Ming Yu

1.8k total citations
58 papers, 1.2k citations indexed

About

Ming Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Ming Yu has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Biomedical Engineering. Recurrent topics in Ming Yu's work include Cardiac Imaging and Diagnostics (15 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced MRI Techniques and Applications (10 papers). Ming Yu is often cited by papers focused on Cardiac Imaging and Diagnostics (15 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced MRI Techniques and Applications (10 papers). Ming Yu collaborates with scholars based in China, United States and Germany. Ming Yu's co-authors include Simon P. Robinson, David S. Casebier, Jimmie C. Oxley, James L. Smith, Stephan G. Nekolla, Mikhail Kagan, Michael Azure, Markus Schwaiger, Heike Radeke and Ajay Purohit and has published in prestigious journals such as Circulation, Journal of Medicinal Chemistry and IEEE Access.

In The Last Decade

Ming Yu

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yu China 18 700 233 170 121 104 58 1.2k
Yanjie Zhu China 26 901 1.3× 170 0.7× 191 1.1× 265 2.2× 174 1.7× 156 1.9k
Guanglei Zhang China 26 841 1.2× 189 0.8× 170 1.0× 981 8.1× 61 0.6× 116 1.9k
Jarmo Teuho Finland 16 348 0.5× 136 0.6× 51 0.3× 145 1.2× 81 0.8× 84 1.2k
Jérôme Declerck United Kingdom 24 1.0k 1.5× 465 2.0× 22 0.1× 299 2.5× 132 1.3× 69 1.8k
Jinfeng Xu China 17 283 0.4× 140 0.6× 92 0.5× 237 2.0× 141 1.4× 124 983
Jucheng Zhang China 16 132 0.2× 136 0.6× 73 0.4× 101 0.8× 33 0.3× 81 818
Toshihiro Nishimura Japan 16 124 0.2× 283 1.2× 18 0.1× 237 2.0× 121 1.2× 135 1.2k
Xing Lü China 21 408 0.6× 39 0.2× 129 0.8× 212 1.8× 138 1.3× 57 991
Robert C. Molthen United States 24 683 1.0× 245 1.1× 12 0.1× 445 3.7× 223 2.1× 59 1.4k
Sheng‐Wen Huang China 20 233 0.3× 76 0.3× 144 0.8× 516 4.3× 43 0.4× 93 1.2k

Countries citing papers authored by Ming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming 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 Ming Yu. Ming Yu 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.
Chen, Wei, et al.. (2025). Research on Robust Measurement Method of Heart Rate Using Remote Photoplethysmography Based on Adversarial Learning Network With High and Low Frequency Features. IEEE Transactions on Circuits and Systems for Video Technology. 35(6). 5208–5222.
2.
Yu, Ming, et al.. (2025). Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke. Cardiovascular Diabetology. 24(1). 91–91. 3 indexed citations
3.
Chen, Fangfang, et al.. (2025). Surgical tool detection in open surgery based on improved-YOLOv8. Biomedical Signal Processing and Control. 105. 107548–107548.
4.
Li, Qinwei, Xiaoguang Lu, Yang Zhao, et al.. (2024). Classification and Location of Cerebral Hemorrhage Points Based on SEM and SSA-GA-BP Neural Network. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 4 indexed citations
5.
Liu, Yu, Yingchun Guo, Ye Zhu, & Ming Yu. (2024). Adaptive similarity-guided self-merging network for few-shot semantic segmentation. Computers & Electrical Engineering. 119. 109527–109527. 1 indexed citations
6.
Li, Qinwei, et al.. (2024). Spatiotemporal Sensitive Network for Non-Contact Heart Rate Prediction from Facial Videos. Applied Sciences. 14(20). 9551–9551. 1 indexed citations
7.
Zhao, Zixian, et al.. (2024). Research on workflow recognition for liver rupture repair surgery. Mathematical Biosciences & Engineering. 21(2). 1844–1856. 1 indexed citations
8.
Hao, Xiaoke, et al.. (2022). Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis. Frontiers in Neuroscience. 16. 1046268–1046268. 10 indexed citations
10.
Dong, Yi, Yanxia Wang, Lihong Zhao, et al.. (2021). Effect of Ginkgolide in Ischemic Stroke patients with large Artery Atherosclerosis: Results from a randomized trial. CNS Neuroscience & Therapeutics. 27(12). 1561–1569. 20 indexed citations
11.
Ma, Chenguang, et al.. (2019). Potential biomarkers of acute myocardial infarction based on weighted gene co-expression network analysis. BioMedical Engineering OnLine. 18(1). 9–9. 26 indexed citations
12.
Higuchi, Takahiro, Behrooz H. Yousefi, Sybille Reder, et al.. (2015). Myocardial Kinetics of a Novel [18F]-Labeled Sympathetic Nerve PET Tracer LMI1195 in the Isolated Perfused Rabbit Heart. JACC. Cardiovascular imaging. 8(10). 1229–1231. 16 indexed citations
13.
Higuchi, Takahiro, Behrooz H. Yousefi, Florian Gärtner, et al.. (2013). Assessment of the 18F-Labeled PET Tracer LMI1195 for Imaging Norepinephrine Handling in Rat Hearts. Journal of Nuclear Medicine. 54(7). 1142–1146. 35 indexed citations
14.
Yu, Ming, et al.. (2012). LMI1195 PET imaging in evaluation of regional cardiac sympathetic denervation and its potential role in antiarrhythmic drug treatment. European Journal of Nuclear Medicine and Molecular Imaging. 39(12). 1910–1919. 19 indexed citations
15.
Yu, Ming, Stephan G. Nekolla, Markus Schwaiger, & Simon P. Robinson. (2011). The Next Generation of Cardiac Positron Emission Tomography Imaging Agents: Discovery of Flurpiridaz F-18 for Detection of Coronary Disease. Seminars in Nuclear Medicine. 41(4). 305–313. 47 indexed citations
16.
Yu, Ming, et al.. (2011). Modeling and simulation of the communication networks in Smart grid. 2658–2663. 10 indexed citations
17.
Yu, Ming, et al.. (2010). Cardiac imaging and safety evaluation of BMS747158, a novel PET myocardial perfusion imaging agent, in chronic myocardial compromised rabbits. Journal of Nuclear Cardiology. 17(4). 631–636. 19 indexed citations
18.
Yu, Ming, Mary Guaraldi, Mikhail Kagan, et al.. (2009). Effects of food intake and anesthetic on cardiac imaging and uptake of BMS747158-02 in comparison with FDG. Journal of Nuclear Cardiology. 16(5). 763–768. 7 indexed citations
19.
Purohit, Ajay, Mary Guaraldi, Mikhail Kagan, et al.. (2007). Quinazoline derivatives as MC-I inhibitors: Evaluation of myocardial uptake using Positron Emission Tomography in rat and non-human primate. Bioorganic & Medicinal Chemistry Letters. 17(17). 4882–4885. 15 indexed citations
20.
Oxley, Jimmie C., et al.. (2002). Ammonium nitrate: thermal stability and explosivity modifiers. Thermochimica Acta. 384(1-2). 23–45. 167 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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