Bo Fu
Impact in
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- Artificial Intelligence in Healthcare
- Water Science and Technology top 10%
- Minerals Flotation and Separation Techniques
Papers in
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- AI in cancer detection 8
- Co-authors
- Pei Liu (8 shared papers)Simon X. Yang (3 shared papers)Ling Deng (4 shared papers)Guanzhou Qiu (3 shared papers)Hongbo Zhou (3 shared papers)Hong Zheng (4 shared papers)Rubing Zhang (1 shared paper)Xiaorong Zhong (3 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (2 papers)IEEE Transactions on Biomedical Engineering (2 papers)Case Studies in Construction Materials (1 paper)Scientific Reports (1 paper)IEEE Signal Processing Letters (1 paper)
- Partner nations
- ChinaCanadaAfghanistan
In The Last Decade
Bo Fu
30 papers receiving 568 citations
Peers
Comparison fields: 5 of 99
- Health Information Management 58
- Water Science and Technology 116
- Computer Vision and Pattern Recognition 122
- Signal Processing 61
- Artificial Intelligence 179
Countries citing papers authored by Bo Fu
This map shows the geographic impact of Bo Fu'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 Bo Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Fu more than expected).
Fields of papers citing papers by Bo Fu
This network shows the impact of papers produced by Bo Fu. 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 Bo Fu. The network helps show where Bo Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Fu, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2008 | 84 | |
| 3 | 2017 | 53 | |
| 4 | 2018 | 47 | |
| 5 | 2009 | 47 | |
| 6 | 2007 | 40 | |
| 7 | 2013 | 30 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2007 | 16 | |
| 13 | 2013 | 14 | |
| 14 | 2007 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2012 | 5 |
About Bo Fu
Bo Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Biomedical Engineering and Information Systems, having authored 32 papers that have together received 591 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Biometric Identification and Security (4 papers), Metal Extraction and Bioleaching (4 papers), Minerals Flotation and Separation Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Cancer Treatment Studies (3 papers), User Authentication and Security Systems (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Health Information Management (58 citations), Water Science and Technology (116 citations), Computer Vision and Pattern Recognition (122 citations), Signal Processing (61 citations) and Artificial Intelligence (179 citations). Bo Fu has collaborated with scholars based in China, Canada and Afghanistan. Frequent co-authors include Pei Liu, Simon X. Yang, Ling Deng, Guanzhou Qiu, Hongbo Zhou, Hong Zheng, Rubing Zhang, Xiaorong Zhong, Jianping Li and Chaorong Li. Their work appears in journals such as Computer Methods and Programs in Biomedicine, IEEE Transactions on Biomedical Engineering, Case Studies in Construction Materials, Scientific Reports and IEEE Signal Processing Letters.
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.