Junqing Yang

43 papers receiving 1.2k citations

Hit Papers

Diagnostic Accuracy of Angiography-Based Quantitative Flow Ratio Measurements for Online Assessment of Coronary Stenosis 2017 · 348 citations
3480+3+6Years since publication100200300

Peers

Junqing Yang
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 753
  • Cardiology and Cardiovascular Medicine 667
  • Surgery 906
  • Pulmonary and Respiratory Medicine 216
  • Cellular and Molecular Neuroscience 85
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Sandra B. Simon United States
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Raoul M. S. Joemai Netherlands
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Suiren Wan China
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Countries citing papers authored by Junqing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junqing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junqing Yang Line = papers co-authored together Junqing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography
Hit paper breakdown →
2016388
2
Diagnostic Accuracy of Angiography-Based Quantitative Flow Ratio Measurements for Online Assessment of Coronary Stenosis
Hit paper breakdown →
2017348
3 200970
4 201450
5 200944
6 201532
7 200923
8 201922
9 202121
10 201718
11 201717
12 201615
13 201713
14 201213
15 201213
16 201913
17 201812
18 201511
19 20239
20 20218

About Junqing Yang

Junqing Yang is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (12 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (5 papers), Acute Myocardial Infarction Research (5 papers), Acute Kidney Injury Research (4 papers), Cerebrovascular and Carotid Artery Diseases (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (753 citations), Cardiology and Cardiovascular Medicine (667 citations), Surgery (906 citations), Pulmonary and Respiratory Medicine (216 citations) and Cellular and Molecular Neuroscience (85 citations). Junqing Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Shengxian Tu, Niels Ramsing Holm, William Wijns, Alexandra J. Lansky, Jelmer Westra, Mariano Pellicano, Clemens von Birgelen, Matteo Tebaldi, Holger Nef and Liefke C. van der Heijden. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, Measurement, International Journal of Cardiology and Cell and Tissue 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.

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