Kaiyang Wang

2.1k citations
37 papers · 1.8k indexed · 1 hit paper · h-index 18
Topics
Advanced Memory and Neural Computing (22 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Neuroscience and Neural Engineering (9 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaApplied Physics Letters

In The Last Decade

Kaiyang Wang

35 papers receiving 1.7k citations

Hit Papers

Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Bas...20192026202120232019100200300

Peers

Kaiyang Wang
Comparison fields: 5 of 72
  • Electrical and Electronic Engineering 1.5k
  • Cellular and Molecular Neuroscience 609
  • Materials Chemistry 585
  • Polymers and Plastics 365
  • Biomedical Engineering 145
Replace Yingtao Li with:
Yingtao Li China
Xuewei Feng Singapore
Joon Young Kwak South Korea
Min‐Kyu Kim South Korea
Jiaming Zhang China
Yawar Abbas United Arab Emirates
Jianyu Du China
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Ye Tao China
Kaiyang Wang relative to Yingtao Li China Yingtao Li's profile →
Citations per field
00.5×1.5×1.9×
Yingtao Li · 1×
Citations per year

Countries citing papers authored by Kaiyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiyang Wang. A scholar is included among the top collaborators of Kaiyang Wang 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 Kaiyang Wang. Kaiyang Wang 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
#WorkIndexed citations
1 2
2 2
3 5
4 5
5 5
6 1
7 21
8 28
9 14
10 74
11 24
12 44
13 8
14 4
15 94
16 135
17 176
18 178
19
Vacancy‐Induced Synaptic Behavior in 2D WS2 Nanosheet–Based Memristor for Low‐Power Neuromorphic Computingbreakdown →
352
20 32

About Kaiyang Wang

Kaiyang Wang is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Materials Chemistry, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (609 citations), Electrical and Electronic Engineering (1.5k citations) and Polymers and Plastics (365 citations). Kaiyang Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xiaobing Yan, Jingsheng Chen, Qianlong Zhao, Jingjuan Wang, Yifei Pei, Zuoao Xiao, Cuiya Qin, Jianhui Zhao, Deliang Ren and Lei Zhang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología 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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