OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Modular deep learning segmentation algorithm for concrete microscopic images
Benoît Hilloulin, Imane Bekrine, Emmanuel Schmitt, et al.
Construction and Building Materials (2022) Vol. 349, pp. 128736-128736
Open Access | Times Cited: 12
Benoît Hilloulin, Imane Bekrine, Emmanuel Schmitt, et al.
Construction and Building Materials (2022) Vol. 349, pp. 128736-128736
Open Access | Times Cited: 12
Showing 12 citing articles:
Compressive strength evaluation of cement-based materials in sulphate environment using optimized deep learning technology
Yang Yu, Chunwei Zhang, Xingyang Xie, et al.
Developments in the Built Environment (2023) Vol. 16, pp. 100298-100298
Open Access | Times Cited: 41
Yang Yu, Chunwei Zhang, Xingyang Xie, et al.
Developments in the Built Environment (2023) Vol. 16, pp. 100298-100298
Open Access | Times Cited: 41
Predicting micromechanical properties of cement paste from backscattered electron (BSE) images by computer vision
Minfei Liang, Shan He, Yidong Gan, et al.
Materials & Design (2023) Vol. 229, pp. 111905-111905
Open Access | Times Cited: 17
Minfei Liang, Shan He, Yidong Gan, et al.
Materials & Design (2023) Vol. 229, pp. 111905-111905
Open Access | Times Cited: 17
Concrete forensic analysis using deep learning-based coarse aggregate segmentation
Mati Ullah, Junaid Mir, Syed Sameed Husain, et al.
Automation in Construction (2024) Vol. 162, pp. 105372-105372
Closed Access | Times Cited: 7
Mati Ullah, Junaid Mir, Syed Sameed Husain, et al.
Automation in Construction (2024) Vol. 162, pp. 105372-105372
Closed Access | Times Cited: 7
Interpretable machine learning model for autogenous shrinkage prediction of low-carbon cementitious materials
Benoît Hilloulin, Van Quan Tran
Construction and Building Materials (2023) Vol. 396, pp. 132343-132343
Open Access | Times Cited: 16
Benoît Hilloulin, Van Quan Tran
Construction and Building Materials (2023) Vol. 396, pp. 132343-132343
Open Access | Times Cited: 16
Macro and mesoscopic mechanical behavior of concrete with actual aggregate segmented by hybrid Transformers and convolutional neural networks
Dong Wang, Junxing Zheng, Jichen Zhong, et al.
Case Studies in Construction Materials (2025), pp. e04414-e04414
Open Access
Dong Wang, Junxing Zheng, Jichen Zhong, et al.
Case Studies in Construction Materials (2025), pp. e04414-e04414
Open Access
Machine learning in concrete durability: challenges and pathways identified by RILEM TC 315-DCS towards enhanced predictive models
Woubishet Zewdu Taffese, Benoît Hilloulin, Yury Villagrán Zaccardi, et al.
Materials and Structures (2025) Vol. 58, Iss. 4
Open Access
Woubishet Zewdu Taffese, Benoît Hilloulin, Yury Villagrán Zaccardi, et al.
Materials and Structures (2025) Vol. 58, Iss. 4
Open Access
Interpretable ensemble machine learning for the prediction of the expansion of cementitious materials under external sulfate attack
Benoît Hilloulin, Abdelhamid Hafidi, Sonia Boudache, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 107951-107951
Open Access | Times Cited: 9
Benoît Hilloulin, Abdelhamid Hafidi, Sonia Boudache, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 107951-107951
Open Access | Times Cited: 9
Weakly supervised deep learning-based concrete aggregates automatic segmentation for assessing separation degree
Mengnan Shi, Tianbo Hua, Zhaohui Yang, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108342-108342
Closed Access | Times Cited: 8
Mengnan Shi, Tianbo Hua, Zhaohui Yang, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108342-108342
Closed Access | Times Cited: 8
Deep learning-based extraction and quantification of features in XCT images of steel corrosion in concrete
Mingyang Zhang, Wei-Lun Wang
Case Studies in Construction Materials (2023) Vol. 20, pp. e02717-e02717
Open Access | Times Cited: 4
Mingyang Zhang, Wei-Lun Wang
Case Studies in Construction Materials (2023) Vol. 20, pp. e02717-e02717
Open Access | Times Cited: 4
Experimental Investigation on the Effects of Mineral Water Composition on the Leaching of Cement-Based Materials
Aliénor Pouyanne, Sonia Boudache, Benoît Hilloulin, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1548-1548
Open Access | Times Cited: 1
Aliénor Pouyanne, Sonia Boudache, Benoît Hilloulin, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1548-1548
Open Access | Times Cited: 1
Paste, aggregate, or air? That is the question
Ekaterina Ossetchkina, Oleksiy Chernoloz, Lucas Herzog Bromerchenkel, et al.
Journal of Microscopy (2024) Vol. 294, Iss. 2, pp. 191-202
Open Access
Ekaterina Ossetchkina, Oleksiy Chernoloz, Lucas Herzog Bromerchenkel, et al.
Journal of Microscopy (2024) Vol. 294, Iss. 2, pp. 191-202
Open Access
Fractal Characterization of Channel-Lining Concrete Based on U-Net Deep Learning under Freeze–Thaw Cycles
Chunxia Zou, Haoran Sun, Jiajun Tang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Chunxia Zou, Haoran Sun, Jiajun Tang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Evaluation of aggregate distribution uniformity using Vision Mamba-based dual networks for concrete aggregate segmentation
Dong Wang, Junxing Zheng, Lin Gao, et al.
Expert Systems with Applications (2024), pp. 126076-126076
Closed Access
Dong Wang, Junxing Zheng, Lin Gao, et al.
Expert Systems with Applications (2024), pp. 126076-126076
Closed Access
