Hong-Hu Chu

1.2k total citations · 1 hit paper
31 papers, 874 citations indexed

About

Hong-Hu Chu is a scholar working on Civil and Structural Engineering, Applied Mathematics and Mechanical Engineering. According to data from OpenAlex, Hong-Hu Chu has authored 31 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 11 papers in Applied Mathematics and 10 papers in Mechanical Engineering. Recurrent topics in Hong-Hu Chu's work include Infrastructure Maintenance and Monitoring (18 papers), Mathematical Inequalities and Applications (11 papers) and Non-Destructive Testing Techniques (10 papers). Hong-Hu Chu is often cited by papers focused on Infrastructure Maintenance and Monitoring (18 papers), Mathematical Inequalities and Applications (11 papers) and Non-Destructive Testing Techniques (10 papers). Hong-Hu Chu collaborates with scholars based in China, United Kingdom and Pakistan. Hong-Hu Chu's co-authors include Yu‐Ming Chu, Lu Deng, Miao-Kun Wang, Tie‐Hong Zhao, Wei Wang, Pang‐jo Chun, Muhammad Faisal Javed, Yongmin Li, Muneeb Khan and Mohsin Ali Khan and has published in prestigious journals such as Automation in Construction, Materials and Journal of Mathematical Analysis and Applications.

In The Last Decade

Hong-Hu Chu

30 papers receiving 836 citations

Hit Papers

Sharp bounds for the Toader mean of order 3 in terms of a... 2020 2026 2022 2024 2020 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong-Hu Chu China 16 376 285 136 88 59 31 874
Yuzhu Zhang China 16 117 0.3× 90 0.3× 287 2.1× 117 1.3× 178 3.0× 92 832
Weixing Liu China 11 29 0.1× 25 0.1× 93 0.7× 31 0.4× 50 0.8× 39 407
Raheleh Jafari Mexico 13 121 0.3× 26 0.1× 102 0.8× 4 0.0× 35 0.6× 49 424
Mohammed Amine Moussaoui Morocco 16 26 0.1× 71 0.2× 139 1.0× 60 0.7× 3 0.1× 82 951
Xiaojing Wang China 12 47 0.1× 26 0.1× 73 0.5× 30 0.3× 28 0.5× 52 354
Javad Katebi Iran 8 186 0.5× 26 0.1× 37 0.3× 36 0.4× 38 0.6× 21 358
Thierry Poinot France 17 52 0.1× 35 0.1× 94 0.7× 9 0.1× 378 6.4× 76 1.1k
Feng Zhou China 16 299 0.8× 7 0.0× 118 0.9× 99 1.1× 7 0.1× 90 991
S.L. Lee Singapore 15 381 1.0× 80 0.3× 49 0.4× 183 2.1× 2 0.0× 37 620

Countries citing papers authored by Hong-Hu Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Hu Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Hu Chu. 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 Hong-Hu Chu. The network helps show where Hong-Hu Chu may publish in the future.

