Jianjun Hu
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Artificial Intelligence top 1%
- Solar Radiation and Photovoltaics
Papers in
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- Machine Learning in Materials Science 58
- X-ray Diffraction in Crystallography 32
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- Evolutionary Algorithms and Applications 17
- Metaheuristic Optimization Algorithms Research 16
- Co-authors
- Shaobo Li (41 shared papers)Yuxin Cui (9 shared papers)Rongzhi Dong (21 shared papers)Yong Zhao (19 shared papers)Ansi Zhang (7 shared papers)Zhonghao Liu (10 shared papers)Ming Hu (16 shared papers)Jie Hu (8 shared papers)
- Journals
- Applied Sciences (11 papers)Computational Materials Science (7 papers)IEEE Access (7 papers)npj Computational Materials (7 papers)Neurocomputing (5 papers)
- Partner nations
- United StatesChinaSri Lanka
In The Last Decade
Jianjun Hu
191 papers receiving 5.5k citations
Jianjun Hu's Hit Papers
Peers
Comparison fields: 5 of 192
- Control and Systems Engineering 985
- Artificial Intelligence 1.2k
- Computational Theory and Mathematics 494
- Renewable Energy, Sustainability and the Environment 492
- Materials Chemistry 1.4k
Countries citing papers authored by Jianjun Hu
This map shows the geographic impact of Jianjun Hu'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 Jianjun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Hu more than expected).
Fields of papers citing papers by Jianjun Hu
This network shows the impact of papers produced by Jianjun Hu. 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 Jianjun Hu. The network helps show where Jianjun Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianjun Hu, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning Hit paper breakdown → | 2019 | 324 |
| 2 | 2019 | 262 | |
| 3 | 2017 | 250 | |
| 4 | 2009 | 223 | |
| 5 | Meta-learning for few-shot bearing fault diagnosis under complex working conditions Hit paper breakdown → | 2021 | 210 |
| 6 | 2017 | 171 | |
| 7 | 2020 | 167 | |
| 8 | 2016 | 138 | |
| 9 | 2018 | 137 | |
| 10 | 2018 | 120 | |
| 11 | 2013 | 99 | |
| 12 | 2018 | 96 | |
| 13 | 2018 | 86 | |
| 14 | 2022 | 79 | |
| 15 | 2023 | 75 | |
| 16 | 2021 | 67 | |
| 17 | 2005 | 67 | |
| 18 | 2013 | 65 | |
| 19 | 2018 | 64 | |
| 20 | 2019 | 62 |
About Jianjun Hu
Jianjun Hu is a scholar working on Materials Chemistry, Artificial Intelligence, Molecular Biology, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 203 papers that have together received 5.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (58 papers), X-ray Diffraction in Crystallography (32 papers), Computational Drug Discovery Methods (22 papers), Evolutionary Algorithms and Applications (17 papers), Metaheuristic Optimization Algorithms Research (16 papers), Machine Learning in Bioinformatics (10 papers), Machine Fault Diagnosis Techniques (9 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Control and Systems Engineering (985 citations), Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (494 citations), Renewable Energy, Sustainability and the Environment (492 citations) and Materials Chemistry (1.4k citations). Jianjun Hu has collaborated with scholars based in United States, China and Sri Lanka. Frequent co-authors include Shaobo Li, Yuxin Cui, Rongzhi Dong, Yong Zhao, Ansi Zhang, Zhonghao Liu, Ming Hu, Jie Hu, Edirisuriya M. Dilanga Siriwardane and Guangyin Xu. Their work appears in journals such as Applied Sciences, Computational Materials Science, IEEE Access, npj Computational Materials and Neurocomputing.
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.