Mingyu Wang

678 citations
75 papers · 427 · h-index 12

Impact in

Papers in

Mingyu Wang

62 papers receiving 415 citations

Peers

Mingyu Wang
Comparison fields: 5 of 90
  • Hardware and Architecture 55
  • Computer Vision and Pattern Recognition 144
  • Computational Mathematics 4
  • Human-Computer Interaction 21
  • Media Technology 31
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Li Du China
Sang-Hoon Kim South Korea
Chaojian Li United States
Zhengang Li United States
Sungpill Choi South Korea
Ayşegül Dündar United States
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Tailin Liang China
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Mingyu Wang relative to Li Du China Li Du's profile →
Citations per field
00.5×2.6×
Li Du · 1×
Citations per year

Countries citing papers authored by Mingyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 202237
3 201930
4 202129
5 201925
6 202123
7 201722
8 201915
9 202115
10 202013
11 199111
12 202011
13 202210
14 202310
15 201810
16 20199
17 20208
18 20188
19 20038
20 20196

About Mingyu Wang

Mingyu Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Hardware and Architecture, having authored 75 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), CCD and CMOS Imaging Sensors (10 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Hardware and Architecture (55 citations), Computer Vision and Pattern Recognition (144 citations), Computational Mathematics (4 citations), Human-Computer Interaction (21 citations) and Media Technology (31 citations). Mingyu Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei He, Kun Wang, Xiaoyang Zeng, Chen Wu, Kun Wang, John G. Georgiadis, Jingjing Liu, Chixiao Chen, Yanjiao Chen and Zhaolin Li. Their work appears in journals such as IEEE Access, IEEE Transactions on Image Processing, IEEE Internet of Things Journal, Numerical Heat Transfer Part B Fundamentals and IEEE Transactions on Circuits and Systems I Regular Papers.

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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