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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 of Organic and Solid Waste Using Deep Convolutional Neural Networks
Rushnan Faria, Fahmida Ahmed, Annesha Das, et al.
(2021), pp. 01-06
Closed Access | Times Cited: 13

Showing 13 citing articles:

Solid Waste Image Classification Using Deep Convolutional Neural Network
Nonso Nnamoko, Joseph Barrowclough, Jack Procter
Infrastructures (2022) Vol. 7, Iss. 4, pp. 47-47
Open Access | Times Cited: 38
DenseNet201-Based Waste Material Classification Using Transfer Learning Approach
Michael Tang, Kee Chuong Ting, Nur Hidayatullah Rashidi
Applied Mathematics and Computational Intelligence (AMCI) (2024) Vol. 13, Iss. 2, pp. 113-120
Open Access | Times Cited: 3
Intelligent Waste Segregation Technique Using CNN
D. Nagajyothi, Shaik Ashik Ali, V. Jyothi, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 6
Sustainable Waste Management with AI: Waste Classification Using Deep Learning and IoT-Based Analysis of CH4 Production
Biplov Paneru, Krishna Bikram Shah, Bishwash Paneru, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Application of Machine Learning in Plastic Waste Detection and Classification: A Systematic Review
Edgar Ovidio Barrón Ramos, Arminda Lopes, Fábio Mendonça
Processes (2024) Vol. 12, Iss. 8, pp. 1632-1632
Open Access | Times Cited: 1
A comprehensive review of the role of soft computing techniques in municipal solid waste management
Thankaraja Raja Sree, S. Kanmani
Environmental Technology Reviews (2023) Vol. 13, Iss. 1, pp. 168-185
Closed Access | Times Cited: 3
IOT based Waste Segregation Using Deep Learning
Atharv Dahale
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 04, pp. 1-5
Open Access
Scalable Deep Learning Techniques for Automated Waste Segregation in Smart City Environments
Preet Singh, Taniya Hasija, KR Ramkumar
(2024), pp. 1-6
Closed Access
Smart Ecological Points, a Strategy to Face the New Challenges in Solid Waste Management in Colombia
Juan Carlos Vesga Ferreira, Faver Adrian Amorocho Sepulveda, Harold Esneider Perez Waltero
(2023)
Open Access | Times Cited: 1
A Fusion of Three Custom-Tailored Deep Learning Architectures for Waste Classification
N. Juber Rahman, Sajib Kumar Das
(2022), pp. 1-6
Closed Access | Times Cited: 2
Solid Waste Identification and Classification Method Based on Feature Selection and Hybrid ResNet CNN Models in Smart Environment
R. Ramya, Shilpa Shree, S. Yogeshwari, et al.
Lecture notes in networks and systems (2023), pp. 301-313
Closed Access
Algorithm Based on Deep Learning Techniques for Classification of Solid Waste in Recycling Plants
C. Carrillo, Ciro Rodríguez, Martha Rocío Gonzales Loli, et al.
(2023), pp. 211-217
Closed Access
Conventional Machine Learning Approach for Waste Classification
Kharittha Jangsamsi
(2023), pp. 7-12
Open Access
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