Yantao Yu

3.6k total citations · 1 hit paper
58 papers, 2.7k citations indexed

About

Yantao Yu is a scholar working on Radiological and Ultrasound Technology, Pharmacology and Social Psychology. According to data from OpenAlex, Yantao Yu has authored 58 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiological and Ultrasound Technology, 15 papers in Pharmacology and 14 papers in Social Psychology. Recurrent topics in Yantao Yu's work include Occupational Health and Safety Research (36 papers), Musculoskeletal pain and rehabilitation (15 papers) and Infrastructure Maintenance and Monitoring (13 papers). Yantao Yu is often cited by papers focused on Occupational Health and Safety Research (36 papers), Musculoskeletal pain and rehabilitation (15 papers) and Infrastructure Maintenance and Monitoring (13 papers). Yantao Yu collaborates with scholars based in Hong Kong, China and Australia. Yantao Yu's co-authors include Heng Li, Xincong Yang, Xiaochun Luo, Hongling Guo, Martin Skitmore, Ting Huang, Yang Xu, Maxwell Fordjour Antwi‐Afari, Waleed Umer and Dongping Cao and has published in prestigious journals such as Expert Systems with Applications, Sensors and Automation in Construction.

In The Last Decade

Yantao Yu

52 papers receiving 2.6k citations

Hit Papers

Automatic Pixel‐Level Crack Detection and Measurement Usi... 2018 2026 2020 2023 2018 200 400 600
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 Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network
    2018 627 citations Xincong Yang, Heng Li 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
Yantao Yu Hong Kong 26 1.2k 1.1k 507 407 289 58 2.7k
JoonOh Seo Hong Kong 27 1.2k 0.9× 573 0.5× 528 1.0× 592 1.5× 428 1.5× 87 2.4k
Xiaochun Luo Hong Kong 28 1.2k 1.0× 1.5k 1.4× 1.1k 2.2× 343 0.8× 117 0.4× 69 3.5k
SangUk Han South Korea 20 1.2k 0.9× 538 0.5× 438 0.9× 329 0.8× 207 0.7× 60 1.9k
Changbum R. Ahn United States 33 1.4k 1.1× 454 0.4× 844 1.7× 655 1.6× 201 0.7× 151 3.3k
Xincong Yang China 19 556 0.5× 1.0k 0.9× 376 0.7× 185 0.5× 122 0.4× 44 1.8k
Houtan Jebelli United States 27 1.4k 1.1× 191 0.2× 507 1.0× 858 2.1× 202 0.7× 116 2.9k
Hongling Guo China 19 715 0.6× 245 0.2× 433 0.9× 212 0.5× 68 0.2× 59 1.4k
Reza Akhavian United States 17 552 0.4× 350 0.3× 636 1.3× 217 0.5× 79 0.3× 43 1.5k
Yihai Fang Australia 26 638 0.5× 483 0.4× 827 1.6× 298 0.7× 12 0.0× 90 2.2k
Xuzhong Yan China 12 404 0.3× 218 0.2× 186 0.4× 198 0.5× 178 0.6× 14 794

Countries citing papers authored by Yantao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yantao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yantao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yantao Yu. A scholar is included among the top collaborators of Yantao Yu 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 Yantao Yu. Yantao Yu 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.
Yang, Bin, et al.. (2025). Orientation-aware detection system for real-time monitoring of cracks in steel structures. Expert Systems with Applications. 299. 129932–129932.
2.
Zhou, Xiaoguang, Chao Hou, Yantao Yu, & Yifan Zhou. (2025). Machine learning-based techniques for marine structures: A state-of-the-art review. UWA Profiles and Research Repository (UWA). 1(1). 9470005–9470005.
3.
4.
Yu, Yantao, et al.. (2025). A vision-based approach to assessing worker ergonomics in low-light construction environments. Advanced Engineering Informatics. 66. 103463–103463. 1 indexed citations
5.
Mishra, Dhanada K., et al.. (2025). SelectSeg: Uncertainty-based selective training and prediction for accurate crack segmentation under limited data and noisy annotations. Reliability Engineering & System Safety. 259. 110909–110909. 6 indexed citations
6.
Li, Zirui, et al.. (2024). Data-driven ergonomic assessment of construction workers. Automation in Construction. 165. 105561–105561. 9 indexed citations
7.
Yu, Yantao, et al.. (2024). Automatic repetitive action counting for construction worker ergonomic assessment. Automation in Construction. 167. 105726–105726. 8 indexed citations
8.
Shu, Jiangpeng, et al.. (2024). Estimation of load-carrying capacity of cracked RC beams using 3D digital twin model integrated with point clouds and images. Engineering Structures. 310. 118126–118126. 35 indexed citations
9.
Yu, Yantao, et al.. (2024). Optimizing heterogeneous multi-robot team composition for long-horizon construction tasks: Time- and utilization-guided simulation. Automation in Construction. 165. 105520–105520. 2 indexed citations
10.
Yu, Yantao, et al.. (2024). Learning Multi-Granularity Task Primitives from Construction Videos for Human-Robot Collaboration. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 674–681. 1 indexed citations
11.
Li, Zirui, et al.. (2024). Vigilance recognition for construction workers using EEG and transfer learning. Advanced Engineering Informatics. 64. 103052–103052. 5 indexed citations
12.
Yu, Yantao, et al.. (2023). Recovering building information model from 2D drawings for mechanical, electrical and plumbing systems of ageing buildings. Automation in Construction. 152. 104914–104914. 17 indexed citations
13.
Guo, Hongling, Jia‐Rui Lin, & Yantao Yu. (2023). Intelligent and Computer Technologies’ Application in Construction. Buildings. 13(3). 641–641. 4 indexed citations
14.
Yu, Yantao, et al.. (2023). Learning multi-granular worker intentions from incomplete visual observations for worker-robot collaboration in construction. Automation in Construction. 158. 105184–105184. 8 indexed citations
15.
Yu, Yantao, et al.. (2020). A Dual Input-aware Factorization Machine for CTR Prediction. 3139–3145. 43 indexed citations
16.
Yu, Yantao, Heng Li, Waleed Umer, et al.. (2019). Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. Journal of Computing in Civil Engineering. 33(3). 50 indexed citations
17.
Yu, Yantao, et al.. (2019). An automatic and non-invasive physical fatigue assessment method for construction workers. Automation in Construction. 103. 1–12. 142 indexed citations
18.
Antwi‐Afari, Maxwell Fordjour, et al.. (2018). Wearable insole pressure system for automated detection and classification of awkward working postures in construction workers. Automation in Construction. 96. 433–441. 111 indexed citations
19.
Li, Heng, et al.. (2018). Quantifying the physical intensity of construction workers, a mechanical energy approach. Advanced Engineering Informatics. 38. 404–419. 34 indexed citations
20.
Qi, Fang, Heng Li, Xiaochun Luo, et al.. (2018). A deep learning-based method for detecting non-certified work on construction sites. Advanced Engineering Informatics. 35. 56–68. 123 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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