Allen Zhang

3.5k total citations · 4 hit papers
62 papers, 2.8k citations indexed

About

Allen Zhang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Allen Zhang has authored 62 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Civil and Structural Engineering, 17 papers in Mechanical Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Allen Zhang's work include Infrastructure Maintenance and Monitoring (50 papers), Asphalt Pavement Performance Evaluation (41 papers) and Non-Destructive Testing Techniques (11 papers). Allen Zhang is often cited by papers focused on Infrastructure Maintenance and Monitoring (50 papers), Asphalt Pavement Performance Evaluation (41 papers) and Non-Destructive Testing Techniques (11 papers). Allen Zhang collaborates with scholars based in China, United States and Canada. Allen Zhang's co-authors include Kelvin C. P. Wang, Qiang Li, Baoxian Li, Yue Fei, Cheng Chen, Enhui Yang, Yang Liu, Yi Peng, Guangwei Yang and Shi Qiu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Allen Zhang

59 papers receiving 2.7k citations

Hit Papers

Automated Pixel‐Level Pavement Crack Detection on 3D Asph... 2017 2026 2020 2023 2017 2019 2018 2018 250 500 750
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. Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network
    2017 779 citations Allen Zhang, Kelvin C. P. Wang et al. profile →
  2. Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V
    2019 257 citations Yue Fei, Kelvin C. P. Wang et al. profile →
  3. Automated Pixel-Level Pavement Crack Detection on 3D Asphalt Surfaces with a Recurrent Neural Network
    2018 241 citations Allen Zhang, Kelvin C. P. Wang et al. profile →
  4. Deep Learning–Based Fully Automated Pavement Crack Detection on 3D Asphalt Surfaces with an Improved CrackNet
    2018 241 citations Allen Zhang, Kelvin C. P. Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allen Zhang China 22 2.5k 624 340 190 182 62 2.8k
Baoxian Li China 10 1.5k 0.6× 364 0.6× 210 0.6× 124 0.7× 101 0.6× 24 1.7k
Sattar Dorafshan United States 17 1.4k 0.6× 415 0.7× 272 0.8× 124 0.7× 128 0.7× 47 1.7k
Enhui Yang China 15 1.5k 0.6× 409 0.7× 184 0.5× 101 0.5× 109 0.6× 35 1.7k
Kelvin C. P. Wang United States 31 4.1k 1.7× 1.1k 1.8× 476 1.4× 291 1.5× 361 2.0× 206 4.7k
Hiroya Maeda Japan 11 1.3k 0.5× 212 0.3× 333 1.0× 128 0.7× 155 0.9× 21 1.5k
Qingzhao Kong China 37 2.8k 1.1× 979 1.6× 630 1.9× 66 0.3× 334 1.8× 140 3.8k
Yichang Tsai United States 23 1.6k 0.6× 272 0.4× 316 0.9× 150 0.8× 205 1.1× 139 2.1k
Yu Qian United States 27 2.0k 0.8× 1.4k 2.2× 107 0.3× 256 1.3× 120 0.7× 143 2.7k

Countries citing papers authored by Allen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Allen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Allen Zhang. A scholar is included among the top collaborators of Allen Zhang 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 Allen Zhang. Allen Zhang 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.
Zhai, Guanghao, et al.. (2025). Autonomous post-earthquake structural assessment based on bidirectional graphics-based digital twin (Bi-GBDT) with physical and visual realism. Advanced Engineering Informatics. 69. 103971–103971. 1 indexed citations
2.
Lin, Xiuquan, et al.. (2025). Learning models for predicting pavement friction based on non-contact texture measurements: Comparative assessment. SHILAP Revista de lepidopterología. 5(2). 202–212. 1 indexed citations
3.
Zhang, Hang, et al.. (2025). Robust variable resolution pixel-level detection of multiple distresses on rural roads. Advanced Engineering Informatics. 69. 103976–103976.
4.
Zhan, You, et al.. (2025). Hybrid prediction model for the friction performance of asphalt pavements by combining multi-scale decomposition and transformer network. Engineering Applications of Artificial Intelligence. 155. 110896–110896. 2 indexed citations
5.
Lin, Xiuquan, Dongya Ren, Zilin Wang, et al.. (2025). Data-driven modeling of the quantitative structure-activity relationship between aggregate contact parameters and dynamic modulus in asphalt mixtures. Construction and Building Materials. 489. 140698–140698. 1 indexed citations
6.
Zhang, Allen, et al.. (2025). Adaptive learning network for detecting pavement distresses in complex environments. Engineering Applications of Artificial Intelligence. 152. 110784–110784. 1 indexed citations
7.
Shang, Jing, et al.. (2024). Automated pavement detection and artificial intelligence pavement image data processing technology. Automation in Construction. 168. 105797–105797. 14 indexed citations
8.
Zhang, Allen, Katy Milne, Steven J.M. Jones, et al.. (2024). VOLTA: an enVironment-aware cOntrastive ceLl represenTation leArning for histopathology. Nature Communications. 15(1). 3942–3942. 4 indexed citations
9.
Zhang, Allen, et al.. (2024). Automated pixel-level pavement marking detection based on a convolutional transformer. Engineering Applications of Artificial Intelligence. 133. 108416–108416. 12 indexed citations
10.
Zhang, Allen, Jing Shang, Baoxian Li, et al.. (2024). Intelligent pavement condition survey: Overview of current researches and practices. SHILAP Revista de lepidopterología. 4(3). 257–281. 15 indexed citations
11.
Zhan, You, Yurong Zhang, Zhiwei Luo, et al.. (2023). Intelligent paving and compaction technologies for asphalt pavement. Automation in Construction. 156. 105081–105081. 24 indexed citations
12.
Ren, Dongya, et al.. (2023). Characterization of internal pore size distribution and interconnectivity for asphalt concrete with various porosity using 3D CT scanning images. Construction and Building Materials. 400. 132751–132751. 40 indexed citations
13.
Shang, Jing, et al.. (2023). Automatic Pixel-level pavement sealed crack detection using Multi-fusion U-Net network. Measurement. 208. 112475–112475. 41 indexed citations
14.
Zhan, You, Yining Chen, Xiuquan Lin, et al.. (2023). Prediction of the skid-resistance deterioration in asphalt pavement based on peephole–LSTM neural network. International Journal of Pavement Engineering. 24(2). 6 indexed citations
15.
Zhang, Allen, et al.. (2023). Intelligent pixel-level pavement marking detection using 2D laser pavement images. Measurement. 219. 113269–113269. 7 indexed citations
16.
Kong, Lingyun, Xinan Li, Yi Peng, et al.. (2023). Study on the influence of spent-catalysts microphysical properties on FCC/asphalt interface interaction. 2. 2 indexed citations
17.
18.
Zhang, Allen, Guangwei Yang, Kelvin C. P. Wang, et al.. (2021). Automated joint faulting measurement based on full-lane 3D pavement surface data. Transportation Research Part C Emerging Technologies. 128. 103221–103221. 16 indexed citations
19.
Li, Baoxian, Kelvin C. P. Wang, Allen Zhang, Yue Fei, & Giuseppe Sollazzo. (2019). Automatic Segmentation and Enhancement of Pavement Cracks Based on 3D Pavement Images. Journal of Advanced Transportation. 2019. 1–9. 47 indexed citations
20.
Wang, Kelvin C. P., Allen Zhang, Qiang Li, et al.. (2017). Deep Learning for Asphalt Pavement Cracking Recognition Using Convolutional Neural Network. 166–177. 50 indexed citations

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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