Wang Kang

4.9k total citations
166 papers, 3.7k citations indexed

About

Wang Kang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Wang Kang has authored 166 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Electrical and Electronic Engineering, 88 papers in Atomic and Molecular Physics, and Optics and 22 papers in Artificial Intelligence. Recurrent topics in Wang Kang's work include Advanced Memory and Neural Computing (110 papers), Magnetic properties of thin films (87 papers) and Ferroelectric and Negative Capacitance Devices (84 papers). Wang Kang is often cited by papers focused on Advanced Memory and Neural Computing (110 papers), Magnetic properties of thin films (87 papers) and Ferroelectric and Negative Capacitance Devices (84 papers). Wang Kang collaborates with scholars based in China, France and United States. Wang Kang's 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 and has published in prestigious journals such as Nature Communications, ACS Nano and Applied Physics Letters.

In The Last Decade

Wang Kang

156 papers receiving 3.6k citations

Peers

Wang Kang
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 2.5k
  • Atomic and Molecular Physics, and Optics 2.2k
  • Electronic, Optical and Magnetic Materials 609
  • Materials Chemistry 527
  • Condensed Matter Physics 430
Replace Tetsuo Endoh with:
Tetsuo Endoh Japan
Dmytro Apalkov United States
Ian A. Young United States
A. V. Khvalkovskiy Russia
Takahiro Hanyu Japan
V. Nikitin United States
György Csaba United States
Weisheng Zhao China
Vijay Narayanan United States
Daoqian Zhu China
Tetsuo Endoh Japan View profile →
Citations per field, relative to Wang Kang
Wang Kang · 1×
Citations per year, relative to Wang Kang
Wang Kang · 1×

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-authorship network of co-authors of Wang Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Kang. A scholar is included among the top collaborators of Wang Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wang Kang. Wang Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 4
4 1
5 1
6 4
7 15
8 10
9
Gaussian Kernel Density Estimation Method for Detecting Abnormal Values of Health Data
1
10 27
11 66
12 5
13 9
14 17
15 1
16 15
17 1
18
Dynamic Voltage Stability Analysis on UHVDC Accessing to Jiangxi Power Grid
1
19
A Twolevel Refinement Method for Operational Rules in Smart Control Centers
11
20
Classifying and Filtering Spam-mail Based on Probabilistic Neural Network
1

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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