Mingyan Wang

1.6k citations
104 papers · 1.3k · h-index 19

Impact in

Papers in

Mingyan Wang

100 papers receiving 1.2k citations

Peers

Mingyan Wang
Comparison fields: 5 of 149
  • Control and Systems Engineering 177
  • Automotive Engineering 89
  • Electrical and Electronic Engineering 395
  • Biochemistry 33
  • Complementary and alternative medicine 39
Replace Ankit Bansal with:
Ankit Bansal India
Yuxuan Zhao China
Carl‐Fredrik Mandenius Sweden
Yuping Liu China
Eunhye Kim South Korea
Jinjie Zhang China
Simin Chen China
Zhenyu Yu China
Jiaqi Liu China
Mingyan Wang relative to Ankit Bansal India Ankit Bansal's profile →
Citations per field
00.5×2×3×4×4.8×
Ankit Bansal · 1×
Citations per year

Countries citing papers authored by Mingyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012121
2 201973
3 201261
4 200858
5 201453
6 198951
7 201746
8 202041
9 201038
10 202133
11 200933
12 201629
13 201027
14 202427
15 201022
16 200420
17 201720
18 201520
19 201320
20 201419

About Mingyan Wang

Mingyan Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Electrochemistry, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (14 papers), Multilevel Inverters and Converters (13 papers), Advanced Algorithms and Applications (8 papers), Microgrid Control and Optimization (8 papers), Industrial Technology and Control Systems (5 papers), Face and Expression Recognition (5 papers), Electrochemical sensors and biosensors (5 papers) and Silicon Carbide Semiconductor Technologies (5 papers). The work is most often cited by research in Control and Systems Engineering (177 citations), Automotive Engineering (89 citations), Electrical and Electronic Engineering (395 citations), Biochemistry (33 citations) and Complementary and alternative medicine (39 citations). Mingyan Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuang Liu, Jih‐Sheng Lai, Guowei Cai, Pengwei Sun, Chien-Liang Chen, Yanchao Ji, Baochang Cai, Kai Tian, Xia Ding and Volker Schmidt. Their work appears in journals such as Animals, Fuzzy Sets and Systems, IEEE Transactions on Industrial Electronics, IEEE Access and Materials Letters.

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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