Junqing Yang

2.0k total citations · 2 hit papers
45 papers, 1.2k citations indexed

About

Junqing Yang is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Junqing Yang has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Junqing Yang's work include Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (12 papers) and Neuroscience and Neural Engineering (6 papers). Junqing Yang is often cited by papers focused on Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (12 papers) and Neuroscience and Neural Engineering (6 papers). Junqing Yang collaborates with scholars based in China, United States and Denmark. Junqing Yang's co-authors include Shengxian Tu, Niels Ramsing Holm, William Wijns, Alexandra J. Lansky, Jelmer Westra, Clemens von Birgelen, Matteo Tebaldi, Liefke C. van der Heijden, Emanuele Barbato and Angela Ferrara and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Junqing Yang

43 papers receiving 1.2k citations

Hit Papers

Diagnostic Accuracy of Fast Computational Approaches to D... 2016 2026 2019 2022 2016 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqing Yang China 14 906 753 667 216 86 45 1.2k
Sandra B. Simon United States 8 379 0.4× 387 0.5× 298 0.4× 109 0.5× 69 0.8× 11 646
Gal Hayam Israel 15 226 0.2× 501 0.7× 1.2k 1.7× 52 0.2× 109 1.3× 31 1.7k
Andreu M. Climent Spain 21 116 0.1× 148 0.2× 915 1.4× 26 0.1× 84 1.0× 115 1.1k
Suiren Wan China 14 102 0.1× 196 0.3× 97 0.1× 73 0.3× 159 1.8× 31 779
Raoul M. S. Joemai Netherlands 18 81 0.1× 544 0.7× 79 0.1× 72 0.3× 427 5.0× 34 875
Marija Vukicevic United States 15 418 0.5× 86 0.1× 346 0.5× 127 0.6× 411 4.8× 38 1.1k
Jinhyoung Park South Korea 14 198 0.2× 394 0.5× 165 0.2× 36 0.2× 235 2.7× 37 718
Vicky Y. Wang United States 12 136 0.2× 122 0.2× 392 0.6× 25 0.1× 254 3.0× 36 605
Axel Boese Germany 13 121 0.1× 93 0.1× 59 0.1× 208 1.0× 174 2.0× 99 610
Sandro Queirós Portugal 17 92 0.1× 305 0.4× 251 0.4× 86 0.4× 208 2.4× 70 940

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-authorship network of co-authors of Junqing Yang

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

All Works

20 of 20 papers shown
1.
Li, Chenguang, et al.. (2025). Prognostic value of angiography-derived microcirculatory resistance in patients undergoing rotational atherectomy- a multi-center study. International Journal of Cardiology. 434. 133322–133322. 2 indexed citations
2.
Li, Guoyan, et al.. (2024). MLFF-InternImage: Pavement crack semantic segmentation model integrating multi-level fusion features. Measurement. 241. 115686–115686. 4 indexed citations
3.
7.
Li, Mingmin, Shuang Xia, Lan Xu, et al.. (2021). Genetic analysis using targeted next-generation sequencing of sporadic Chinese patients with idiopathic dilated cardiomyopathy. Journal of Translational Medicine. 19(1). 189–189. 8 indexed citations
8.
Du, Haiyan, Wei Yu, Peng Wu, et al.. (2021). Convolutional networks for the segmentation of intravascular ultrasound images: Evaluation on a multicenter dataset. Computer Methods and Programs in Biomedicine. 215. 106599–106599. 21 indexed citations
10.
Ding, Daixin, Junqing Yang, Jelmer Westra, et al.. (2019). Accuracy of 3-dimensional and 2-dimensional quantitative coronary angiography for predicting physiological significance of coronary stenosis: a FAVOR II substudy. Cardiovascular Diagnosis and Therapy. 9(5). 481–491. 7 indexed citations
11.
Kong, Fanna, Junqing Yang, Na Li, Hailong Zhao, & Yunxiang Mao. (2017). Identification and characterization of PyAQPs from Pyropia yezoensis, which are involved in tolerance to abiotic stress. Journal of Applied Phycology. 29(3). 1695–1706. 4 indexed citations
12.
He, Xuyu, Junqing Yang, Liwen Li, et al.. (2017). Atorvastatin protects against contrast-induced nephropathy via anti-apoptosis by the upregulation of Hsp27 in vivo and in vitro. Molecular Medicine Reports. 15(4). 1963–1972. 18 indexed citations
13.
Chu, Miao, Neng Dai, Junqing Yang, Jelmer Westra, & Shengxian Tu. (2017). A systematic review of imaging anatomy in predicting functional significance of coronary stenoses determined by fractional flow reserve. International journal of cardiac imaging. 33(7). 975–990. 17 indexed citations
14.
Tu, Shengxian, Jelmer Westra, Junqing Yang, et al.. (2016). Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography. JACC: Cardiovascular Interventions. 9(19). 2024–2035. 388 indexed citations breakdown →
15.
Wang, Hui, Ruituo Huai, Junqing Yang, & Yanchun Li. (2016). Modification of Hypoxic Respiratory Response by Protein Tyrosine Kinase in Brainstem Ventral Respiratory Neuron Group. PLoS ONE. 11(10). e0165895–e0165895. 2 indexed citations
16.
Huai, Ruituo, Junqing Yang, & Hui Wang. (2016). The robo-pigeon based on the multiple brain regions synchronization implanted microelectrodes. Bioengineered. 7(4). 213–218. 15 indexed citations
17.
Yang, Junqing, et al.. (2015). A robo-pigeon based on an innovative multi-mode telestimulation system. Bio-Medical Materials and Engineering. 26(1_suppl). S357–63. 32 indexed citations
18.
Xie, Yong, Gary S. Mintz, Junqing Yang, et al.. (2014). Clinical Outcome of Nonculprit Plaque Ruptures in Patients With Acute Coronary Syndrome in the PROSPECT Study. JACC. Cardiovascular imaging. 7(4). 397–405. 50 indexed citations
19.
Tsujita, Kenichi, Akiko Maehara, Gary S. Mintz, et al.. (2010). Serial Intravascular Ultrasound Analysis of the Impact of Myocardial Bridge on Neointimal Proliferation After Coronary Stenting in Patients with Acute Myocardial Infarction. Journal of Interventional Cardiology. 23(2). 114–122. 8 indexed citations
20.
Tsujita, Kenichi, Akiko Maehara, Gary S. Mintz, et al.. (2009). Impact of Myocardial Bridge on Clinical Outcome After Coronary Stent Placement. The American Journal of Cardiology. 103(10). 1344–1348. 44 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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