Lei Jiang

2.4k total citations · 1 hit paper
96 papers, 1.8k citations indexed

About

Lei Jiang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Lei Jiang has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Civil and Structural Engineering, 29 papers in Mechanical Engineering and 20 papers in Materials Chemistry. Recurrent topics in Lei Jiang's work include Structural Load-Bearing Analysis (23 papers), Structural Behavior of Reinforced Concrete (17 papers) and Aluminum Alloys Composites Properties (13 papers). Lei Jiang is often cited by papers focused on Structural Load-Bearing Analysis (23 papers), Structural Behavior of Reinforced Concrete (17 papers) and Aluminum Alloys Composites Properties (13 papers). Lei Jiang collaborates with scholars based in China, United States and Canada. Lei Jiang's co-authors include Jianxin Xie, Huadong Fu, Yongjian Liu, Changsheng Wang, Amir Fam, Xingqun He, Hongtao Zhang, Dezhen Xue, Long‐Qing Chen and Zhihao Zhang and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Advanced Functional Materials.

In The Last Decade

Lei Jiang

87 papers receiving 1.7k citations

Hit Papers

Synchronously enhancing the strength, toughness, and stre... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Synchronously enhancing the strength, toughness, and stress corrosion resistance of high-end aluminum alloys via interpretable machine learning
    2024 64 citations Lei Jiang, Huadong Fu et al. Acta Materialia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lei Jiang China 22 780 523 431 412 276 96 1.8k
Qi Zhao China 25 986 1.3× 661 1.3× 424 1.0× 407 1.0× 569 2.1× 107 1.9k
Jinwei Li China 25 888 1.1× 670 1.3× 377 0.9× 158 0.4× 580 2.1× 135 1.9k
Peng Chen China 22 774 1.0× 416 0.8× 195 0.5× 317 0.8× 157 0.6× 129 1.5k
Patricia Zambrano‐Robledo Mexico 20 497 0.6× 642 1.2× 203 0.5× 184 0.4× 192 0.7× 126 1.3k
Xiang Chen China 24 950 1.2× 1.0k 2.0× 210 0.5× 331 0.8× 514 1.9× 134 2.0k
Antonios Kontsos United States 29 963 1.2× 618 1.2× 810 1.9× 189 0.5× 942 3.4× 98 2.5k
M. Ishak Malaysia 25 1.8k 2.3× 450 0.9× 135 0.3× 357 0.9× 307 1.1× 142 2.3k
Ján Valíček Czechia 26 987 1.3× 498 1.0× 202 0.5× 152 0.4× 307 1.1× 192 2.0k
Marco Alfano Italy 29 704 0.9× 387 0.7× 284 0.7× 132 0.3× 1.3k 4.9× 89 2.4k
Hyung Keun Park South Korea 20 804 1.0× 553 1.1× 75 0.2× 195 0.5× 232 0.8× 35 1.4k

Countries citing papers authored by Lei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Jiang. A scholar is included among the top collaborators of Lei Jiang 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 Lei Jiang. Lei Jiang 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.
2.
Jiang, Xue, Huadong Fu, Yang Bai, et al.. (2025). Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials. Advanced Functional Materials. 35(41). 10 indexed citations
3.
4.
5.
Li, Junwei, Fang Long, Daliang Xu, et al.. (2024). Intercalation of small molecules in the selective layer of polyamide nanofiltration membranes facilitates the separation of Mg2+/Li+. Chemical Engineering Journal. 487. 150659–150659. 24 indexed citations
6.
Jiang, Lei, Huadong Fu, Zhihao Zhang, et al.. (2024). Synchronously enhancing the strength, toughness, and stress corrosion resistance of high-end aluminum alloys via interpretable machine learning. Acta Materialia. 270. 119873–119873. 64 indexed citations breakdown →
7.
8.
Zhou, Xiaozhou, et al.. (2024). Machine-Learning-Assisted Composition Design for High-Yield-Strength TWIP Steel. Metals. 14(8). 952–952. 2 indexed citations
9.
Zhang, Hongtao, Huadong Fu, Weidong Li, et al.. (2024). Empowering the Sustainable Development of High‐End Alloys via Interpretive Machine Learning. Advanced Materials. 36(48). e2404478–e2404478. 15 indexed citations
10.
Feng, Xinmin, Zhilei Wang, Lei Jiang, Fan Zhao, & Zhihao Zhang. (2023). Simultaneous enhancement in mechanical and corrosion properties of Al-Mg-Si alloys using machine learning. Journal of Material Science and Technology. 167. 1–13. 61 indexed citations
11.
Jiang, Yuexu, Lei Jiang, Duolin Wang, et al.. (2023). MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels. Nucleic Acids Research. 51(W1). W343–W349. 20 indexed citations
12.
Liu, Yongjian, et al.. (2023). Theoretical Method to Predict Internal Force of Crossbeam in Steel–Concrete Composite Twin I-Girder Bridge under Torsional Loading. Applied Sciences. 13(11). 6669–6669. 1 indexed citations
13.
Zhang, Miao, et al.. (2023). Reinforcing or weakening? Determined by the interfacial nanostructures in graphene reinforced copper matrix composites. Diamond and Related Materials. 141. 110664–110664. 2 indexed citations
14.
Jiang, Lei, Changsheng Wang, Huadong Fu, et al.. (2021). Discovery of aluminum alloys with ultra-strength and high-toughness via a property-oriented design strategy. Journal of Material Science and Technology. 98. 33–43. 105 indexed citations
15.
Zhang, Xuezhi, Yue Chu, Junfeng Jiang, et al.. (2019). The Correction of Nonlinearity in Wavelength Scanning Based on Long-OPD Interferometer for Fiber Bragg Grating Demodulation in Environment With Variable Temperature. IEEE photonics journal. 12(2). 1–10. 4 indexed citations
16.
Liu, Yongjian, et al.. (2017). Review on Mechanical Behavior Research of Concrete Filled Rectangular Hollow Section Tube Stiffened with PBL. Zhongguo gonglu xuebao. 30(11). 45. 13 indexed citations
17.
Liu, Yongjian, et al.. (2017). Concrete-filled rectangular hollow section X joint with Perfobond Leister rib structural performance study: Ultimate and fatigue experimental Investigation. Steel and Composite Structures. 24(4). 455–465. 22 indexed citations
18.
Tan, Shujie, et al.. (2017). Microstructure and mechanical properties of 80Ni20Cr alloy manufactured by laser 3D printing technology. The Chinese Journal of Nonferrous Metals. 1 indexed citations
19.
Jiang, Lei. (2013). Prediction of bending fatigue life for gears based on dynamic load spectra. Journal of University of Science and Technology Beijing. 5 indexed citations
20.
Kwon, Sung Min, J.K. Kim, Jaeyoun Yi, et al.. (2002). Spine Needle Biopsy Simulator Using Visual and Force Feedback. Computer Aided Surgery. 7(6). 353–363. 21 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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