Mingyu Yang

26 papers receiving 428 citations

Peers

Mingyu Yang
Comparison fields: 5 of 70
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 119
  • Signal Processing 51
  • Computer Networks and Communications 96
  • Artificial Intelligence 133
Replace Debashri Roy with:
Debashri Roy United States
Sunav Choudhary United States
Jiasong Mu China
Yiwei Lu China
Mingxing Duan China
Huaji Zhou China
Benjamin K. Ng Macao
Osamu Saotome Brazil
Yanliang Jin China
Yasmine Abouelseoud Egypt
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Citations per year

Countries citing papers authored by Mingyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022110
2 2022104
3 202166
4 200928
5 202125
6
[Clinical research of hemiprosthesis arthroplasty for the treatment of unstable intertrochanteric fractures in elderly patients].
200518
7 201912
8 20248
9 20208
10 20218
11 20197
12 20206
13 20215
14 20224
15 20224
16 20253
17 20233
18 20223
19 20233
20 20242

About Mingyu Yang

Mingyu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Signal Processing, having authored 28 papers that have together received 436 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (3 papers), Advanced Data Compression Techniques (3 papers), Wireless Signal Modulation Classification (3 papers), Speech and Audio Processing (3 papers), Insect Pheromone Research and Control (2 papers), Underwater Vehicles and Communication Systems (2 papers), Wave and Wind Energy Systems (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (119 citations), Signal Processing (51 citations), Computer Networks and Communications (96 citations) and Artificial Intelligence (133 citations). Mingyu Yang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Hun-Seok Kim, Chenghong Bian, S. Roth, Vishnu R. Desaraju, Wenle Li, Domitilla Del Vecchio, Qiang Lin, Eng Guan Tay, Tingting Fan and Bo Kyu Yang. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, Quantum Information Processing, Frontiers in Medicine, Mobile Networks and Applications and Ocean Engineering.

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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