Jiancheng Yang
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering top 10%
- Co-authors
- Bingbing NiDonglai WeiWenjun ZhangHanspeter PfisterZequan LiuLin ZhaoRui ShiMing Li
- Topics
- Radiomics and Machine Learning in Medical Imaging (20 papers)Lung Cancer Diagnosis and Treatment (15 papers)AI in cancer detection (7 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Jiancheng Yang
58 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 613
- Artificial Intelligence 530
- Computer Vision and Pattern Recognition 473
- Pulmonary and Respiratory Medicine 322
- Biomedical Engineering 312
Countries citing papers authored by Jiancheng Yang
This map shows the geographic impact of Jiancheng Yang'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 Jiancheng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiancheng Yang more than expected).
Fields of papers citing papers by Jiancheng Yang
This network shows the impact of papers produced by Jiancheng Yang. 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 Jiancheng Yang. The network helps show where Jiancheng Yang may publish in the future.
Co-authorship network of co-authors of Jiancheng Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jiancheng Yang. A scholar is included among the top collaborators of Jiancheng Yang 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 Jiancheng Yang. Jiancheng Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | 10 | |
| 17 | 56 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 26 |
About Jiancheng Yang
Jiancheng Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Health Informatics, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Lung Cancer Diagnosis and Treatment (15 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (83 citations), Radiology, Nuclear Medicine and Imaging (613 citations) and Computer Vision and Pattern Recognition (473 citations). Jiancheng Yang has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Bingbing Ni, Donglai Wei, Wenjun Zhang, Hanspeter Pfister, Zequan Liu, Lin Zhao, Rui Shi, Ming Li, Yingli Sun and Jingwei Xu. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.