Kang Wang

539 total citations
46 papers, 280 citations indexed

About

Kang Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kang Wang has authored 46 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kang Wang's work include Domain Adaptation and Few-Shot Learning (7 papers), Time Series Analysis and Forecasting (5 papers) and Network Security and Intrusion Detection (4 papers). Kang Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Time Series Analysis and Forecasting (5 papers) and Network Security and Intrusion Detection (4 papers). Kang Wang collaborates with scholars based in China, Australia and Canada. Kang Wang's co-authors include Jingbin Li, Jing Nie, Lisha Sun, Qingjin Peng, Hong Wang, Runhua Tan, Hongkun Wang, Xuesong Wang, Yipeng Zhang and Zhicheng Ju and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Alloys and Compounds and International Journal of Remote Sensing.

In The Last Decade

Kang Wang

39 papers receiving 269 citations

Peers

Kang Wang
Comparison fields: 5 of 100
  • Artificial Intelligence 73
  • Computer Vision and Pattern Recognition 36
  • Electrical and Electronic Engineering 34
  • Small Animals 29
  • Mechanical Engineering 29
Replace Yongfeng Li with:
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Amit Pandey India
Qian Yan China
Lídia Sánchez-González Spain
Zhi Weng China
Kyungkoo Jun South Korea
Azızul Azizan Malaysia
Alicia Fernández Uruguay
Stephen A. Ward United States
Yongfeng Li China View profile →
Citations per field, relative to Kang Wang
Kang Wang · 1×
Citations per year, relative to Kang Wang
Kang Wang · 1×

Countries citing papers authored by Kang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Wang. A scholar is included among the top collaborators of Kang 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 Kang Wang. Kang 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
# Work Indexed citations
1 0
2 1
3 0
4 2
5 2
6 0
7 4
8 20
9 3
10 0
11 7
12 1
13 35
14 4
15 1
16 13
17
An Improved Fusion Method of Fuzzy Logic Based on k-mean Clustering in WSN
3
18 10
19 6
20 2

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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