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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:

Recyclable waste image recognition based on deep learning
Qiang Zhang, Xujuan Zhang, Xiaojun Mu, et al.
Resources Conservation and Recycling (2021) Vol. 171, pp. 105636-105636
Closed Access | Times Cited: 122

Showing 1-25 of 122 citing articles:

Artificial intelligence for waste management in smart cities: a review
Bingbing Fang, Jiacheng Yu, Zhonghao Chen, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 1959-1989
Open Access | Times Cited: 222
Recycling of spent Lithium-ion Batteries: A comprehensive review for identification of main challenges and future research trends
Guangdong Tian, Gang Yuan, А.А. Александров, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102447-102447
Closed Access | Times Cited: 143
Computer vision for solid waste sorting: A critical review of academic research
Weisheng Lu, Junjie Chen
Waste Management (2022) Vol. 142, pp. 29-43
Closed Access | Times Cited: 127
Garbage classification system based on improved ShuffleNet v2
Zhichao Chen, Jie Yang, Lifang Chen, et al.
Resources Conservation and Recycling (2021) Vol. 178, pp. 106090-106090
Closed Access | Times Cited: 126
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Kai Meng, Guiyin Xu, Xianghui Peng, et al.
Resources Conservation and Recycling (2022) Vol. 182, pp. 106207-106207
Closed Access | Times Cited: 106
Leveraging digital technologies for circular economy in construction industry: a way forward
Navodana Rodrigo, Hossein Omrany, Ruidong Chang, et al.
Smart and Sustainable Built Environment (2023) Vol. 13, Iss. 1, pp. 85-116
Closed Access | Times Cited: 60
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Muhammad Tajammal Munir, Bing Li, Muhammad Naqvi
Fuel (2023) Vol. 348, pp. 128548-128548
Closed Access | Times Cited: 54
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: 32
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
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: 20
An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability
Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, et al.
Knowledge-Based Systems (2025), pp. 113028-113028
Open Access | Times Cited: 3
Identifying plastic materials in post-consumer food containers and packaging waste using terahertz spectroscopy and machine learning
Kazuaki Okubo, Gaku Manago, Tadao Tanabe, et al.
Waste Management (2025) Vol. 196, pp. 32-41
Open Access | Times Cited: 2
Using computer vision to recognize composition of construction waste mixtures: A semantic segmentation approach
Weisheng Lu, Junjie Chen, Fan Xue
Resources Conservation and Recycling (2021) Vol. 178, pp. 106022-106022
Closed Access | Times Cited: 89
Smart Waste Management and Classification Systems Using Cutting Edge Approach
Sehrish Munawar Cheema, Abdul Hannan, Ivan Miguel Pires
Sustainability (2022) Vol. 14, Iss. 16, pp. 10226-10226
Open Access | Times Cited: 58
Computer vision to recognize construction waste compositions: A novel boundary-aware transformer (BAT) model
Zhiming Dong, Junjie Chen, Weisheng Lu
Journal of Environmental Management (2022) Vol. 305, pp. 114405-114405
Closed Access | Times Cited: 52
Simultaneous analysis of mildew degree and aflatoxin B1 of wheat by a multi-task deep learning strategy based on microwave detection technology
Jihong Deng, Lihua Ni, Xue Bai, et al.
LWT (2023) Vol. 184, pp. 115047-115047
Open Access | Times Cited: 24
Deep learning solutions for smart city challenges in urban development
Pengjun Wu, Zhanzhi Zhang, Xueyi Peng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Data Science Applications in Circular Economy: Trends, Status, and Future
Bu Zhao, Zongqi Yu, Hongze Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6457-6474
Closed Access | Times Cited: 12
Optimization of automated garbage recognition model based on ResNet-50 and weakly supervised CNN for sustainable urban development
Yan Zhou, Zhaoqi Wang, Shirong Zheng, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 415-427
Closed Access | Times Cited: 11
Qualitative classification of waste garments for textile recycling based on machine vision and attention mechanisms
Rui Tian, Ziqi Lv, Yuhan Fan, et al.
Waste Management (2024) Vol. 183, pp. 74-86
Closed Access | Times Cited: 10
A review of hyperspectral imaging-based plastic waste detection state-of-the-arts
Owen Tamin, Ervin Gubin Moung, Jamal Ahmad Dargham, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 3, pp. 3407-3407
Open Access | Times Cited: 22
From prospecting to mining: A review of enabling technologies, LCAs, and LCCAs for improved construction and demolition waste management
Jingbo Jiang, Chunli Chu, Lulu Song, et al.
Waste Management (2023) Vol. 159, pp. 12-26
Closed Access | Times Cited: 20
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: 20
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: 7
Multi-modal deep learning networks for RGB-D pavement waste detection and recognition
Yangke Li, Xinman Zhang
Waste Management (2024) Vol. 177, pp. 125-134
Closed Access | Times Cited: 7
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