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:

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

Showing 12 citing articles:

Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
Binbin Hu, Yaodan Dai, Haidong Zhou, et al.
Journal of Hazardous Materials (2024) Vol. 474, pp. 134865-134865
Closed Access | Times Cited: 14

Advancements and challenges in microplastic detection and risk assessment: Integrating AI and standardized methods
Hailong Zhang, Qiannan Duan, Pengwei Yan, et al.
Marine Pollution Bulletin (2025) Vol. 212, pp. 117529-117529
Closed Access | Times Cited: 1

Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
Abdul Gaffar Sheik, Arvind Kumar, Chandra Sainadh Srungavarapu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110132-110132
Open Access | Times Cited: 1

Automatic microplastic classification using dual-modality spectral and image data for enhanced accuracy
Arsanchai Sukkuea, Jakkaphong Inpun, Phaothep Cherdsukjai, et al.
Marine Pollution Bulletin (2025) Vol. 213, pp. 117665-117665
Closed Access

Advancing microplastics detection and prediction: integrating traditional methods with machine learning for environmental and food safety application
Chi Zhang, Liwen Xiao, Jing Jing Wang, et al.
Trends in Food Science & Technology (2025), pp. 104964-104964
Closed Access

Deep Classification of Microplastics Through Image Fusion Techniques
Paolo Russo, Fabiana Di Ciaccio
IEEE Access (2024) Vol. 12, pp. 134852-134861
Open Access | Times Cited: 3

Using Convolutional Neural Network for Behavior Classification of Group-Housed Pigs
Arsanchai Sukkuea, Pensiri Akkajit
Proceedings of the World Congress on Civil, Structural, and Environmental Engineering (2024)
Open Access | Times Cited: 1

Modeling of Microplastic Contamination Using Soft Computational Methods: Advances, Challenges, and Opportunities
Johnbosco C. Egbueri, Daniel A. Ayejoto, Johnson C. Agbasi, et al.
Emerging contaminants and associated treatment technologies (2024), pp. 553-579
Closed Access | Times Cited: 1

Enhanced Detection and Classification of Microplastics in Marine Environments Using Deep Learning
Pensiri Akkajit, Md Eshrat E. Alahi, Arsanchai Sukkuea
Regional Studies in Marine Science (2024), pp. 103880-103880
Closed Access | Times Cited: 1

Deep Learning-Based Classification of Macrofungi: Comparative Analysis of Advanced Models for Accurate Fungi Identification
Şifa Özsarı, Eda Kumru, Fatih Ekinci, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7189-7189
Open Access | Times Cited: 1

Image segmentation and CNN-based deep learning architectures for the modelling on particulate matter formation during solid fuels combustion
Yanchi Jiang, Lanting Zhuo, Xiaojiang Wu, et al.
Fuel Processing Technology (2024) Vol. 267, pp. 108176-108176
Closed Access

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