Taijun Wang

531 citations
26 papers · 371 · h-index 8

Impact in

    • Structural Behavior of Reinforced Concrete
    • Structural Load-Bearing Analysis
    • Structural Response to Dynamic Loads
    • Innovative concrete reinforcement materials
    • Concrete Corrosion and Durability
    • Seismic Performance and Analysis

Papers in

Taijun Wang

23 papers receiving 346 citations

Peers

Taijun Wang
Comparison fields: 5 of 69
  • Building and Construction 146
  • Civil and Structural Engineering 178
  • Small Animals 49
  • Artificial Intelligence 92
  • Computer Vision and Pattern Recognition 46
Replace Kai Yan with:
Kai Yan China
Anand Mohan India
Seong Hwan Kim South Korea
Longhe Wang China
Tamás Péni Hungary
Fudong Chen China
Kae Hsiang Kwong Malaysia
Taijun Wang relative to Kai Yan China Kai Yan's profile →
Citations per field
00.5×10×17×
Kai Yan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Taijun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Taijun Wang Line = papers co-authored together Taijun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001178
2 202040
3 200639
4 200335
5 200414
6 200511
7 20217
8 20037
9 20215
10 20135
11 20034
12 20034
13 20193
14 20033
15 20023
16 20113
17 20212
18 20032
19 20191
20 20091

About Taijun Wang

Taijun Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Small Animals and Civil and Structural Engineering, having authored 26 papers that have together received 371 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Neural Networks and Applications (4 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Burkholderia infections and melioidosis (3 papers), Face and Expression Recognition (2 papers), Neuroscience and Neural Engineering (2 papers), Structural Load-Bearing Analysis (2 papers) and Structural Engineering and Vibration Analysis (2 papers). The work is most often cited by research in Building and Construction (146 citations), Civil and Structural Engineering (178 citations), Small Animals (49 citations), Artificial Intelligence (92 citations) and Computer Vision and Pattern Recognition (46 citations). Taijun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Thomas T. C. Hsu, Jinwen Ma, Lei Xu, Jinwen Ma, Yuming Mao, Yu Qin, Qing Zhen, Jingjing Luo, Xiangyi Zhang and Siwen Zhang. Their work appears in journals such as Neurocomputing, Journal of Affective Disorders, BMC Infectious Diseases, International Journal of Environmental Research and Public Health and European Journal of Clinical Microbiology & Infectious Diseases.

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.

Explore authors with similar magnitude of impact