Jiangbin Zhao

911 total citations
54 papers, 684 citations indexed

About

Jiangbin Zhao is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jiangbin Zhao has authored 54 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Safety, Risk, Reliability and Quality, 18 papers in Control and Systems Engineering and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jiangbin Zhao's work include Reliability and Maintenance Optimization (25 papers), Software Reliability and Analysis Research (13 papers) and Machine Fault Diagnosis Techniques (12 papers). Jiangbin Zhao is often cited by papers focused on Reliability and Maintenance Optimization (25 papers), Software Reliability and Analysis Research (13 papers) and Machine Fault Diagnosis Techniques (12 papers). Jiangbin Zhao collaborates with scholars based in China, Australia and Canada. Jiangbin Zhao's co-authors include Zhiqiang Cai, Shubin Si, Hongyan Dui, Xinping Yan, Chengqing Yuan, Zhixiong Li, Shaomin Wu, Zhongxiao Peng, Xiangang Cao and Chenxing Sheng and has published in prestigious journals such as Chemical Communications, Sustainability and Neurocomputing.

In The Last Decade

Jiangbin Zhao

51 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangbin Zhao China 16 372 262 202 120 95 54 684
Rosmaini Ahmad Malaysia 7 421 1.1× 160 0.6× 245 1.2× 110 0.9× 127 1.3× 20 795
Tangfan Xiahou China 19 386 1.0× 326 1.2× 252 1.2× 136 1.1× 97 1.0× 42 840
Zhen Chen China 15 334 0.9× 135 0.5× 226 1.1× 62 0.5× 103 1.1× 63 665
Mohamed-Salah Ouali Canada 13 246 0.7× 129 0.5× 302 1.5× 59 0.5× 151 1.6× 38 726
Dezhen Yang China 14 220 0.6× 157 0.6× 169 0.8× 62 0.5× 89 0.9× 36 562
Di Zhou China 15 311 0.8× 189 0.7× 172 0.9× 46 0.4× 72 0.8× 43 619
Ramin Moghaddass United States 17 603 1.6× 208 0.8× 330 1.6× 295 2.5× 69 0.7× 37 1.0k
S. Carlos Spain 15 423 1.1× 374 1.4× 121 0.6× 175 1.5× 27 0.3× 37 796
Mary Ann Lundteigen Norway 19 452 1.2× 634 2.4× 143 0.7× 203 1.7× 99 1.0× 77 915
Kondo H. Adjallah France 13 198 0.5× 131 0.5× 95 0.5× 113 0.9× 61 0.6× 73 620

Countries citing papers authored by Jiangbin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jiangbin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangbin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangbin Zhao. A scholar is included among the top collaborators of Jiangbin Zhao 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 Jiangbin Zhao. Jiangbin Zhao 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.
Cao, Xiangang, et al.. (2025). Masked graph autoencoder-based multi-agent dynamic relational inference model for trajectory prediction. Neurocomputing. 634. 129922–129922.
2.
Zhang, Yihe, et al.. (2025). Nanozymes in marine antifouling applications: a focus on haloperoxidase activity. Chemical Communications. 61(73). 13795–13806. 2 indexed citations
3.
Zhang, Shuai, et al.. (2025). A constraint importance measure-based beluga whale optimization algorithm for reliability redundancy allocation problems considering mixed redundancy strategy. Reliability Engineering & System Safety. 264. 111382–111382. 2 indexed citations
5.
Zhao, Jiangbin, et al.. (2024). Random replacement strategies modeling through back and front warranties with preventive maintenance. Computers & Industrial Engineering. 200. 110819–110819. 2 indexed citations
6.
Cao, Xiangang, et al.. (2024). Remaining Useful Life Prediction of Rolling Bearing Based on Multi-Domain Mixed Features and Temporal Convolutional Networks. Applied Sciences. 14(6). 2354–2354. 7 indexed citations
7.
Yang, Xin, et al.. (2024). Uncertainty embedding of attribute networks based on multi-view information fusion and multi-order proximity preservation. Neurocomputing. 620. 129188–129188. 1 indexed citations
8.
Cai, Zhiqiang, et al.. (2024). Time series importance measure-based reliability optimization for cellular manufacturing systems. Reliability Engineering & System Safety. 244. 109929–109929. 7 indexed citations
9.
Cao, Xiangang, et al.. (2024). Research on Large Language Model for Coal Mine Equipment Maintenance Based on Multi-Source Text. Applied Sciences. 14(7). 2946–2946. 7 indexed citations
10.
Zhao, Jiangbin, et al.. (2024). Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment. Eksploatacja i Niezawodnosc - Maintenance and Reliability. 26(3). 1 indexed citations
11.
Duan, Yong, Xiangang Cao, Jiangbin Zhao, et al.. (2024). Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder. Advanced Engineering Informatics. 62. 102945–102945. 5 indexed citations
12.
Wu, Juncheng, et al.. (2024). Improved YOLOv8-based Vision Inspection Method for Weld Defect Classification. 464–468. 1 indexed citations
13.
Zhao, Jiangbin, et al.. (2023). Post-Disaster Resilience Optimization for Road–Bridge Transportation Systems Considering Economic Loss. Sustainability. 15(19). 14380–14380.
14.
15.
Zhao, Jiangbin, et al.. (2023). Fault Analysis of Shearer-Cutting Units Driven by Integrated Importance Measure. Applied Sciences. 13(4). 2711–2711. 2 indexed citations
16.
Xu, Xiaojian, et al.. (2021). Review of condition monitoring and fault diagnosis for marine power systems. Transportation Safety and Environment. 3(2). 85–102. 33 indexed citations
17.
Wang, Wei, et al.. (2020). Maintenance optimization of reconfigurable systems based on multi-objective Birnbaum importance. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 236(2). 277–289. 18 indexed citations
18.
Zhao, Jiangbin, et al.. (2019). Mission success evaluation of repairable phased-mission systems with spare parts. Computers & Industrial Engineering. 132. 248–259. 24 indexed citations
19.
Wang, Ning, Jiangbin Zhao, Zhongyu Jiang, & Shuai Zhang. (2018). Reliability optimization of systems with component improvement cost based on importance measure. Advances in Mechanical Engineering. 10(11). 11 indexed citations
20.
Zhao, Jiangbin, et al.. (2017). Reliability Optimization and Importance Analysis of Circular‐Consecutive k‐out‐of‐n System. Mathematical Problems in Engineering. 2017(1). 5 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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