Jian Q. Yu
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Abass AlaviHongming ZhuangYan XiuRakesh KumarAmol TakalkarJustin W. KungThiruvenkatasamy DhurairajScott Potenta
- Topics
- Medical Imaging Techniques and Applications (17 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)Lung Cancer Diagnosis and Treatment (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineOtorhinolaryngology
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Jian Q. Yu
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 722
- Pulmonary and Respiratory Medicine 643
- Surgery 469
- Oncology 386
- Cancer Research 228
Countries citing papers authored by Jian Q. Yu
This map shows the geographic impact of Jian Q. Yu'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 Jian Q. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Q. Yu more than expected).
Fields of papers citing papers by Jian Q. Yu
This network shows the impact of papers produced by Jian Q. Yu. 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 Jian Q. Yu. The network helps show where Jian Q. Yu may publish in the future.
Co-authorship network of co-authors of Jian Q. Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Q. Yu. A scholar is included among the top collaborators of Jian Q. Yu 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 Jian Q. Yu. Jian Q. Yu 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 | 1 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 81 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 44 | |
| 14 | 60 | |
| 15 | 56 | |
| 16 | 12 | |
| 17 | 35 | |
| 18 | 35 | |
| 19 | 23 | |
| 20 | 4 |
About Jian Q. Yu
Jian Q. Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Diagnosis and Treatment (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (722 citations), Pulmonary and Respiratory Medicine (643 citations) and Otorhinolaryngology (68 citations). Jian Q. Yu has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Abass Alavi, Hongming Zhuang, Yan Xiu, Rakesh Kumar, Amol Takalkar, Justin W. Kung, Thiruvenkatasamy Dhurairaj, Scott Potenta, Mohan Doss and Tianyu Li. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer 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.