Fangyuan Qu

564 total citations
7 papers, 437 citations indexed

About

Fangyuan Qu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Fangyuan Qu has authored 7 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Fangyuan Qu's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Tuberous Sclerosis Complex Research (1 paper). Fangyuan Qu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Tuberous Sclerosis Complex Research (1 paper). Fangyuan Qu collaborates with scholars based in China and United States. Fangyuan Qu's co-authors include Zhaoxiang Ye, Robert J. Gillies, Ying Liu, Jongphil Kim, Yoganand Balagurunathan, Ying Liu, Hua Wang, Run-Fen Cheng, Qian Li and Hugo J.W.L. Aerts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Radiology.

In The Last Decade

Fangyuan Qu

7 papers receiving 434 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fangyuan Qu China 6 351 281 68 60 45 7 437
C. Balleyguier France 9 134 0.4× 212 0.8× 37 0.5× 62 1.0× 59 1.3× 16 340
M.V. Villas Spain 5 436 1.2× 179 0.6× 82 1.2× 197 3.3× 14 0.3× 6 503
Lifen Yan China 8 356 1.0× 167 0.6× 99 1.5× 39 0.7× 15 0.3× 14 428
Benjapa Khiewvan Thailand 9 182 0.5× 135 0.5× 50 0.7× 16 0.3× 52 1.2× 17 350
Kenneth J. Biehl United States 4 292 0.8× 118 0.4× 33 0.5× 28 0.5× 24 0.5× 5 442
Mi‐Hyun Kim South Korea 15 277 0.8× 511 1.8× 44 0.6× 36 0.6× 31 0.7× 32 637
Benjamin Taylor United Kingdom 9 253 0.7× 91 0.3× 113 1.7× 59 1.0× 8 0.2× 12 317
Ana Maria Samanes Gajate Italy 12 191 0.5× 234 0.8× 64 0.9× 11 0.2× 50 1.1× 31 412
Jacques-Antoine Maisonobe France 5 350 1.0× 105 0.4× 52 0.8× 92 1.5× 7 0.2× 10 369
Ruta Zukauskaite Denmark 13 204 0.6× 206 0.7× 50 0.7× 27 0.5× 9 0.2× 31 426

Countries citing papers authored by Fangyuan Qu

Since Specialization
Citations

This map shows the geographic impact of Fangyuan Qu'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 Fangyuan Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangyuan Qu more than expected).

Fields of papers citing papers by Fangyuan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fangyuan Qu. 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 Fangyuan Qu. The network helps show where Fangyuan Qu may publish in the future.

Co-authorship network of co-authors of Fangyuan Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyuan Qu. A scholar is included among the top collaborators of Fangyuan Qu 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 Fangyuan Qu. Fangyuan Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Paraiso, Kitt, Li Wang, Ian Rees Jones, et al.. (2024). A conserved molecular logic for neurogenesis to gliogenesis switch in the cerebral cortex. Proceedings of the National Academy of Sciences. 121(20). e2321711121–e2321711121. 5 indexed citations
2.
Liu, Ying, Jongphil Kim, Yoganand Balagurunathan, et al.. (2018). Prediction of pathological nodal involvement by CT‐based Radiomic features of the primary tumor in patients with clinically node‐negative peripheral lung adenocarcinomas. Medical Physics. 45(6). 2518–2526. 30 indexed citations
3.
Liu, Ying, Yuwei Zhang, Run-Fen Cheng, et al.. (2018). Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation. Journal of Magnetic Resonance Imaging. 49(1). 280–290. 85 indexed citations
4.
Yip, Stephen, Ying Liu, Chintan Parmar, et al.. (2017). Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer. Scientific Reports. 7(1). 3519–3519. 82 indexed citations
5.
6.
Liu, Ying, Jongphil Kim, Fangyuan Qu, et al.. (2016). CT Features Associated with Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma. Radiology. 280(1). 271–280. 182 indexed citations
7.
Liu, Ying, Fangyuan Qu, Run-Fen Cheng, & Zhaoxiang Ye. (2015). CT-imaging features of renal epithelioid angiomyolipoma. World Journal of Surgical Oncology. 13(1). 20 indexed citations

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.

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2026