Guanjin Wang

2.1k citations
66 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Imbalanced Data Classification Techniques (9 papers)Face and Expression Recognition (8 papers)Domain Adaptation and Few-Shot Learning (8 papers)
Partner nations
AustraliaChinaHong Kong

In The Last Decade

Guanjin Wang

59 papers receiving 1.4k citations

Hit Papers

A review of irregular time series data handling with gate...2021202620222024202150100150200250

Peers

Guanjin Wang
Comparison fields: 5 of 148
  • Artificial Intelligence 657
  • Cognitive Neuroscience 226
  • Computer Vision and Pattern Recognition 195
  • Signal Processing 155
  • Sociology and Political Science 120
Replace Eftim Zdravevski with:
Eftim Zdravevski North Macedonia
Zhiliang Wang China
Muhammad Umer Pakistan
Rajib Rana Australia
Mohammed Al-Sarem Saudi Arabia
Jun Qi China
Md Ekrim Hossin Malaysia
R. Varatharajan India
Saima Sadiq Pakistan
Guanjin Wang relative to Eftim Zdravevski North Macedonia Eftim Zdravevski's profile →
Citations per field
00.5×3.3×
Eftim Zdravevski · 1×
Citations per year

Countries citing papers authored by Guanjin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guanjin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanjin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guanjin Wang. A scholar is included among the top collaborators of Guanjin 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 Guanjin Wang. Guanjin 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 0
2 1
3 1
4 0
5 0
6 2
7 6
8 1
9 2
10 0
11 14
12 1
13 5
14 17
15 137
16 40
17 8
18 23
19 44
20 5

About Guanjin Wang

Guanjin Wang is a scholar working on Nuclear Energy and Engineering, Artificial Intelligence and Health Informatics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (9 papers), Face and Expression Recognition (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Nuclear Energy and Engineering (15 citations), Health Informatics (36 citations) and Artificial Intelligence (657 citations). Guanjin Wang has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Kup‐Sze Choi, Kok Wai Wong, Zhaohong Deng, Wendell P. Ela, Jie Lü, Stephen Wai Hang Kwok, Shitong Wang, Fu-Lai Chung, Yizhang Jiang and Pengjiang Qian. Their work appears in journals such as Expert Systems with Applications, Journal of Applied Mechanics and Cement and Concrete Composites.

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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