
Wang, Yiren, et al.. (2025). The Preparation of C-S-H Powder Seeds and Their Effect on the Early Hydration Performance of Cement Paste. Crystals. 15(1). 73–73. 2 indexed citations
9.
Yu, Yong, et al.. (2025). Mechanical, workability, economic and environmental properties of concrete with limestone calcined clay cement and recycled aggregates. Scientific Reports. 15(1). 14122–14122. 1 indexed citations
10.
Xu, Jinjun, et al.. (2025). Predicting compressive strength of concrete at elevated temperatures and optimizing its mixture proportions. Case Studies in Construction Materials. 22. e04480–e04480. 4 indexed citations
12.
Yu, Yong, Jinjun Xu, Jie Su, Lei Xu, & Yong Luo. (2024). Investigating specimen size and shape effects on compressive mechanical behaviors of recycled aggregate concrete using discrete element mesoscale modeling. Construction and Building Materials. 438. 137196–137196. 29 indexed citations
13.
Wang, Yuhan, Shuyuan Zhang, Zhe Zhang, Yong Yu, & Jinjun Xu. (2024). Reverse design for mixture proportions of recycled brick aggregate concrete using machine learning-based meta-heuristic algorithm: A multi-objective driven study. Journal of CO2 Utilization. 88. 102944–102944. 22 indexed citations
14.
Liao, JinJing, et al.. (2024). Tension stiffening and cracking behavior of FRP-reinforced self-compacting concrete with high-volume fly ash (HVFA-SCC). Construction and Building Materials. 456. 139219–139219. 8 indexed citations
15.
Yan, Jia, Jie Su, Jinjun Xu, Lin Lang, & Yong Yu. (2024). Ensemble machine learning models for compressive strength and elastic modulus of recycled brick aggregate concrete. Materials Today Communications. 41. 110635–110635. 15 indexed citations
16.
Zhao, Xinyu, et al.. (2023). Flexural bond evaluation of deformed steel rebars in recycled aggregate concrete. Journal of Building Engineering. 76. 107171–107171. 13 indexed citations
17.
Yu, Yong, et al.. (2023). Probabilistic models for characteristic bond stresses of steel-concrete in steel reinforced concrete structures. Engineering Structures. 300. 117167–117167. 18 indexed citations
18.
Yu, Yong, et al.. (2023). Bond responses and anchorage length of GFRP bar in precast recycled aggregate concrete. Structures. 59. 105761–105761. 17 indexed citations
19.
Liu, Qin, et al.. (2023). Axial Compression Performance and Bearing Capacity Calculation of Round-Ended Concrete-Filled Aluminum Tube Column. Applied Sciences. 13(13). 7918–7918. 8 indexed citations
20.
Yu, Yong, et al.. (2023). Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns. KSCE Journal of Civil Engineering. 28(1). 315–327. 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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