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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:

Office Garbage Intelligent Classification Based on Inception-v3 Transfer Learning Model
Jiewen Feng, Xiaoyu Tang
Journal of Physics Conference Series (2020) Vol. 1487, Iss. 1, pp. 012008-012008
Open Access | Times Cited: 20

Showing 20 citing articles:

Tomato Quality Classification Based on Transfer Learning Feature Extraction and Machine Learning Algorithm Classifiers
Hassan Shabani Mputu, Ahmed Abdel-Mawgood, Atsushi Shimada, et al.
IEEE Access (2024) Vol. 12, pp. 8283-8295
Open Access | Times Cited: 16
Towards Sustainable Recycling: Advancements in AI-Based Waste Classification
O. Chacón-Albero, M. Campos-Mocholí, Cedric Marco‐Detchart, et al.
Communications in computer and information science (2025), pp. 15-27
Closed Access
Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants
Pensiri Akkajit, Arsanchai Sukkuea, Boonnisa Thongnonghin
Ecological Informatics (2023) Vol. 78, pp. 102328-102328
Closed Access | Times Cited: 12
Learning fusion feature representation for garbage image classification model in human–robot interaction
Xi Li, Li Tian, Shaoyi Li, et al.
Infrared Physics & Technology (2022) Vol. 128, pp. 104457-104457
Closed Access | Times Cited: 21
Waste Management System using Waste Classification on Mobile Application
Mujalin Polchan, Ampai Pukao, Tapana Cheunban, et al.
2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (2023), pp. 229-233
Closed Access | Times Cited: 5
Towards Indoor Suctionable Object Classification and Recycling: Developing a Lightweight AI Model for Robot Vacuum Cleaners
Qian Huang
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10031-10031
Open Access | Times Cited: 5
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
Waste Classification Using Artificial Intelligence Techniques:Literature Review
Israa Nasir, Ghaidaa Abdul Aziz Al-Talib
Technium Romanian Journal of Applied Sciences and Technology (2023) Vol. 5, pp. 49-59
Open Access | Times Cited: 3
TSRes-YOLO: An accurate and fast cascaded detector for waste collection and transportation supervision
Yanhong He, Junfeng Li
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106997-106997
Closed Access | Times Cited: 3
An Automated Approach to Waste Classification Using Deep Learning
S Loganayagi, Usha Divakarla
(2023), pp. 01-10
Closed Access | Times Cited: 2
Waste Collection and Transportation Supervision Based on Improved YOLOv3 Model
Yanhong He, Junfeng Li, Shuhang Chen, et al.
IEEE Access (2022) Vol. 10, pp. 81836-81845
Open Access | Times Cited: 3
A Hybrid Model for Household Waste Sorting (HWS) Based on an Ensemble of Convolutional Neural Networks
Nengkai Wu, Gui Wang, Dongyao Jia
Sustainability (2024) Vol. 16, Iss. 15, pp. 6500-6500
Open Access
Design of a garbage classification system based on deep transfer learning
Tang Zucai, Luping Wang, Qu Miaoyan, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 16, Iss. 1, pp. 225-232
Closed Access
MWaste: A Deep Learning Approach to Manage Household Waste
Suman Kunwar
(2023)
Open Access | Times Cited: 1
MWaste: An app that uses deep learning to manage household waste
Suman Kunwar
Clean Technologies and Recycling (2023) Vol. 3, Iss. 3, pp. 119-133
Open Access | Times Cited: 1
A deep learning model to detect the brain tumor based on magnetic resonance images
Kelvin Leonardi Kohsasih, Muhammad Dipo Agung Rizky, Rika Rosnelly, et al.
JURNAL INFOTEL (2022) Vol. 14, Iss. 3, pp. 203-208
Open Access | Times Cited: 1
Classification of Shape Bean Coffee Using Convolutional Neural Network
PPPANW Fikrul Ilmi RH Zer, Rika Rosnelly, Wanayumini Wanayumini
International Conference on Information Science and Technology Innovation (ICoSTEC) (2023) Vol. 2, Iss. 1, pp. 6-10
Open Access
DETECTION OF CUMIN SEEDS ADULTERATION BASED ON THERMAL IMAGING USING DEEP LEARNING TECHNIQUE
M. HAJERA, M SANTHI, B. Divya
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023) Vol. 07, Iss. 10, pp. 1-11
Open Access
DETECTION OF CUMIN SEEDS ADULTERATION BASED ON THERMAL IMAGING USING DEEP LEARNING TECHNIQUE
M. HAJERA, M SANTHI, B. Divya
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2023) Vol. 07, Iss. 10, pp. 1-11
Open Access
Research on the Recognition and Classification Method of Recyclable Garbage Based on Improved YOLOv7
Yongqiang Shi, Xuyue Li, Dongye Sui, et al.
2021 China Automation Congress (CAC) (2023), pp. 878-883
Closed Access
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