Wenjun Wang

904 total citations · 1 hit paper
41 papers, 630 citations indexed

About

Wenjun Wang is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Wenjun Wang has authored 41 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 8 papers in Control and Systems Engineering and 8 papers in Mechanical Engineering. Recurrent topics in Wenjun Wang's work include Infrastructure Maintenance and Monitoring (14 papers), Concrete Corrosion and Durability (8 papers) and Non-Destructive Testing Techniques (6 papers). Wenjun Wang is often cited by papers focused on Infrastructure Maintenance and Monitoring (14 papers), Concrete Corrosion and Durability (8 papers) and Non-Destructive Testing Techniques (6 papers). Wenjun Wang collaborates with scholars based in China, United Kingdom and United States. Wenjun Wang's co-authors include Chao Su, Chao Su, Heng Zhang, Chao Su, W. Nick Street, Xiaohai He, Chao Ren, Linbo Qing, Honggang Chen and Kai Bi and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Wenjun Wang

36 papers receiving 620 citations

Hit Papers

Automatic concrete crack segmentation model based on tran... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automatic concrete crack segmentation model based on transformer
    2022 134 citations Wenjun Wang, Chao Su Automation in Construction profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenjun Wang China 13 457 167 92 69 66 41 630
Tatsuro Yamane Japan 12 473 1.0× 89 0.5× 83 0.9× 36 0.5× 62 0.9× 16 606
Futao Ni China 7 513 1.1× 157 0.9× 51 0.6× 41 0.6× 45 0.7× 9 654
Guangyi Zhou China 9 417 0.9× 96 0.6× 110 1.2× 57 0.8× 82 1.2× 26 692
Mohamad Alipour United States 13 487 1.1× 106 0.6× 89 1.0× 32 0.5× 75 1.1× 44 671
Pang‐jo Chun Japan 15 749 1.6× 152 0.9× 102 1.1× 54 0.8× 94 1.4× 47 922
Wenbo Hu China 12 218 0.5× 83 0.5× 107 1.2× 61 0.9× 64 1.0× 35 460
Haifeng Li China 12 266 0.6× 74 0.4× 89 1.0× 35 0.5× 154 2.3× 41 534
Roberto Medina Spain 9 405 0.9× 109 0.7× 130 1.4× 105 1.5× 64 1.0× 15 652
Deegan Atha United States 7 209 0.5× 123 0.7× 120 1.3× 43 0.6× 29 0.4× 11 429
Mark David Jenkins United Kingdom 11 372 0.8× 139 0.8× 46 0.5× 52 0.8× 52 0.8× 18 492

Countries citing papers authored by Wenjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjun Wang. A scholar is included among the top collaborators of Wenjun 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 Wenjun Wang. Wenjun 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
1.
2.
Liang, Wenjia, Wenjun Wang, Baoshan Wang, et al.. (2025). Alterations in miR-151a-3p of plasma-derived exosomes and associated multimodal neuroimaging patterns in major depressive disorder. Molecular Psychiatry. 30(11). 5177–5191.
3.
Huang, Zhengxing, et al.. (2024). Exploring the Integration of Artificial Intelligence in Sports Coaching: Enhancing Training Efficiency, Injury Prevention, and Overcoming Implementation Barriers. Journal of Computer and Communications. 12(12). 201–217. 2 indexed citations
4.
Wang, Wenjun, et al.. (2024). Sex Differences in Depression: Insights from Multimodal Gray Matter Morphology and Peripheral Inflammatory Factors. International Journal of Molecular Sciences. 25(24). 13412–13412. 3 indexed citations
5.
Wang, Wenjun, et al.. (2024). Enhancement of Motion Blurred Crack Images Based on Conditional Generative Adversarial Network. Arabian Journal for Science and Engineering. 50(20). 16503–16519. 1 indexed citations
6.
Wang, Yu, Yuchun Tang, Wenjun Wang, et al.. (2024). Morphological changes in the cerebellum during aging: evidence from convolutional neural networks and shape analysis. Frontiers in Aging Neuroscience. 16. 1359320–1359320. 5 indexed citations
7.
Wang, Wenjun, et al.. (2023). A lightweight crack segmentation network based on knowledge distillation. Journal of Building Engineering. 76. 107200–107200. 36 indexed citations
8.
Wang, Wenjun & Chao Su. (2023). Deep learning-based detection and condition classification of bridge steel bearings. Automation in Construction. 156. 105085–105085. 19 indexed citations
9.
Wang, Wenjun, et al.. (2023). 6-DoF grasp pose estimation based on instance reconstruction. Intelligent Service Robotics. 17(2). 251–264. 1 indexed citations
10.
Su, Chao, et al.. (2022). Deep learning based lithology classification of drill core images. PLoS ONE. 17(7). e0270826–e0270826. 32 indexed citations
11.
Huang, Zhi-Kai, et al.. (2022). A new multi-objective artificial bee colony algorithm based on reference point and opposition. International Journal of Bio-Inspired Computation. 19(1). 18–18. 1 indexed citations
12.
Wang, Wenjun, et al.. (2022). CAM-based non-local attention network for weakly supervised fire detection. Service Oriented Computing and Applications. 16(2). 133–142. 6 indexed citations
13.
Wang, Wenjun & Chao Su. (2021). Semi-supervised semantic segmentation network for surface crack detection. Automation in Construction. 128. 103786–103786. 88 indexed citations
14.
Kim, Sung‐Kwan & Wenjun Wang. (2020). An Integrated View of Data: Application of Knowledge Modeling to Data Management. Journal of international technology and information management. 29(2). 72–99. 1 indexed citations
15.
Su, Chao & Wenjun Wang. (2020). Concrete Cracks Detection Using Convolutional NeuralNetwork Based on Transfer Learning. Mathematical Problems in Engineering. 2020. 1–10. 57 indexed citations
16.
Wang, Wenjun & Chao Su. (2020). Convolutional Neural Network-Based Pavement Crack Segmentation Using Pyramid Attention Network. IEEE Access. 8. 206548–206558. 62 indexed citations
17.
Wang, Wenjun & W. Nick Street. (2014). A novel algorithm for community detection and influence ranking in social networks. 555–560. 12 indexed citations
18.
Wang, Wenjun. (2012). New Method of Feature Extraction for Gene Expression Data Based on Class Preserving Projection. Dianzi xuebao. 1 indexed citations
19.
Wang, Xiaodan, et al.. (2010). New feature selection approach by PCA and ReliefF. Computer Engineering and Applications Journal. 46(26). 170–172. 6 indexed citations
20.
Fu, Wei, et al.. (2006). An applied research on approach of dyadic wavelet transform for Remote Sensing image edge detection. Journal of Electronics (China). 23(4). 535–538.

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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