Changfa Qu

11 total papers · 509 total citations
8 papers, 413 citations indexed

About

Changfa Qu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Changfa Qu has authored 8 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Changfa Qu's work include Lung Cancer Diagnosis and Treatment (3 papers), RNA modifications and cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Changfa Qu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (3 papers), RNA modifications and cancer (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Changfa Qu collaborates with scholars based in China, Australia and Macao. Changfa Qu's co-authors include Phoebe A. Phillips, Zhihong Xu, Nicole Parker, Swapna Joshi, Jeremy S. Wilson, David Goldstein, Romano C. Pirola, Minoti V. Apte, Alain Vonlaufen and Xia Li and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Cancer Letters.

In The Last Decade

Changfa Qu

8 papers receiving 410 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Changfa Qu	321	118	115	111	56	8	413
Prabhu Arumugam	291 0.9×	73 0.6×	86 0.7×	131 1.2×	99 1.8×	11	382
Dagmar Eleveld-Trancikova	252 0.8×	199 1.7×	66 0.6×	151 1.4×	43 0.8×	10	464
Daiki Eguchi	235 0.7×	85 0.7×	82 0.7×	140 1.3×	83 1.5×	10	368
Suvendu Das	286 0.9×	143 1.2×	57 0.5×	189 1.7×	37 0.7×	11	456
Chanthirika Ragulan	322 1.0×	148 1.3×	40 0.3×	134 1.2×	90 1.6×	11	409
Müge Sarper	290 0.9×	104 0.9×	93 0.8×	161 1.5×	89 1.6×	7	481
Paul-Yang Lin	227 0.7×	159 1.3×	99 0.9×	124 1.1×	61 1.1×	8	403
David J. Bajor	412 1.3×	139 1.2×	54 0.5×	131 1.2×	107 1.9×	14	487
I.D. Gukas	259 0.8×	64 0.5×	77 0.7×	81 0.7×	149 2.7×	10	489
Melinda Vassallo	226 0.7×	115 1.0×	58 0.5×	108 1.0×	44 0.8×	10	402

Countries citing papers authored by Changfa Qu

Since Specialization

Citations

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

Fields of papers citing papers by Changfa Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changfa Qu

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

All Works

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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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