Guang‐Jun Jiang
Impact in
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- Risk and Safety Analysis
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
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- Additive Manufacturing Materials and Processes 4
- High Entropy Alloys Studies 4
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- Machine Fault Diagnosis Techniques 5
- Fault Detection and Control Systems 4
- Co-authors
- Mohammad Yazdi (2 shared papers)Dezhi Li (4 shared papers)Arman Nedjati (2 shared papers)Xiaoyu Wang (2 shared papers)Hongxia Chen (5 shared papers)Pengkai Wang (2 shared papers)Yan Shi (4 shared papers)Shufeng Tang (2 shared papers)
In The Last Decade
Guang‐Jun Jiang
36 papers receiving 342 citations
Peers
Comparison fields: 5 of 73
- Statistics, Probability and Uncertainty 40
- Control and Systems Engineering 104
- Software 16
- Safety, Risk, Reliability and Quality 30
- Mechanical Engineering 119
Countries citing papers authored by Guang‐Jun Jiang
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
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-authors
The 25 scholars most cited alongside Guang‐Jun Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 40 | |
| 2 | 2021 | 30 | |
| 3 | 2025 | 30 | |
| 4 | 2023 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2021 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2024 | 15 | |
| 10 | 2021 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2022 | 5 |
About Guang‐Jun Jiang
Guang‐Jun Jiang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanics of Materials and Safety, Risk, Reliability and Quality, having authored 37 papers that have together received 345 indexed citations. Recurring topics across this work include Risk and Safety Analysis (6 papers), Machine Fault Diagnosis Techniques (5 papers), Software Reliability and Analysis Research (5 papers), Additive Manufacturing Materials and Processes (4 papers), High Entropy Alloys Studies (4 papers), Fault Detection and Control Systems (4 papers), Engineering Diagnostics and Reliability (4 papers) and Reliability and Maintenance Optimization (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (40 citations), Control and Systems Engineering (104 citations), Software (16 citations), Safety, Risk, Reliability and Quality (30 citations) and Mechanical Engineering (119 citations). Guang‐Jun Jiang has collaborated with scholars based in China, Iran and Malaysia. Frequent co-authors include Mohammad Yazdi, Dezhi Li, Arman Nedjati, Xiaoyu Wang, Hongxia Chen, Pengkai Wang, Yan Shi, Shufeng Tang, Jianxin Wu and Jiasheng Wang. Their work appears in journals such as Quality and Reliability Engineering International, Measurement Science and Technology, Journal of Materials Engineering and Performance, Journal of Thermal Spray Technology and Eksploatacja i Niezawodnosc - Maintenance and Reliability.
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.