Taijun Wang

531 total citations
26 papers, 371 citations indexed

About

Taijun Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Taijun Wang has authored 26 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Taijun Wang's work include Bayesian Methods and Mixture Models (5 papers), Neural Networks and Applications (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). Taijun Wang is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Neural Networks and Applications (4 papers) and Brucella: diagnosis, epidemiology, treatment (4 papers). Taijun Wang collaborates with scholars based in China, Hong Kong and United States. Taijun Wang's co-authors include Thomas T. C. Hsu, Jinwen Ma, Lei Xu, Jinwen Ma, Yuming Mao, Yu Qin, Jingjing Luo, Qing Zhen, Fangfang Hu and Siwen Zhang and has published in prestigious journals such as Journal of Affective Disorders, International Journal of Environmental Research and Public Health and Neurocomputing.

In The Last Decade

Taijun Wang

23 papers receiving 346 citations

Peers

Taijun Wang
Comparison fields: 5 of 69
  • Civil and Structural Engineering 178
  • Building and Construction 146
  • Artificial Intelligence 92
  • Small Animals 49
  • Computer Vision and Pattern Recognition 46
Kai Yan China
Tamás Péni Hungary
Anand Mohan India
Fudong Chen China
Umesh Chandra India
LI Wei-ji China
Zhi Weng China
Seong Hwan Kim South Korea
Kai Yan China View profile →
Citations per field, relative to Taijun Wang
Taijun Wang · 1×
Citations per year, relative to Taijun Wang
Taijun Wang · 1×

Countries citing papers authored by Taijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Taijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taijun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Taijun Wang. A scholar is included among the top collaborators of Taijun 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 Taijun Wang. Taijun 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 7
2 2
3 5
4 40
5 1
6 3
7
Memristor-based Cell Design and Digi
1
8 1
9 1
10 39
11 11
12 14
13 2
14 3
15 7
16 4
17 35
18
Nonlinear Finite Element Analysis of Framed Shear Walls
1
19 178
20
Nonlinear Stress Analysis and Review for the Prestressed Concrete Reactor Vessel of the HTR500-Type
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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