Kai He

59 papers receiving 710 citations

Peers

Kai He
Comparison fields: 5 of 86
  • Industrial and Manufacturing Engineering 265
  • Instrumentation 34
  • Mechanical Engineering 364
  • Electrical and Electronic Engineering 437
  • Surfaces, Coatings and Films 39
Replace Adrian Bailey with:
Adrian Bailey United Kingdom
Shijie Zhao China
Senichi Masuda Japan
Guishi Wang China
Roman I. Egorov Russia
Lili Zheng China
Chih‐Yung Huang Taiwan
Takayuki Aoki Japan
Hee Reyoung Kim South Korea
Kai He relative to Adrian Bailey United Kingdom Adrian Bailey's profile →
Citations per field
00.5×10×15.8×
Adrian Bailey · 1×
Citations per year

Countries citing papers authored by Kai He

Since Specialization
Citations

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

Fields of papers citing papers by Kai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019150
2 202157
3 201950
4 202048
5 200840
6 202240
7 202337
8 201733
9 202324
10 201321
11 202221
12 202219
13 202213
14 201913
15 201313
16 202311
17 20138
18 20138
19 20138
20 20138

About Kai He

Kai He is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Computational Mechanics and Nuclear and High Energy Physics, having authored 64 papers that have together received 739 indexed citations. Recurring topics across this work include Advanced Semiconductor Detectors and Materials (8 papers), Dark Matter and Cosmic Phenomena (7 papers), Optical Coatings and Gratings (7 papers), Advanced Optical Sensing Technologies (7 papers), Recycling and Waste Management Techniques (6 papers), Laser Material Processing Techniques (6 papers), Extraction and Separation Processes (6 papers) and Advanced Fiber Laser Technologies (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (265 citations), Instrumentation (34 citations), Mechanical Engineering (364 citations), Electrical and Electronic Engineering (437 citations) and Surfaces, Coatings and Films (39 citations). Kai He has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Fu-Shen Zhang, Zhiyuan Zhang, Zhiyuan Zhang, Li‐Xiang Wu, Cong-Cong Zhang, Kui Yi, Xu Li, Jinshou Tian, Hom‐Lay Wang and Manman Zhang. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Applied Physics, AIP Advances, Journal of Hazardous Materials and Applied Surface Science.

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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