Bin Pu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Fetal and Pediatric Neurological Disorders
Papers in
-
- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 8
- AI in cancer detection 7
- Adversarial Robustness in Machine Learning 4
- Co-authors
- Kenli Li (13 shared papers)Ningbo Zhu (7 shared papers)Jianguo Chen (6 shared papers)Shengli Li (7 shared papers)Yan Kang (9 shared papers)Philip S. Yu (2 shared papers)Guanghua Tan (5 shared papers)Wei Wei (1 shared paper)
- Journals
- Information Fusion (5 papers)IEEE Journal of Biomedical and Health Informatics (5 papers)IEEE Transactions on Computational Biology and Bioinformatics (3 papers)Future Generation Computer Systems (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Bin Pu
46 papers receiving 801 citations
Bin Pu's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 36
- Pediatrics, Perinatology and Child Health 148
- Artificial Intelligence 289
- Computer Vision and Pattern Recognition 152
- Health Information Management 27
Countries citing papers authored by Bin Pu
This map shows the geographic impact of Bin Pu'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 Bin Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Pu more than expected).
Fields of papers citing papers by Bin Pu
This network shows the impact of papers produced by Bin Pu. 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 Bin Pu. The network helps show where Bin Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Pu, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT Hit paper breakdown → | 2021 | 178 |
| 2 | 2020 | 66 | |
| 3 | 2022 | 65 | |
| 4 | 2022 | 63 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 35 | |
| 7 | 2019 | 33 | |
| 8 | 2023 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2022 | 26 | |
| 11 | 2020 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2024 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2017 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2020 | 10 |
About Bin Pu
Bin Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Pediatrics, Perinatology and Child Health, Health Information Management and Signal Processing, having authored 52 papers that have together received 813 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Neural Network Applications (7 papers), AI in cancer detection (7 papers), Adversarial Robustness in Machine Learning (4 papers), Artificial Intelligence in Healthcare (4 papers), Neonatal and fetal brain pathology (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Health Informatics (36 citations), Pediatrics, Perinatology and Child Health (148 citations), Artificial Intelligence (289 citations), Computer Vision and Pattern Recognition (152 citations) and Health Information Management (27 citations). Bin Pu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Kenli Li, Ningbo Zhu, Jianguo Chen, Shengli Li, Yan Kang, Philip S. Yu, Guanghua Tan, Wei Wei, Xuekun Yang and Xiangke Liao. Their work appears in journals such as Information Fusion, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Computational Biology and Bioinformatics, Future Generation Computer Systems and Neural Computing and Applications.
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.