Changhao Sun
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 2%
- Oncology
- Media Technology top 5%
- Co-authors
- Chen LiMarcin GrzegorzekMd Mamunur RahamanHongzan SunHaoyuan ChenWeiming HuTao JiangWanli Liu
- Topics
- AI in cancer detection (16 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Image Retrieval and Classification Techniques (6 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Changhao Sun
23 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 639
- Radiology, Nuclear Medicine and Imaging 423
- Computer Vision and Pattern Recognition 405
- Oncology 134
- Media Technology 118
Countries citing papers authored by Changhao Sun
This map shows the geographic impact of Changhao Sun'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 Changhao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changhao Sun more than expected).
Fields of papers citing papers by Changhao Sun
This network shows the impact of papers produced by Changhao Sun. 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 Changhao Sun. The network helps show where Changhao Sun may publish in the future.
Co-authorship network of co-authors of Changhao Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Changhao Sun. A scholar is included among the top collaborators of Changhao Sun 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 Changhao Sun. Changhao Sun 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 | 5 | |
| 3 | 5 | |
| 4 | 67 | |
| 5 | 101 | |
| 6 | 21 | |
| 7 | GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detectionbreakdown → | 177 |
| 8 | 12 | |
| 9 | CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptronbreakdown → | 131 |
| 10 | 54 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentationbreakdown → | 174 |
| 14 | 20 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 9 | |
| 19 | 44 | |
| 20 | 33 |
About Changhao Sun
Changhao Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (639 citations), Computer Vision and Pattern Recognition (405 citations) and Radiology, Nuclear Medicine and Imaging (423 citations). Changhao Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Hongzan Sun, Haoyuan Chen, Weiming Hu, Tao Jiang, Wanli Liu, Yudong Yao and Shiliang Ai. Their work appears in journals such as IEEE Access, Pattern Recognition and Remote Sensing.
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.