Chu Han
Impact in
-
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Computational Mathematics top 10%
Papers in
-
- Digital Imaging for Blood Diseases 10
- Advanced Image and Video Retrieval Techniques 7
- Image Enhancement Techniques 6
- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 5
-
- Radiomics and Machine Learning in Medical Imaging 32
- Co-authors
- Zaiyi Liu (42 shared papers)Guoqiang Han (19 shared papers)Xipeng Pan (20 shared papers)Zhenwei Shi (25 shared papers)Zeyan Xu (18 shared papers)Jing Qin (7 shared papers)Shengfeng He (11 shared papers)Changhong Liang (14 shared papers)
- Journals
- Medical Image Analysis (5 papers)Neurocomputing (4 papers)IEEE Transactions on Medical Imaging (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Chu Han
62 papers receiving 1.4k citations
Chu Han's Hit Papers
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 637
- Computational Mathematics 15
- Radiology, Nuclear Medicine and Imaging 543
- Artificial Intelligence 563
- Neurology 133
Countries citing papers authored by Chu Han
This map shows the geographic impact of Chu Han'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 Chu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chu Han more than expected).
Fields of papers citing papers by Chu Han
This network shows the impact of papers produced by Chu Han. 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 Chu Han. The network helps show where Chu Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Chu Han, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer Hit paper breakdown → | 2023 | 112 |
| 2 | CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation Hit paper breakdown → | 2023 | 103 |
| 3 | 2020 | 102 | |
| 4 | 2017 | 80 | |
| 5 | 2021 | 79 | |
| 6 | 2023 | 72 | |
| 7 | 2022 | 68 | |
| 8 | 2023 | 56 | |
| 9 | 2018 | 53 | |
| 10 | 2021 | 41 | |
| 11 | 2022 | 39 | |
| 12 | 2020 | 38 | |
| 13 | 2023 | 37 | |
| 14 | 2019 | 36 | |
| 15 | 2022 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2022 | 30 | |
| 18 | 2022 | 27 | |
| 19 | 2021 | 24 | |
| 20 | 2023 | 23 |
About Chu Han
Chu Han is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology and Biomedical Engineering, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), AI in cancer detection (27 papers), Digital Imaging for Blood Diseases (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Image Enhancement Techniques (6 papers), Advanced Neural Network Applications (5 papers), Colorectal Cancer Surgical Treatments (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (637 citations), Computational Mathematics (15 citations), Radiology, Nuclear Medicine and Imaging (543 citations), Artificial Intelligence (563 citations) and Neurology (133 citations). Chu Han has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include Zaiyi Liu, Guoqiang Han, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Jing Qin, Shengfeng He, Changhong Liang, Bingchao Zhao and Huan Lin. Their work appears in journals such as Medical Image Analysis, Neurocomputing, IEEE Transactions on Medical Imaging, IEEE Transactions on Neural Networks and Learning Systems and Expert Systems with 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.