Guang‐Jun Jiang

494 total citations · 1 hit paper
37 papers, 315 citations indexed

About

Guang‐Jun Jiang is a scholar working on Mechanical Engineering, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Guang‐Jun Jiang has authored 37 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 9 papers in Control and Systems Engineering and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Guang‐Jun Jiang's work include Risk and Safety Analysis (6 papers), Software Reliability and Analysis Research (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Guang‐Jun Jiang is often cited by papers focused on Risk and Safety Analysis (6 papers), Software Reliability and Analysis Research (5 papers) and Machine Fault Diagnosis Techniques (5 papers). Guang‐Jun Jiang collaborates with scholars based in China, Iran and Malaysia. Guang‐Jun Jiang's co-authors include Arman Nedjati, Mohammad Yazdi, Hongxia Chen, Dezhi Li, Pengkai Wang, Xiaoyu Wang, Yan Shi, Jiasheng Wang, Shufeng Tang and Jianxin Wu and has published in prestigious journals such as Journal of Power Sources, International Journal of Heat and Mass Transfer and Measurement Science and Technology.

In The Last Decade

Guang‐Jun Jiang

34 papers receiving 308 citations

Hit Papers

Numerical study of proton exchange membrane fuel cells wi... 2025 2026 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang‐Jun Jiang China 11 111 96 55 41 39 37 315
Dapeng Niu China 12 160 1.4× 176 1.8× 39 0.7× 39 1.0× 14 0.4× 49 433
Hui-Chu Chen Taiwan 9 89 0.8× 67 0.7× 90 1.6× 24 0.6× 24 0.6× 14 325
Ahmed Maged Egypt 12 59 0.5× 95 1.0× 22 0.4× 20 0.5× 84 2.2× 44 362
Yawei Hu China 12 172 1.5× 133 1.4× 53 1.0× 78 1.9× 12 0.3× 32 349
Xiaogang Zhang China 14 174 1.6× 79 0.8× 45 0.8× 68 1.7× 65 1.7× 37 439
Rajkumar Bhimgonda Patil India 11 50 0.5× 37 0.4× 67 1.2× 24 0.6× 40 1.0× 40 291
Yujiong Gu China 12 207 1.9× 136 1.4× 290 5.3× 45 1.1× 13 0.3× 52 631
Minghai Li China 10 60 0.5× 25 0.3× 59 1.1× 18 0.4× 19 0.5× 31 334
Lili Zuo China 16 288 2.6× 107 1.1× 136 2.5× 66 1.6× 86 2.2× 44 647
Ruiqi Wang China 13 140 1.3× 51 0.5× 68 1.2× 21 0.5× 20 0.5× 31 525

Countries citing papers authored by Guang‐Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang‐Jun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Jun Jiang. A scholar is included among the top collaborators of Guang‐Jun 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 Guang‐Jun Jiang. Guang‐Jun 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.
Jiang, Guang‐Jun, et al.. (2025). Reliability Prediction Method for Offshore Wind Turbines Based on Time Series and Data Migration Models. Quality and Reliability Engineering International. 41(6). 2610–2623.
2.
Liu, Qiang, et al.. (2025). Numerical study of proton exchange membrane fuel cells with airfoil cross flow field. Journal of Power Sources. 631. 236232–236232. 26 indexed citations breakdown →
3.
4.
Li, Yunfeng, et al.. (2025). Microstructure and Impact Resistance of ‘Sandwich’ Composite Coating by Laser Cladding. Journal of Thermal Spray Technology. 34(5). 1873–1892. 1 indexed citations
5.
Li, Yunfeng, et al.. (2024). Microstructure, wear and corrosion resistance of Ni-based composite coating by multi-layer laser cladding. Materials Today Communications. 41. 110369–110369. 3 indexed citations
6.
Liu, Qiang, et al.. (2024). Airfoil cross flow field to enhance mass transfer capacity and performance for PEMFC. International Journal of Heat and Mass Transfer. 235. 126205–126205. 11 indexed citations
7.
Jiang, Guang‐Jun, et al.. (2024). A novel intelligent fault diagnosis method of rolling bearings based on capsule network with Fast Routing algorithm. Quality and Reliability Engineering International. 40(5). 2235–2255. 4 indexed citations
8.
Jiang, Guang‐Jun, et al.. (2024). A novel fault diagnosis framework of rolling bearings based on adaptive dynamic activation convolutional capsule network. Measurement Science and Technology. 35(4). 45119–45119. 5 indexed citations
9.
Wu, Jianxin, et al.. (2023). Uncertainty analysis of wind speed of wind turbine. Quality and Reliability Engineering International. 39(5). 1814–1830. 3 indexed citations
10.
Jiang, Guang‐Jun, Dezhi Li, Ke Feng, et al.. (2023). Rolling Bearing Fault Diagnosis Based On Convolutional Capsule Network. 9 indexed citations
11.
Li, Chunwei, et al.. (2022). Research on Reliability Modelling for Heavy CNC Machine Tools under Uncertain Variables Based on Universal Generating Function. Mathematical Problems in Engineering. 2022. 1–10. 2 indexed citations
12.
Jiang, Guang‐Jun, et al.. (2021). Reliability Analysis of Special Vehicle Critical System Using Discrete-Time Bayesian Network. Mathematical Problems in Engineering. 2021. 1–9. 1 indexed citations
13.
Jiang, Guang‐Jun, et al.. (2021). Information Fusion of Discrete Variables and Continuous Variables Based on D-S Evidential Theory. IOP Conference Series Materials Science and Engineering. 1043(2). 22028–22028.
14.
Muqeet, Hafiz Abdul, Hafiz Mudassir Munir, Aftab Ahmad, et al.. (2021). Optimal Operation of the Campus Microgrid considering the Resource Uncertainty and Demand Response Schemes. Mathematical Problems in Engineering. 2021. 1–18. 18 indexed citations
15.
Jiang, Guang‐Jun, et al.. (2021). Hierarchical Bayesian Based Reliability Analysis of a Sharing Storage Processor. 7(2). 1–8. 1 indexed citations
16.
Jiang, Guang‐Jun, et al.. (2021). Optimized Vegetation Density to Dissipate Energy of Flood Flow in Open Canals. Mathematical Problems in Engineering. 2021. 1–18. 4 indexed citations
17.
Jiang, Guang‐Jun, et al.. (2021). An improved multi-criteria emergency decision-making method in environmental disasters. Soft Computing. 25(15). 10351–10379. 30 indexed citations
18.
Jiang, Guang‐Jun, et al.. (2019). Reliability analysis of the starting and landing system of UAV by FMECA and FTA. Journal of Industrial and Production Engineering. 36(8). 503–511. 6 indexed citations
19.
Jiang, Guang‐Jun, et al.. (2016). Transportation system evaluation model based on DEA. Journal of Discrete Mathematical Sciences and Cryptography. 20(1). 115–124. 10 indexed citations
20.
Jiang, Guang‐Jun. (2011). Comprehensive Evaluation of Energy Transportation Corridor in China. International Journal of Information Technology and Computer Science. 3(4). 36–42. 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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