Haixian Zhang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computational Mechanics
- Media Technology top 10%
- Co-authors
- Xi PengYi ZhangChunhua ShenHongyuan ZhuHan WangJiashi FengJoey Tianyi ZhouYuhang Liu
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Face and Expression Recognition (7 papers)Medical Image Segmentation Techniques (6 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingJournal of Medical Internet Research
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haixian Zhang
32 papers receiving 389 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 206
- Artificial Intelligence 150
- Radiology, Nuclear Medicine and Imaging 75
- Computational Mechanics 51
- Media Technology 42
Countries citing papers authored by Haixian Zhang
This map shows the geographic impact of Haixian Zhang'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 Haixian Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixian Zhang more than expected).
Fields of papers citing papers by Haixian Zhang
This network shows the impact of papers produced by Haixian Zhang. 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 Haixian Zhang. The network helps show where Haixian Zhang may publish in the future.
Co-authorship network of co-authors of Haixian Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Haixian Zhang. A scholar is included among the top collaborators of Haixian Zhang 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 Haixian Zhang. Haixian Zhang 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 | 8 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 79 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | The Vulnerability Evaluation Model of Power Grid Based on the Protection-vulnerability-weighted Topological Model | 4 |
| 20 | 0 |
About Haixian Zhang
Haixian Zhang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 35 papers that have together received 397 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Face and Expression Recognition (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Computational Mathematics (4 citations) and Media Technology (42 citations). Haixian Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xi Peng, Yi Zhang, Chunhua Shen, Hongyuan Zhu, Han Wang, Jiashi Feng, Joey Tianyi Zhou, Yuhang Liu, Jie Chen and Hua Mao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Journal of Medical Internet Research.
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.