Co-authorship network of co-authors of Hong-Hu Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Hu Chu. A scholar is included among the top collaborators of Hong-Hu Chu 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 Hong-Hu Chu. Hong-Hu Chu 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.
Chu, Hong-Hu, et al.. (2025). Binocular vision-based pose monitoring technique for assembly alignment of precast concrete components. Advanced Engineering Informatics. 65. 103205–103205. 1 indexed citations
2.
Chu, Hong-Hu, et al.. (2025). CBRFormer: rendering technology-based transformer for refinement segmentation of bridge crack images. Advanced Engineering Informatics. 69. 103868–103868. 3 indexed citations
3.
Chun, Pang‐jo, et al.. (2024). Implementation of explanatory texts output for bridge damage in a bridge inspection web system. Advances in Engineering Software. 195. 103706–103706. 11 indexed citations
4.
Chu, Hong-Hu, Weiwei Chen, & Lu Deng. (2024). Cascade operation-enhanced high-resolution representation learning for meticulous segmentation of bridge cracks. Advanced Engineering Informatics. 61. 102508–102508. 18 indexed citations
5.
Deng, Lu, et al.. (2024). Cascade refinement extraction network with active boundary loss for segmentation of concrete cracks from high-resolution images. Automation in Construction. 162. 105410–105410. 19 indexed citations
6.
Chu, Hong-Hu, et al.. (2024). CrackGauGAN: Semantic Layout-based Crack Image Synthesis for Automated Crack Segmentation. Proceedings of the ... ISARC. 1 indexed citations
7.
Chu, Hong-Hu, et al.. (2023). A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks. Automation in Construction. 158. 105194–105194. 20 indexed citations
8.
Deng, Lu, et al.. (2023). Internal Defect Detection of Structures Based on Infrared Thermography and Deep Learning. KSCE Journal of Civil Engineering. 27(3). 1136–1149. 18 indexed citations
9.
Chu, Hong-Hu, et al.. (2023). Deep Learning Method to Detect the Road Cracks and Potholes for燬mart燙ities. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1863–1881. 11 indexed citations
10.
Qian, Wei-Mao, Hong-Hu Chu, Miao-Kun Wang, & Yu‐Ming Chu. (2022). Sharp inequalities for the Toader mean of order -1 in terms of other bivariate means. Journal of Mathematical Inequalities. 127–141. 43 indexed citations
11.
Chu, Hong-Hu, Mohsin Ali Khan, Muhammad Faisal Javed, et al.. (2021). Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete. Ain Shams Engineering Journal. 12(4). 3603–3617. 117 indexed citations
12.
Chu, Hong-Hu, Fahid Aslam, Muhammad Faisal Javed, et al.. (2021). Coupled effect of poly vinyl alcohol and fly ash on mechanical characteristics of concrete. Ain Shams Engineering Journal. 13(3). 101633–101633. 12 indexed citations
13.
Wang, Miao-Kun, Hong-Hu Chu, & Yu‐Ming Chu. (2021). On the approximation of some special functions in Ramanujan’s generalized modular equation with signature 3$$^{*}$$. The Ramanujan Journal. 56(1). 1–22. 7 indexed citations
14.
Chu, Hong-Hu, Humaira Kalsoom, Saima Rashid, et al.. (2020). Quantum Analogs of Ostrowski-Type Inequalities for Raina’s Function correlated with Coordinated Generalized Φ-Convex Functions. Symmetry. 12(2). 308–308. 16 indexed citations
15.
Chu, Hong-Hu, Tie‐Hong Zhao, & Yu‐Ming Chu. (2020). Sharp bounds for the Toader mean of order 3 in terms of arithmetic, quadratic and contraharmonic means. Mathematica Slovaca. 70(5). 1097–1112. 114 indexed citations breakdown →
16.
Deng, Lu, et al.. (2020). Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks. Applied Sciences. 10(7). 2528–2528. 44 indexed citations
17.
Shi, Peng, et al.. (2020). Deep Learning Framework for Total Stress Detection of Steel Components. Journal of Bridge Engineering. 26(1). 5 indexed citations
18.
Chu, Hong-Hu, Zhen-Hang Yang, Wen Zhang, & Yu‐Ming Chu. (2016). Improvements of the bounds for Ramanujan constant function. Journal of Inequalities and Applications. 2016(1). 4 indexed citations
19.
Chu, Hong-Hu, Zhen-Hang Yang, Yu‐Ming Chu, & Wen Zhang. (2016). Generalized Wilker-type inequalities with two parameters. Journal of Inequalities and Applications. 2016(1). 13 indexed citations
20.
Chu, Hong-Hu, Wei-Mao Qian, Yu‐Ming Chu, & Ying-Qing Song. (2016). Optimal bounds for a Toader-type mean in terms of one-parameter quadratic and contraharmonic means. The Journal of Nonlinear Sciences and Applications. 9(5). 3424–3432. 10 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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