Fucang Jia
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 23
- Advanced Neural Network Applications 8
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- Medical Imaging and Analysis 9
- Co-authors
- Qingmao Hu (28 shared papers)Li Wen (1 shared paper)Baochun He (19 shared papers)Jianhuang Wu (11 shared papers)Chihua Fang (16 shared papers)Jing Qin (2 shared papers)Huoling Luo (18 shared papers)Yuhong Li (2 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (8 papers)Frontiers in Oncology (2 papers)Medical Physics (2 papers)IEEE Access (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Fucang Jia
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 123
- Neurology 261
- Computer Vision and Pattern Recognition 585
- Health Informatics 34
- Radiology, Nuclear Medicine and Imaging 443
- Hepatology 145
Countries citing papers authored by Fucang Jia
This map shows the geographic impact of Fucang Jia'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 Fucang Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fucang Jia more than expected).
Fields of papers citing papers by Fucang Jia
This network shows the impact of papers produced by Fucang Jia. 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 Fucang Jia. The network helps show where Fucang Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Fucang Jia, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 225 | |
| 2 | 2002 | 145 | |
| 3 | 2016 | 95 | |
| 4 | 2015 | 93 | |
| 5 | 2019 | 90 | |
| 6 | 2019 | 80 | |
| 7 | 2019 | 80 | |
| 8 | 2018 | 47 | |
| 9 | 2022 | 45 | |
| 10 | 2011 | 42 | |
| 11 | 2003 | 36 | |
| 12 | 2021 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2014 | 28 | |
| 16 | 2016 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2019 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2017 | 25 |
About Fucang Jia
Fucang Jia is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 94 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Robotics and Sensor-Based Localization (9 papers), Medical Imaging and Analysis (9 papers), Advanced Neural Network Applications (8 papers), Surgical Simulation and Training (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Brain Tumor Detection and Classification (7 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Neurology (261 citations), Computer Vision and Pattern Recognition (585 citations), Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (443 citations) and Hepatology (145 citations). Fucang Jia has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qingmao Hu, Li Wen, Baochun He, Jianhuang Wu, Chihua Fang, Jing Qin, Huoling Luo, Yuhong Li, Ahmed Elazab and Nan Xiang. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Frontiers in Oncology, Medical Physics, IEEE Access and Computers in Biology and Medicine.
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.