How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review
With the rapid growth in urban construction in Malaysia, road breakage has challenged traditional manual inspection methods. In order to quickly and accurately detect the extent of road breakage, it is crucial to apply automated road crack detection techniques. Researchers have long studied image-ba...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/116102/ http://psasir.upm.edu.my/id/eprint/116102/1/116102.pdf |
| _version_ | 1848866928482844672 |
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| author | Fan, Luxin Tang, SaiHong Mohd Ariffin, Mohd Khairol Anuar b. Ismail, Mohd Idris Shah b. Zhao, Ruixin |
| author_facet | Fan, Luxin Tang, SaiHong Mohd Ariffin, Mohd Khairol Anuar b. Ismail, Mohd Idris Shah b. Zhao, Ruixin |
| author_sort | Fan, Luxin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | With the rapid growth in urban construction in Malaysia, road breakage has challenged traditional manual inspection methods. In order to quickly and accurately detect the extent of road breakage, it is crucial to apply automated road crack detection techniques. Researchers have long studied image-based road crack detection techniques, especially the deep learning methods that have emerged in recent years, leading to breakthrough developments in the field. However, many issues remain in road crack detection methods using deep learning techniques. The field lacks state-of-the-art systematic reviews that can scientifically and effectively analyze existing works, document research trends, summarize outstanding research results, and identify remaining shortcomings. To conduct a systematic review of the relevant literature, a bibliometric analysis and a critical analysis of the papers published in the field were performed. VOSviewer and CiteSpace text mining tools were used to analyze and visualize the bibliometric analysis of some parameters derived from the articles. The history and current status of research in the field by authors from all over the world are elucidated and future trends are analyzed. |
| first_indexed | 2025-11-15T14:28:24Z |
| format | Article |
| id | upm-116102 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:28:24Z |
| publishDate | 2024 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1161022025-03-19T05:20:38Z http://psasir.upm.edu.my/id/eprint/116102/ How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review Fan, Luxin Tang, SaiHong Mohd Ariffin, Mohd Khairol Anuar b. Ismail, Mohd Idris Shah b. Zhao, Ruixin With the rapid growth in urban construction in Malaysia, road breakage has challenged traditional manual inspection methods. In order to quickly and accurately detect the extent of road breakage, it is crucial to apply automated road crack detection techniques. Researchers have long studied image-based road crack detection techniques, especially the deep learning methods that have emerged in recent years, leading to breakthrough developments in the field. However, many issues remain in road crack detection methods using deep learning techniques. The field lacks state-of-the-art systematic reviews that can scientifically and effectively analyze existing works, document research trends, summarize outstanding research results, and identify remaining shortcomings. To conduct a systematic review of the relevant literature, a bibliometric analysis and a critical analysis of the papers published in the field were performed. VOSviewer and CiteSpace text mining tools were used to analyze and visualize the bibliometric analysis of some parameters derived from the articles. The history and current status of research in the field by authors from all over the world are elucidated and future trends are analyzed. Multidisciplinary Digital Publishing Institute 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/116102/1/116102.pdf Fan, Luxin and Tang, SaiHong and Mohd Ariffin, Mohd Khairol Anuar b. and Ismail, Mohd Idris Shah b. and Zhao, Ruixin (2024) How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review. Applied Sciences, 14 (11). art. no. 4817. pp. 1-39. ISSN 2076-3417 https://www.mdpi.com/2076-3417/14/11/4817 10.3390/app14114817 |
| spellingShingle | Fan, Luxin Tang, SaiHong Mohd Ariffin, Mohd Khairol Anuar b. Ismail, Mohd Idris Shah b. Zhao, Ruixin How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title | How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title_full | How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title_fullStr | How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title_full_unstemmed | How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title_short | How to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| title_sort | how to make a state of the art report — case study — image-based road crack detection: a scientometric literature review |
| url | http://psasir.upm.edu.my/id/eprint/116102/ http://psasir.upm.edu.my/id/eprint/116102/ http://psasir.upm.edu.my/id/eprint/116102/ http://psasir.upm.edu.my/id/eprint/116102/1/116102.pdf |