Bochen Guan
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
Papers in
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- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
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- Osteoarthritis Treatment and Mechanisms 3
- Co-authors
- Richard Kijowski (6 shared papers)Ali Guermazi (5 shared papers)Alexey Samsonov (3 shared papers)Fang Liu (3 shared papers)Shadpour Demehri (3 shared papers)Andrew Kanarek (1 shared paper)Zhaoye Zhou (1 shared paper)John Kim (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (3 papers)Radiology Artificial Intelligence (1 paper)Physical review. B. (1 paper)Skeletal Radiology (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Bochen Guan
11 papers receiving 302 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 37
- Rheumatology 99
- Radiology, Nuclear Medicine and Imaging 59
- Surgery 83
- Orthopedics and Sports Medicine 14
Countries citing papers authored by Bochen Guan
This map shows the geographic impact of Bochen Guan'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 Bochen Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bochen Guan more than expected).
Fields of papers citing papers by Bochen Guan
This network shows the impact of papers produced by Bochen Guan. 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 Bochen Guan. The network helps show where Bochen Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bochen Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 120 | |
| 2 | 2021 | 67 | |
| 3 | 2020 | 49 | |
| 4 | 2020 | 16 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 11 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 6 | |
| 9 | 2016 | 6 | |
| 10 | 2019 | 5 | |
| 11 | 2020 | 3 |
About Bochen Guan
Bochen Guan is a scholar working on Computer Vision and Pattern Recognition, Rheumatology, Surgery, Electrical and Electronic Engineering and Internal Medicine, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (3 papers), Image Retrieval and Classification Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Medical Image Segmentation Techniques (1 paper), Semiconductor materials and devices (1 paper) and Knee injuries and reconstruction techniques (1 paper). The work is most often cited by research in Health Informatics (37 citations), Rheumatology (99 citations), Radiology, Nuclear Medicine and Imaging (59 citations), Surgery (83 citations) and Orthopedics and Sports Medicine (14 citations). Bochen Guan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Richard Kijowski, Ali Guermazi, Alexey Samsonov, Fang Liu, Shadpour Demehri, Andrew Kanarek, Zhaoye Zhou, John Kim, Kevin Lian and Humberto G. Rosas. Their work appears in journals such as Osteoarthritis and Cartilage, Radiology Artificial Intelligence, Physical review. B. and Skeletal Radiology.
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.