Kai Yang

3.1k citations
169 papers · 2.3k · h-index 25

Impact in

Papers in

Kai Yang

143 papers receiving 2.2k citations

Peers

Kai Yang
Comparison fields: 5 of 135
  • Pathology and Forensic Medicine 426
  • Control and Systems Engineering 503
  • Electrical and Electronic Engineering 805
  • Pharmacology 203
  • Automotive Engineering 126
Replace Hiroyuki Kojima with:
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Kai Yang relative to Hiroyuki Kojima Japan Hiroyuki Kojima's profile →
Citations per field
00.5×10.5×
Hiroyuki Kojima · 1×
Citations per year

Countries citing papers authored by Kai Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984370
2 2016126
3 2009102
4 202086
5 202174
6 202164
7 201060
8 201859
9 200450
10 201048
11 200447
12 200746
13 201045
14 201544
15 200243
16 202243
17 202442
18 202340
19 202240
20 202239

About Kai Yang

Kai Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 169 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (48 papers), Sensorless Control of Electric Motors (36 papers), Magnetic Bearings and Levitation Dynamics (31 papers), Multilevel Inverters and Converters (18 papers), Magnetic Properties and Applications (15 papers), Shape Memory Alloy Transformations (12 papers), Spine and Intervertebral Disc Pathology (9 papers) and Microgrid Control and Optimization (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (426 citations), Control and Systems Engineering (503 citations), Electrical and Electronic Engineering (805 citations), Pharmacology (203 citations) and Automotive Engineering (126 citations). Kai Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Albert I. King, Ee-Chon Teo, Soo Jay Phee, Chaochen Gu, Feng Jiang, Zhenglong Sun, Van An Huynh, Andy Prima Kencana, S.C. Low and Ali E. Yılmaz. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, IEEE Transactions on Industry Applications and IEEE Transactions on Transportation Electrification.

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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