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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:

Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild
Diani Sirimewan, Milad Bazli, Sudharshan N. Raman, et al.
Journal of Environmental Management (2024) Vol. 351, pp. 119908-119908
Open Access | Times Cited: 23

Showing 23 citing articles:

Sustainable urban development: Evaluating the potential of mineral-based construction and demolition waste recycling in emerging economies
Hammadhu HaitherAli, G. Anjali
Sustainable Futures (2024) Vol. 7, pp. 100179-100179
Open Access | Times Cited: 12
Optimally leveraging depth features to enhance segmentation of recyclables from cluttered construction and demolition waste streams
Vineet Prasad, Mehrdad Arashpour
Journal of Environmental Management (2024) Vol. 354, pp. 120313-120313
Open Access | Times Cited: 11
Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study
Zeinab Farshadfar, Siavash H Khajavi, Tomasz Mucha, et al.
Waste Management (2025) Vol. 194, pp. 77-87
Open Access | Times Cited: 1
Mechanisms Driving Technological Innovation Behavior in Construction and Demolition Waste Remanufactured Products via Self-Determination Theory
Xingwei Li, Yi Zhang, Shiqi Xu, et al.
Environmental Technology & Innovation (2025), pp. 104196-104196
Open Access | Times Cited: 1
FE-YOLO: A Lightweight Model for Construction Waste Detection Based on Improved YOLOv8 Model
Yizhong Yang, Yexue Li, Maohu Tao
Buildings (2024) Vol. 14, Iss. 9, pp. 2672-2672
Open Access | Times Cited: 5
Optimal supply chain performance: risk aversion to green innovation
Hao Zhang, Xingwei Li, Zuoyi Ding
Management Decision (2024) Vol. 62, Iss. 12, pp. 3996-4020
Closed Access | Times Cited: 4
Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, et al.
Automation in Construction (2024) Vol. 169, pp. 105894-105894
Closed Access | Times Cited: 4
Change detection network for construction housekeeping using feature fusion and large vision models
Kailai Sun, Zherui Shao, Yang Miang Goh, et al.
Automation in Construction (2025) Vol. 172, pp. 106038-106038
Open Access
ShARP-WasteSeg: A shape-aware approach to real-time segmentation of recyclables from cluttered construction and demolition waste
Vineet Prasad, Mehrdad Arashpour
Waste Management (2025) Vol. 195, pp. 231-239
Open Access
A Deep Learning Approach for Cost-Effective and Environmentally Sustainable Waste Transportation Systems in Developing Countries
Hmamed Hala, Anass Cherrafi, Asmaa Benghabrit
Journal of Cleaner Production (2025), pp. 145314-145314
Closed Access
Automated recognition of contaminated construction and demolition wood waste using deep learning
A. Madini Lakna De Alwis, Milad Bazli, Mehrdad Arashpour
Resources Conservation and Recycling (2025) Vol. 219, pp. 108278-108278
Open Access
Transfer learning for smart construction: Advances and future directions
Gao Yu, Xiaoxiao Xu, Tak Wing Yiu, et al.
Automation in Construction (2025) Vol. 175, pp. 106238-106238
Closed Access
Automated Electro-construction waste Sorting: Computer vision for part-level segmentation
S.M.A.H SENANAYAKE, Mehrdad Arashpour
Waste Management (2025) Vol. 203, pp. 114883-114883
Open Access
Application of Information Theory to Computer Vision and Image Processing
Wendy Flores-Fuentes, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, et al.
Entropy (2024) Vol. 26, Iss. 2, pp. 114-114
Open Access | Times Cited: 2
Real-time instance segmentation of recyclables from highly cluttered construction and demolition waste streams
Vineet Prasad, Mehrdad Arashpour
Journal of Environmental Management (2024) Vol. 372, pp. 123365-123365
Open Access | Times Cited: 2
Lightweight deep learning model for underwater waste segmentation based on sonar images
Yangke Li, Xinman Zhang
Waste Management (2024) Vol. 190, pp. 63-73
Closed Access | Times Cited: 1
Optimizing waste handling with interactive AI: Prompt-guided segmentation of construction and demolition waste using computer vision
Diani Sirimewan, Nilakshan Kunananthaseelan, Sudharshan N. Raman, et al.
Waste Management (2024) Vol. 190, pp. 149-160
Open Access | Times Cited: 1
Remediation of Fluoride-Contaminated Wastes: Chelator-Assisted Washing and Subsequent Immobilization Using CaO and H3PO4
Tomoya Mizuishi, Shafiqur Rahman, Kaori Mitsuboshi, et al.
Chemosphere (2024), pp. 143431-143431
Closed Access | Times Cited: 1
Applying digital technologies in construction waste management for facilitating sustainability
Wenbo Zhao, Jian Li Hao, Guobin Gong, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123560-123560
Closed Access | Times Cited: 1
Advanced Waste Seclusion and Chucking System Using Deep Learning Techniques
S. Shanmuga Priya
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 2210-2216
Open Access
Multi-target detection of waste composition in complex environments based on an improved YOLOX-S model
Rui Zhao, Qihao Zeng, Liping Zhan, et al.
Waste Management (2024) Vol. 190, pp. 398-408
Closed Access
Developing WasteSAM: A novel approach for accurate construction waste image segmentation to facilitate efficient recycling
Seokjae Heo, Seunguk Na
Waste Management & Research The Journal for a Sustainable Circular Economy (2024)
Closed Access
Automatic recognition of construction waste based on unmanned aerial vehicle images and deep learning
Pengjian Cheng, Zhongshi Pei, Yuheng Chen, et al.
Journal of Material Cycles and Waste Management (2024)
Closed Access
The development of a waste management and classification system based on deep learning and Internet of Things
Zhongyong Chen, Yao Xiao, Qi Zhou, et al.
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access
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