Xiao Han
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 5%
- Oncology top 10%
- Electrical and Electronic Engineering
- Co-authors
- Sen YangXiyue WangJun ZhangMinghui WangJunzhou HuangWei YangJing ZhangJianhua Yao
- Topics
- AI in cancer detection (23 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Advanced Neural Network Applications (9 papers)
- Journals
- Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaBlood
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiao Han
131 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 738
- Radiology, Nuclear Medicine and Imaging 660
- Computer Vision and Pattern Recognition 350
- Oncology 251
- Electrical and Electronic Engineering 236
Countries citing papers authored by Xiao Han
This map shows the geographic impact of Xiao 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 Xiao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Han more than expected).
Fields of papers citing papers by Xiao Han
This network shows the impact of papers produced by Xiao 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 Xiao Han. The network helps show where Xiao Han may publish in the future.
Co-authorship network of co-authors of Xiao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Han. A scholar is included among the top collaborators of Xiao Han 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 Xiao Han. Xiao Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 63 | |
| 15 | 20 | |
| 16 | 33 | |
| 17 | 31 | |
| 18 | Downregulation of circNRIP1 Suppresses the Paclitaxel Resistance of Ovarian Cancer via Regulating the miR-211-5p/HOXC8 Axis | 3 |
| 19 | 25 | |
| 20 | Analysis on the Ratio of Flesh Content and Nutritional Quality of Esox lucius | 1 |
About Xiao Han
Xiao Han is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 145 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI in cancer detection (23 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Health Informatics (80 citations), Radiology, Nuclear Medicine and Imaging (660 citations) and Artificial Intelligence (738 citations). Xiao Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sen Yang, Xiyue Wang, Jun Zhang, Minghui Wang, Junzhou Huang, Wei Yang, Jing Zhang, Jing Zhang, Jianhua Yao and Chenxi Li. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Blood.
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.