Ming Yu

1.8k citations
60 papers · 1.3k · h-index 18

Impact in

Papers in

Ming Yu

53 papers receiving 1.2k citations

Peers

Ming Yu
Comparison fields: 5 of 128
  • Radiology, Nuclear Medicine and Imaging 616
  • Cardiology and Cardiovascular Medicine 185
  • Pharmaceutical Science 30
  • Mechanics of Materials 86
  • Materials Chemistry 152
Replace Toshihiro Nishimura with:
Toshihiro Nishimura Japan
Jérôme Declerck United Kingdom
Seied Rabi Mahdavi Iran
Benno H. W. Hendriks Netherlands
Rong Luo China
Jucheng Zhang China
Yanjie Zhu China
Shanshan Tang China
Zhenhe Ma China
Jizhong Liu China
Ming Yu relative to Toshihiro Nishimura Japan Toshihiro Nishimura's profile →
Citations per field
00.5×8.4×
Toshihiro Nishimura · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ming Yu, 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 Ming Yu Line = papers co-authored together Ming Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002168
2 2009155
3 2007114
4 2007112
5 201182
6 201154
7 201149
8 200849
9 200337
10 201336
11 200834
12 200833
13 201927
14 202121
15 201019
16 201219
17 200618
18 201318
19 201317
20 201516

About Ming Yu

Ming Yu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery and Artificial Intelligence, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (9 papers), Advanced Neural Network Applications (5 papers), Surgical Simulation and Training (4 papers), EEG and Brain-Computer Interfaces (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Soft Robotics and Applications (3 papers), Medical Imaging Techniques and Applications (3 papers) and ECG Monitoring and Analysis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (616 citations), Cardiology and Cardiovascular Medicine (185 citations), Pharmaceutical Science (30 citations), Mechanics of Materials (86 citations) and Materials Chemistry (152 citations). Ming Yu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Simon P. Robinson, David S. Casebier, James L. Smith, Mikhail Kagan, Jimmie C. Oxley, Stephan G. Nekolla, Michael Azure, Markus Schwaiger, Heike Radeke and Ajay Purohit. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of Nuclear Medicine, Journal of Intelligent & Fuzzy Systems, Computer Methods and Programs in Biomedicine and Biomedical Signal Processing and Control.

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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