Ju Huyan

1.8k total citations · 2 hit papers
37 papers, 1.2k citations indexed

About

Ju Huyan is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ju Huyan has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Civil and Structural Engineering, 6 papers in Mechanical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ju Huyan's work include Infrastructure Maintenance and Monitoring (30 papers), Asphalt Pavement Performance Evaluation (27 papers) and Concrete Corrosion and Durability (13 papers). Ju Huyan is often cited by papers focused on Infrastructure Maintenance and Monitoring (30 papers), Asphalt Pavement Performance Evaluation (27 papers) and Concrete Corrosion and Durability (13 papers). Ju Huyan collaborates with scholars based in China, Canada and United States. Ju Huyan's co-authors include Susan Tighe, Wei Li, Zhengchao Xu, Tao Ma, Weiguang Zhang, Chengjia Han, Xiaoming Huang, Yanning Zhang, Jingtao Zhong and Zhaoyun Sun and has published in prestigious journals such as Construction and Building Materials, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Ju Huyan

36 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection

2020 258 citations Ju Huyan, Wei Li et al. Structural Control and Health Monitoring profile →
CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network

2021 149 citations Chengjia Han, Tao Ma et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ju Huyan China	17	1.1k	266	138	116	106	37	1.2k
Hamzeh Zakeri Iran	16	710 0.7×	200 0.8×	101 0.7×	67 0.6×	90 0.8×	33	964
Enhui Yang China	15	1.5k 1.4×	409 1.5×	184 1.3×	101 0.9×	87 0.8×	35	1.7k
Sylvie Chambon France	11	803 0.8×	195 0.7×	109 0.8×	123 1.1×	228 2.2×	33	1.1k
Hiroshi Omata Japan	6	890 0.8×	160 0.6×	215 1.6×	90 0.8×	229 2.2×	10	1.0k
Quoc-Lam Nguyen Vietnam	9	734 0.7×	162 0.6×	90 0.7×	72 0.6×	44 0.4×	12	881
Hristina Georgieva Bulgaria	5	693 0.6×	151 0.6×	115 0.8×	88 0.8×	69 0.7×	10	807
Pang‐jo Chun Japan	15	749 0.7×	152 0.6×	94 0.7×	54 0.5×	102 1.0×	47	922
Varun Kasireddy United States	7	724 0.7×	145 0.5×	113 0.8×	91 0.8×	75 0.7×	11	839
Sumathi Poobal India	6	552 0.5×	151 0.6×	66 0.5×	63 0.5×	82 0.8×	11	735
Jiaxiu Dong China	13	378 0.4×	111 0.4×	115 0.8×	65 0.6×	84 0.8×	18	503

Countries citing papers authored by Ju Huyan

Since Specialization

Citations

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

Fields of papers citing papers by Ju Huyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ju Huyan

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Huyan. A scholar is included among the top collaborators of Ju Huyan 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 Ju Huyan. Ju Huyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huyan, Ju, et al.. (2025). Predicting layer temperatures in flexible pavement with lightweight cellular concrete subbase using explainable machine learning. Road Materials and Pavement Design. 1–30.

Han, Chengjia, et al.. (2024). Multi-stage generative adversarial networks for generating pavement crack images. Engineering Applications of Artificial Intelligence. 131. 107767–107767. 16 indexed citations

Huyan, Ju, et al.. (2024). A lightweight multi-view 3D surfaces reconstruction method and system for aggregate particles. Powder Technology. 452. 120583–120583. 1 indexed citations

Huyan, Ju, et al.. (2024). Ensemble and evolutionary prediction of layers temperature in conventional and lightweight cellular concrete subbase pavements. International Journal of Pavement Engineering. 25(1). 5 indexed citations

Zhong, Jingtao, Ju Huyan, Weiguang Zhang, et al.. (2023). A deeper generative adversarial network for grooved cement concrete pavement crack detection. Engineering Applications of Artificial Intelligence. 119. 105808–105808. 69 indexed citations

Huyan, Ju, et al.. (2023). An ensemble tree-based prediction of Marshall mix design parameters and resilient modulus in stabilized base materials. Construction and Building Materials. 401. 132833–132833. 19 indexed citations

Ma, Tao, et al.. (2023). Aggregation segregation generative adversarial network (AG-GAN) facilitated multi-scale segregation detection in asphalt pavement paving stage. Engineering Applications of Artificial Intelligence. 129. 107663–107663. 4 indexed citations

Huyan, Ju, et al.. (2023). Foreign Bodies Detector Based on DETR for High-Resolution X-Ray Images of Textiles. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 11 indexed citations

Zhong, Jingtao, Junqing Zhu, Ju Huyan, Tao Ma, & Weiguang Zhang. (2022). Multi-scale feature fusion network for pixel-level pavement distress detection. Automation in Construction. 141. 104436–104436. 73 indexed citations

10.

Huyan, Ju, et al.. (2022). Novel Computer Tomography image enhancement deep neural networks for asphalt mixtures. Construction and Building Materials. 352. 129067–129067. 13 indexed citations

11.

Huyan, Ju, et al.. (2022). Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method. Structural Control and Health Monitoring. 29(8). 37 indexed citations

12.

Zhang, Weiguang, et al.. (2021). Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming. Construction and Building Materials. 306. 124924–124924. 37 indexed citations

13.

Han, Chengjia, Tao Ma, Ju Huyan, Xiaoming Huang, & Yanning Zhang. (2021). CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems. 23(11). 22135–22144. 149 indexed citations breakdown →

14.

Li, Wei, et al.. (2021). Unsupervised Deep Learning for Road Crack Classification by Fusing Convolutional Neural Network and K_Means Clustering. Journal of Transportation Engineering Part B Pavements. 147(4). 18 indexed citations

15.

Huyan, Ju, et al.. (2020). Quantitative Analysis of Macrotexture of Asphalt Concrete Pavement Surface Based on 3D Data. Transportation Research Record Journal of the Transportation Research Board. 2674(8). 732–744. 15 indexed citations

16.

Xiao, Liyang, Wei Li, Lili Pei, et al.. (2020). Pavement Crack Detection and Segmentation Method Based on Improved Deep Learning Fusion Model. Mathematical Problems in Engineering. 2020. 1–22. 60 indexed citations

17.

Huyan, Ju, et al.. (2020). Three-dimensional pavement crack detection based on primary surface profile innovation optimized dual-phase computing. Engineering Applications of Artificial Intelligence. 89. 103376–103376. 15 indexed citations

18.

Huyan, Ju, et al.. (2019). Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network. Automation in Construction. 107. 102946–102946. 114 indexed citations

19.

Li, Wei, Ju Huyan, & Susan Tighe. (2018). Pavement Cracking Detection Based on Three-Dimensional Data Using Improved Active Contour Model. Journal of Transportation Engineering Part B Pavements. 144(2). 4018006–4018006. 20 indexed citations

20.

Huyan, Ju, et al.. (2017). Three-Dimensional Pavement Crack Detection Algorithm Based on Two-Dimensional Empirical Mode Decomposition. Journal of Transportation Engineering Part B Pavements. 143(2). 28 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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