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OpenAlex Citation Counts

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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:

Classification and estimation of the mass composition of recycled aggregates by deep neural networks
Jérôme Lux, Jean David Lau Hiu Hoong, Pierre-Yves Mahieux, et al.
Computers in Industry (2023) Vol. 148, pp. 103889-103889
Open Access | Times Cited: 15

Showing 15 citing articles:

Machine learning in construction and demolition waste management: Progress, challenges, and future directions
Yu Gao, Jiayuan Wang, Xiaoxiao Xu
Automation in Construction (2024) Vol. 162, pp. 105380-105380
Closed Access | Times Cited: 27
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: 38
Revolutionizing construction and demolition waste sorting: Insights from artificial intelligence and robotic applications
Shanuka Dodampegama, Lei Hou, Ehsan Asadi, et al.
Resources Conservation and Recycling (2023) Vol. 202, pp. 107375-107375
Open Access | Times Cited: 23
CODD: A benchmark dataset for the automated sorting of construction and demolition waste
Demetris Demetriou, Pavlos Mavromatidis, M. Petrou, et al.
Waste Management (2024) Vol. 178, pp. 35-45
Closed Access | Times Cited: 14
Analyzing mixed construction and demolition waste in material recovery facilities: Evolution, challenges, and applications of computer vision and deep learning
Adrian Langley, Matthew Lonergan, Tao Huang, et al.
Resources Conservation and Recycling (2025) Vol. 217, pp. 108218-108218
Open Access
Real-time evaluation of the blending uniformity of industrially produced gravelly soil based on Cond-YOLOv8-seg
Yike Hu, Jiajun Wang, Xiaoling Wang, et al.
Journal of Industrial Information Integration (2024) Vol. 39, pp. 100603-100603
Closed Access | Times Cited: 4
Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques
Xiaodong Hu, Bo Xia, Yüjie Guo, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 762-762
Open Access
Chemometric-driven quantification of construction and demolition waste using Raman spectroscopy and SWIR: Enhancing sustainability in the ceramic sector
Sonia Marín-Cortés, María Fernández-Álvarez, A. Moure, et al.
Resources Conservation and Recycling (2023) Vol. 199, pp. 107259-107259
Open Access | Times Cited: 10
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
Rapid quality control for recycled coarse aggregates (RCA) streams: Multi-sensor integration for advanced contaminant detection
Cheng Chang, Francesco Di Maio, Rajeev Bheemireddy, et al.
Computers in Industry (2024) Vol. 164, pp. 104196-104196
Open Access | Times Cited: 2
Bibliometric Analysis of Bio- and Earth-Based Building Materials: Current and Future Trends
Séverine Rosa Latapie, Ariane Abou‐Chakra, Vincent Sabathier
Construction Materials (2023) Vol. 3, Iss. 4, pp. 474-508
Open Access | Times Cited: 6
Exploring and Assessing Construction Companies' ESG Performance in Sustainability
Xue Lei, Kunjian Zhao
Global NEST Journal (2024)
Open Access
Fresh Concrete Properties from Stereoscopic Image Sequences
Max F. Meyer, Amadeus Langer, Max Mehltretter, et al.
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2024) Vol. 92, Iss. 5, pp. 517-529
Open Access
A hybrid classification and evaluation method based on deep learning for decoration and renovation waste in view of recycling
Pujin Wang, Jianzhuang Xiao, Ruo-Yu Liu, et al.
Waste Management (2024) Vol. 191, pp. 1-12
Closed Access
Multi-Task Decoupled Convolutional Neural Network for Efficient Segmentation of Densely Distributed Coal and Gangue
Huajie Liu, Ke Xu
(2023)
Closed Access
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