Wang Kang

4.9k citations
166 papers · 3.7k · h-index 34

Impact in

Papers in

Wang Kang

156 papers receiving 3.6k citations

Peers

Wang Kang
Comparison fields: 5 of 63
  • Atomic and Molecular Physics, and Optics 2.2k
  • Electrical and Electronic Engineering 2.5k
  • Condensed Matter Physics 430
  • Hardware and Architecture 229
  • Electronic, Optical and Magnetic Materials 609
Replace Tetsuo Endoh with:
Tetsuo Endoh Japan
Dmytro Apalkov United States
Ian A. Young United States
A. V. Khvalkovskiy Russia
V. Nikitin United States
Takahiro Hanyu Japan
György Csaba United States
Weisheng Zhao China
Vijay Narayanan United States
Xuanyao Fong Singapore
Wang Kang relative to Tetsuo Endoh Japan Tetsuo Endoh's profile →
Citations per field
00.5×1.5×2.0×
Tetsuo Endoh · 1×
Citations per year

Countries citing papers authored by Wang Kang

Since Specialization
Citations

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

Fields of papers citing papers by Wang Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016291
2 2016182
3 2017180
4 2020154
5 2015135
6 2017116
7 2018100
8 201584
9 201578
10 202276
11 201773
12 201672
13 201771
14 201668
15 201866
16 201465
17 201864
18 201458
19 201852
20 202051

About Wang Kang

Wang Kang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture, having authored 166 papers that have together received 3.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (110 papers), Magnetic properties of thin films (87 papers), Ferroelectric and Negative Capacitance Devices (84 papers), Semiconductor materials and devices (28 papers), Neural Networks and Reservoir Computing (14 papers), Quantum and electron transport phenomena (14 papers), Advanced Data Storage Technologies (12 papers) and Parallel Computing and Optimization Techniques (10 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (2.2k citations), Electrical and Electronic Engineering (2.5k citations), Condensed Matter Physics (430 citations), Hardware and Architecture (229 citations) and Electronic, Optical and Magnetic Materials (609 citations). Wang Kang has collaborated with scholars based in China, France and United States. Frequent co-authors include Weisheng Zhao, Youguang Zhang, Yan Zhou, Xichao Zhang, Jacques‐Olivier Klein, Yangqi Huang, D. Ravelosona, Weifeng Lv, Weisheng Zhao and Claude Chappert. Their work appears in journals such as IEEE Transactions on Electron Devices, IEEE Transactions on Magnetics, IEEE Transactions on Nanotechnology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Applied Physics 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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