Jun Yang

3.2k total citations
135 papers, 2.5k citations indexed

About

Jun Yang is a scholar working on Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Jun Yang has authored 135 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Safety, Risk, Reliability and Quality, 56 papers in Statistics, Probability and Uncertainty and 30 papers in Statistics and Probability. Recurrent topics in Jun Yang's work include Reliability and Maintenance Optimization (67 papers), Statistical Distribution Estimation and Applications (23 papers) and Software Reliability and Analysis Research (23 papers). Jun Yang is often cited by papers focused on Reliability and Maintenance Optimization (67 papers), Statistical Distribution Estimation and Applications (23 papers) and Software Reliability and Analysis Research (23 papers). Jun Yang collaborates with scholars based in China, Hong Kong and United States. Jun Yang's co-authors include Songhua Hao, Qingqing Zhai, Lei Li, Rui Peng, Yu Zhao, Liudong Xing, Christophe Bérenguer, Cheng Chen, Min Xie and Xiaobing Ma and has published in prestigious journals such as Applied Energy, European Journal of Operational Research and IEEE Access.

In The Last Decade

Jun Yang

129 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jun Yang 1.4k 1.0k 588 424 394 135 2.5k
Anne Barros 1.9k 1.4× 981 0.9× 743 1.3× 482 1.1× 590 1.5× 89 2.6k
Hongyan Dui 1.2k 0.9× 990 1.0× 378 0.6× 137 0.3× 548 1.4× 152 2.6k
Xian Zhao 2.3k 1.6× 1.1k 1.1× 1.0k 1.7× 459 1.1× 303 0.8× 114 2.8k
Jinhua Mi 815 0.6× 915 0.9× 366 0.6× 178 0.4× 337 0.9× 60 2.0k
Hong‐Zhong Huang 1.6k 1.2× 1.6k 1.5× 614 1.0× 558 1.3× 483 1.2× 151 3.4k
Anatoly Lisnianski 3.0k 2.1× 1.8k 1.7× 1.4k 2.3× 640 1.5× 308 0.8× 61 3.6k
Bo Guo 791 0.6× 427 0.4× 192 0.3× 458 1.1× 414 1.1× 116 1.8k
Ershun Pan 1.3k 0.9× 611 0.6× 242 0.4× 186 0.4× 1.0k 2.6× 185 3.4k
Viliam Makiš 1.9k 1.4× 907 0.9× 633 1.1× 569 1.3× 1.3k 3.2× 123 3.4k
Arnljot Høyland 880 0.6× 710 0.7× 325 0.6× 308 0.7× 248 0.6× 11 1.7k

Countries citing papers authored by Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yang. A scholar is included among the top collaborators of Jun Yang 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 Yang. Jun Yang 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, Jun, et al.. (2025). Multi-Tree Genetic Programming with Elite Recombination for dynamic task scheduling of satellite edge computing. Future Generation Computer Systems. 166. 107700–107700. 2 indexed citations
2.
Yang, Jun, et al.. (2025). Multi-tree genetic programming for adaptive dynamic fault-tolerant task scheduling of satellite edge computing. Future Generation Computer Systems. 175. 108099–108099.
3.
Li, Lei, et al.. (2024). Selective maintenance of continuously degrading systems with non-identical and stochastically dependent components. Applied Mathematical Modelling. 132. 561–586. 4 indexed citations
4.
Yang, Jun, et al.. (2024). Sharpness-Aware Gradient Alignment for Domain Generalization With Noisy Labels in Intelligent Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 73. 10–19. 6 indexed citations
5.
Yang, Jun, et al.. (2024). Joint Multimission Selective Maintenance and Inventory Optimization for Multicomponent Systems Considering Stochastic Dependency. IEEE Transactions on Reliability. 73(4). 1967–1981. 3 indexed citations
6.
Yang, Jun, et al.. (2024). A Mimic-Filling Algorithm for Pairwise Model Discrimination of Censoring Lifetime Data. IEEE Transactions on Reliability. 74(1). 2255–2264. 1 indexed citations
7.
Yang, Jun, et al.. (2023). Reliability demonstration test plan for degraded products subject to Gamma process with unit heterogeneity. Reliability Engineering & System Safety. 240. 109617–109617. 17 indexed citations
8.
Ma, Yulin, Jun Yang, & Lei Li. (2023). Gradient aligned domain generalization with a mutual teaching teacher-student network for intelligent fault diagnosis. Reliability Engineering & System Safety. 239. 109516–109516. 20 indexed citations
9.
Yang, Jun, et al.. (2023). Reliability analysis of a two-dimensional linear consecutive-(r,s)-out-of-(m,n): F repairable system. Reliability Engineering & System Safety. 242. 109792–109792. 5 indexed citations
10.
Ma, Yulin, Jun Yang, & Lei Li. (2023). Meta Bi-classifier Gradient Discrepancy for noisy and universal domain adaptation in intelligent fault diagnosis. Knowledge-Based Systems. 276. 110735–110735. 10 indexed citations
11.
Yang, Jun, et al.. (2023). Accelerated degradation data analysis based on inverse Gaussian process with unit heterogeneity. Applied Mathematical Modelling. 126. 420–438. 20 indexed citations
12.
Yang, Jun, et al.. (2023). Reliability analysis of multi-stage degradation with stage-varying noises based on the nonlinear Wiener process. Applied Mathematical Modelling. 125. 445–467. 12 indexed citations
13.
Yang, Fangfang, et al.. (2023). A power model considering initial battery state for remaining useful life prediction of lithium-ion batteries. Reliability Engineering & System Safety. 237. 109361–109361. 29 indexed citations
14.
Wang, Ning, et al.. (2023). Transmission reliability evaluation of wireless sensor networks considering channel capacity randomness and energy consumption failure. Reliability Engineering & System Safety. 242. 109769–109769. 13 indexed citations
15.
Yang, Jun, et al.. (2023). A novel adaptive deployment method for the single-target tracking of mobile wireless sensor networks. Reliability Engineering & System Safety. 234. 109135–109135. 5 indexed citations
16.
Li, Ruiyang, et al.. (2023). Availability for multi-component k-out-of-n: G warm-standby system in series with shut-off rule of suspended animation. Reliability Engineering & System Safety. 233. 109106–109106. 15 indexed citations
17.
Yang, Jun, et al.. (2023). Timely reliability modeling and evaluation of wireless sensor networks with adaptive N-policy sleep scheduling. Reliability Engineering & System Safety. 235. 109270–109270. 13 indexed citations
18.
Yang, Jun, et al.. (2023). Reliability assessment of performance-based balanced systems with rebalancing mechanisms. Reliability Engineering & System Safety. 233. 109133–109133. 25 indexed citations
19.
Xiao, Yiyong, et al.. (2020). The continuous maximal covering location problem in large-scale natural disaster rescue scenes. Computers & Industrial Engineering. 146. 106608–106608. 16 indexed citations
20.
Yang, Jun, et al.. (2013). Availability of a Periodically Inspected System Maintained through Several Minimal Repairs before a Replacement or a Perfect Repair. Abstract and Applied Analysis. 2013. 1–6. 1 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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