Bojian Hou
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Ophthalmology
- Co-authors
- Zhi‐Hua ZhouLijun ZhangPeng ZhaoMingquan LinYifan PengLei LiuYi HeMichael A. Kass
- Topics
- Machine Learning in Healthcare (6 papers)Data Stream Mining Techniques (5 papers)Machine Learning and Data Classification (4 papers)
- Journals
- Scientific ReportsIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- United StatesChinaPoland
In The Last Decade
Bojian Hou
21 papers receiving 214 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 136
- Radiology, Nuclear Medicine and Imaging 39
- Computer Vision and Pattern Recognition 37
- Management Science and Operations Research 26
- Ophthalmology 20
Countries citing papers authored by Bojian Hou
This map shows the geographic impact of Bojian Hou'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 Bojian Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bojian Hou more than expected).
Fields of papers citing papers by Bojian Hou
This network shows the impact of papers produced by Bojian Hou. 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 Bojian Hou. The network helps show where Bojian Hou may publish in the future.
Co-authorship network of co-authors of Bojian Hou
This figure shows the co-authorship network connecting the top 25 collaborators of Bojian Hou. A scholar is included among the top collaborators of Bojian Hou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bojian Hou. Bojian Hou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge. | 1 |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | Fairness-Aware Class Imbalanced Learning on Multiple Subgroups. | 3 |
| 15 | 0 | |
| 16 | 28 | |
| 17 | 19 | |
| 18 | 28 | |
| 19 | 64 | |
| 20 | Learning with Interpretable Structure from RNN. | 11 |
About Bojian Hou
Bojian Hou is a scholar working on Computational Mathematics, Artificial Intelligence and Health Information Management, having authored 29 papers that have together received 220 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Data Stream Mining Techniques (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (136 citations) and Ophthalmology (20 citations). Bojian Hou has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Zhi‐Hua Zhou, Lijun Zhang, Peng Zhao, Mingquan Lin, Yifan Peng, Lei Liu, Yi He, Michael A. Kass, Fei Wang and Mae O. Gordon. Their work appears in journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.