Fengbo Ren
Impact in
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- Advanced Neural Network Applications
- Hardware and Architecture top 5%
Papers in
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- Advanced Neural Network Applications 11
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- Advanced Memory and Neural Computing 7
- Semiconductor materials and devices 4
- Co-authors
- Dejan Marković (12 shared papers)Yixing Li (10 shared papers)Yuhao Wang (1 shared paper)Kai Xu (1 shared paper)Minghai Qin (1 shared paper)Yen-Kuang Chen (1 shared paper)Fei Sun (1 shared paper)Richard Dorrance (5 shared papers)
- Journals
- IEEE Transactions on Biomedical Circuits and Systems (2 papers)IEEE Transactions on Electron Devices (2 papers)Organic & Biomolecular Chemistry (1 paper)ACM Journal on Emerging Technologies in Computing Systems (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Fengbo Ren
50 papers receiving 1.3k citations
Fengbo Ren's Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 444
- Hardware and Architecture 103
- Media Technology 106
- Computational Mathematics 7
- Polymers and Plastics 112
Countries citing papers authored by Fengbo Ren
This map shows the geographic impact of Fengbo Ren'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 Fengbo Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengbo Ren more than expected).
Fields of papers citing papers by Fengbo Ren
This network shows the impact of papers produced by Fengbo Ren. 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 Fengbo Ren. The network helps show where Fengbo Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengbo Ren, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning in the Frequency Domain Hit paper breakdown → | 2020 | 326 |
| 2 | 2014 | 191 | |
| 3 | 2020 | 94 | |
| 4 | 2018 | 67 | |
| 5 | 2012 | 67 | |
| 6 | 2014 | 61 | |
| 7 | 2010 | 56 | |
| 8 | 2018 | 55 | |
| 9 | 2018 | 50 | |
| 10 | 2017 | 37 | |
| 11 | 2020 | 28 | |
| 12 | 2013 | 26 | |
| 13 | 2016 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2015 | 20 | |
| 17 | 2012 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2013 | 16 |
About Fengbo Ren
Fengbo Ren is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Mechanics, Biomedical Engineering and Signal Processing, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (11 papers), Advanced Neural Network Applications (11 papers), Advanced Memory and Neural Computing (7 papers), Blind Source Separation Techniques (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Machine Learning and ELM (4 papers), Semiconductor materials and devices (4 papers) and Magnetic properties of thin films (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (444 citations), Hardware and Architecture (103 citations), Media Technology (106 citations), Computational Mathematics (7 citations) and Polymers and Plastics (112 citations). Fengbo Ren has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Dejan Marković, Yixing Li, Yuhao Wang, Kai Xu, Minghai Qin, Yen-Kuang Chen, Fei Sun, Richard Dorrance, Zichuan Liu and Hao Yu. Their work appears in journals such as IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Electron Devices, Organic & Biomolecular Chemistry, ACM Journal on Emerging Technologies in Computing Systems and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.