Junfeng Hu
Impact in
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- Industrial Vision Systems and Defect Detection
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
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- Advanced Vision and Imaging 2
- Image and Signal Denoising Methods 2
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- Industrial Vision Systems and Defect Detection 4
- Co-authors
- Qiang Xiong (1 shared paper)Wenlong Song (1 shared paper)Zhen Chen (1 shared paper)Fredrich Kahrl (3 shared papers)Wei Zhang (1 shared paper)Alper Yılmaz (1 shared paper)H. Xin (1 shared paper)Lu Tang (2 shared papers)
- Journals
- iScience (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Utilities Policy (1 paper)PLoS ONE (1 paper)Atmospheric Environment (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junfeng Hu
20 papers receiving 380 citations
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 58
- Analytical Chemistry 54
- Media Technology 39
- Environmental Engineering 60
- General Energy 4
Countries citing papers authored by Junfeng Hu
This map shows the geographic impact of Junfeng 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 Junfeng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Hu more than expected).
Fields of papers citing papers by Junfeng Hu
This network shows the impact of papers produced by Junfeng 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 Junfeng Hu. The network helps show where Junfeng Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2019 | 52 | |
| 3 | 2017 | 31 | |
| 4 | 2012 | 27 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2000 | 16 | |
| 10 | 2016 | 16 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2010 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2024 | 1 |
About Junfeng Hu
Junfeng Hu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology, Environmental Engineering and Control and Systems Engineering, having authored 22 papers that have together received 396 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (4 papers), Environmental Impact and Sustainability (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Integrated Energy Systems Optimization (3 papers), Energy, Environment, and Transportation Policies (2 papers), Advanced Vision and Imaging (2 papers), Image and Signal Denoising Methods (2 papers) and Energy, Environment, Economic Growth (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (58 citations), Analytical Chemistry (54 citations), Media Technology (39 citations), Environmental Engineering (60 citations) and General Energy (4 citations). Junfeng Hu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiang Xiong, Wenlong Song, Zhen Chen, Fredrich Kahrl, Wei Zhang, Wenlong Song, Alper Yılmaz, H. Xin, Lu Tang and Jiansheng Qian. Their work appears in journals such as iScience, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Utilities Policy, PLoS ONE and Atmospheric Environment.
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.