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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:

Applications of convolutional neural networks for intelligent waste identification and recycling: A review
Ting-Wei Wu, Hua Zhang, Wei Peng, et al.
Resources Conservation and Recycling (2022) Vol. 190, pp. 106813-106813
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Smart waste management: A paradigm shift enabled by artificial intelligence
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 2, pp. 244-263
Open Access | Times Cited: 59
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
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: 21
Recent Developments in Technology for Sorting Plastic for Recycling: The Emergence of Artificial Intelligence and the Rise of the Robots
Cesar Lubongo, Mohammed A. A. Bin Daej, Paschalis Alexandridis
Recycling (2024) Vol. 9, Iss. 4, pp. 59-59
Open Access | Times Cited: 16
A state-of-the-art review on robotics in waste sorting: scope and challenges
Anushka G. Satav, Sunidhi Kubade, Chinmay Amrutkar, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 17, Iss. 6, pp. 2789-2806
Closed Access | Times Cited: 36
Enablers to computer vision technology for sustainable E-waste management
Himanshu Sharma, Harish Kumar, Sachin Kumar Mangla
Journal of Cleaner Production (2023) Vol. 412, pp. 137396-137396
Closed Access | Times Cited: 28
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 10, pp. 29505-29529
Closed Access | Times Cited: 23
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
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
Md. Mosarrof Hossen, Molla E. Majid, Saad Bin Abul Kashem, et al.
IEEE Access (2024) Vol. 12, pp. 13809-13821
Open Access | Times Cited: 14
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: 10
Tracking dynamics characteristics of tidal flats using landsat time series and Google Earth Engine cloud platform
Chao Chen, Weiwei Sun, Zhaohui Yang, et al.
Resources Conservation and Recycling (2024) Vol. 209, pp. 107751-107751
Closed Access | Times Cited: 9
DSYOLO-trash: An attention mechanism-integrated and object tracking algorithm for solid waste detection
Wanqi Ma, Hong Chen, Wenkang Zhang, et al.
Waste Management (2024) Vol. 178, pp. 46-56
Closed Access | Times Cited: 8
Improving operations through a lean AI paradigm: a view to an AI-aided lean manufacturing via versatile convolutional neural network
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 11-12, pp. 5343-5419
Closed Access | Times Cited: 8
Similarities and differences in waste composition over time and space determined by multivariate distance analyses
David J. Tonjes, Yiyi Wang, Firman M. Firmansyah, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0308367-e0308367
Open Access | Times Cited: 1
Monitoring street-level improper dumpsites via a multi-modal and LLM-based framework
Siwei Zhang, Jun Ma, Feifeng Jiang
Resources Conservation and Recycling (2025) Vol. 218, pp. 108227-108227
Closed Access | Times Cited: 1
Intelligent approach for the industrialization of deep learning solutions applied to fault detection
Ivo Perez Colo, Carolina Saavedra Sueldo, Mariano De Paula, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120959-120959
Closed Access | Times Cited: 17
GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management
Md. Mosarrof Hossen, Azad Ashraf, Mazhar Hasan, et al.
Waste Management (2023) Vol. 174, pp. 439-450
Closed Access | Times Cited: 17
Applications of convolutional neural networks in education: A systematic literature review
Lenardo Chaves e Silva, Álvaro Sobrinho, Thiago Cordeiro, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120621-120621
Closed Access | Times Cited: 16
Semi-supervised segmentation for construction and demolition waste recognition in-the-wild: Adversarial dual-view networks
Diani Sirimewan, Mehrtash Harandi, Himashi Peiris, et al.
Resources Conservation and Recycling (2024) Vol. 202, pp. 107399-107399
Open Access | Times Cited: 6
A Vision Detection Scheme Based on Deep Learning in a Waste Plastics Sorting System
Shengping Wen, Yue Yuan, Jingfu Chen
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4634-4634
Open Access | Times Cited: 15
Combining spectroscopy and machine learning for rapid identification of plastic waste: Recent developments and future prospects
Jian Yang, Yupeng Xu, Pu Chen, et al.
Journal of Cleaner Production (2023) Vol. 431, pp. 139771-139771
Closed Access | Times Cited: 15
Energy processes prediction by a convolutional radial basis function network
José de Jesús Rubio, D.L Quiroz García, Humberto Sossa, et al.
Energy (2023) Vol. 284, pp. 128470-128470
Closed Access | Times Cited: 14
A survey of smart dustbin systems using the IoT and deep learning
Menaka Pushpa Arthur, S. Shoba, A.R. Pandey
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 5
The Role of Robotics and Automated Systems in Refining Waste Separation Processes
Sonali Rastogi, Pranshul Sethi, Harsh Kumar Pandey, et al.
Advances in environmental engineering and green technologies book series (2025), pp. 441-490
Closed Access
Prototype of AI-powered assistance system for digitalisation of manual waste sorting
Julian Aberger, Shreya Shami, B. Hacker, et al.
Waste Management (2025) Vol. 194, pp. 366-378
Open Access
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