Hao Yan

1.4k citations
62 papers · 1.1k · h-index 17

Impact in

Papers in

Hao Yan

56 papers receiving 1.1k citations

Peers

Hao Yan
Comparison fields: 5 of 46
  • Control and Systems Engineering 425
  • Electrical and Electronic Engineering 846
  • Media Technology 68
  • Energy Engineering and Power Technology 18
  • Automotive Engineering 66
Replace Hongwen Li with:
Hongwen Li China
D. González Spain
Weijie Tang China
Xiaosheng Liu China
Mingxuan Li China
Xiangqian Tong China
Xinhua Guo China
Shuai Dong China
Fatih Anayi United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Hao Yan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018168
2 2016112
3 202090
4 201779
5 202066
6 202058
7 202249
8 202336
9 201436
10 202135
11 201833
12 202024
13 202122
14 201119
15 202119
16 202217
17 201816
18 201515
19 201613
20 202113

About Hao Yan

Hao Yan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Media Technology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (22 papers), Electric Motor Design and Analysis (19 papers), Digital Holography and Microscopy (13 papers), Sensorless Control of Electric Motors (12 papers), Silicon Carbide Semiconductor Technologies (10 papers), Optical measurement and interference techniques (9 papers), Advanced DC-DC Converters (8 papers) and Magnetic Field Sensors Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (425 citations), Electrical and Electronic Engineering (846 citations), Media Technology (68 citations), Energy Engineering and Power Technology (18 citations) and Automotive Engineering (66 citations). Hao Yan has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Yongxiang Xu, Jibin Zou, Weiduo Zhao, Chris Gerada, Feiyang Cai, He Zhang, Giampaolo Buticchi, Wenjie Wang, Baochao Wang and Anand Asundi. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Plasma Science, Optics and Lasers in Engineering and IEEE Access.

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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