Zuojin Hu
- Health Informatics top 10%
-
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 3
- Face and Expression Recognition 3
-
- COVID-19 diagnosis using AI 4
- Radiomics and Machine Learning in Medical Imaging 2
-
- AI in cancer detection 3
-
- Brain Tumor Detection and Classification 4
-
- Hand Gesture Recognition Systems 4
- Co-authors
- Yudong ZhangShuihua WangXiaoyan JiangWai Keung WongYan CuiJielin JiangZhihui LaiG. N. Vivekananda
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (1 paper)Pattern Recognition (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zuojin Hu
17 papers receiving 208 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 16
- Computer Vision and Pattern Recognition 65
- Radiology, Nuclear Medicine and Imaging 68
- Artificial Intelligence 81
- Neurology 20
Countries citing papers authored by Zuojin Hu
This map shows the geographic impact of Zuojin Hu'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 Zuojin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuojin Hu more than expected).
Fields of papers citing papers by Zuojin Hu
This network shows the impact of papers produced by Zuojin Hu. 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 Zuojin Hu. The network helps show where Zuojin Hu may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Zuojin Hu, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 13 | |
| 4 | Deep Learning for Medical Image-Based Cancer Diagnosisbreakdown → | 2023 | 121 |
| 5 | 2022 | 1 | |
| 6 | 2022 | 0 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 1 | |
| 9 | Multimedia Educational System and Its Improvement Using AI Model for a Higher Education Platform. | 2021 | 3 |
| 10 | 2020 | 18 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 6 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 2 | |
| 18 | 2015 | 6 | |
| 19 | VPRS model and its knowledge reduction in fuzzy objective information systems | 2007 | 1 |
About Zuojin Hu
Zuojin Hu is a scholar working on Health Informatics, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 217 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), COVID-19 diagnosis using AI (4 papers), Hand Gesture Recognition Systems (4 papers), AI in cancer detection (3 papers), Human Pose and Action Recognition (3 papers), Face and Expression Recognition (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Vision and Pattern Recognition (65 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). Zuojin Hu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yudong Zhang, Shuihua Wang, Xiaoyan Jiang, Wai Keung Wong, Yan Cui, Jielin Jiang, Zhihui Lai, Xiaoyan Jiang, Xiaoyan Jiang and G. N. Vivekananda. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.
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.