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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:

Deep learning approach to bacterial colony classification
Bartosz Zieliński, Anna Plichta, Krzysztof Misztal, et al.
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184554-e0184554
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer
Jinghua Zhang, Chen Li, Yimin Yin, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1013-1070
Open Access | Times Cited: 148
Machine learning and applications in microbiology
Stephen J. Goodswen, Joel Barratt, Paul Kennedy, et al.
FEMS Microbiology Reviews (2021) Vol. 45, Iss. 5
Open Access | Times Cited: 143
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 18
Deep learning imaging analysis to identify bacterial metabolic states associated with carcinogen production
Maysam Orouskhani, Sarwesh Rauniyar, Norma M. Morella, et al.
Discover Imaging. (2025) Vol. 2, Iss. 1
Open Access | Times Cited: 9
Synergizing Artificial Intelligence and Probiotics: A Comprehensive Review of Emerging Applications in Health Promotion and Industrial Innovation
Xin Han, Q. D. Liu, Yun Li, et al.
Trends in Food Science & Technology (2025), pp. 104938-104938
Closed Access | Times Cited: 5
The Gap between Theory and Practice in Function Approximation with Deep Neural Networks
Ben Adcock, Nick Dexter
SIAM Journal on Mathematics of Data Science (2021) Vol. 3, Iss. 2, pp. 624-655
Open Access | Times Cited: 104
Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments
Priya Rani, Shallu Kotwal, Jatinder Manhas, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1801-1837
Open Access | Times Cited: 95
Deep learning approach to describe and classify fungi microscopic images
Bartosz Zieliński, Agnieszka Sroka-Oleksiak, Dawid Rymarczyk, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0234806-e0234806
Open Access | Times Cited: 78
Deep Learning for Imaging and Detection of Microorganisms
Yang Zhang, Hao Jiang, Taoyu Ye, et al.
Trends in Microbiology (2021) Vol. 29, Iss. 7, pp. 569-572
Closed Access | Times Cited: 74
Deep Ensemble Model for Classification of Novel Coronavirus in Chest X‐Ray Images
Fareed Ahmad, Amjad Farooq, Muhammad Usman Ghani Khan
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 64
How Can AI Help Improve Food Safety?
Chenhao Qian, Sarah I. Murphy, Renato H. Orsi, et al.
Annual Review of Food Science and Technology (2022) Vol. 14, Iss. 1, pp. 517-538
Open Access | Times Cited: 55
A new pairwise deep learning feature for environmental microorganism image analysis
Frank Kulwa, Chen Li, Jinghua Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 34, pp. 51909-51926
Open Access | Times Cited: 49
Detecting Semantic Anomalies
Faruk Ahmed, Aaron Courville
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 04, pp. 3154-3162
Open Access | Times Cited: 54
Quantitative evaluation of ImageJ thresholding algorithms for microbial cell counting
Lorenzo Nichele, Valeria Persichetti, Massimiliano Lucidi, et al.
OSA Continuum (2020) Vol. 3, Iss. 6, pp. 1417-1417
Open Access | Times Cited: 53
A New Strategy for Microbial Taxonomic Identification through Micro‐Biosynthetic Gold Nanoparticles and Machine Learning
Ting Yu, Shixuan Su, Jing Hu, et al.
Advanced Materials (2022) Vol. 34, Iss. 11
Closed Access | Times Cited: 37
AI-enabled biosensing for rapid pathogen detection: From liquid food to agricultural water
Jiyoon Yi, Nicharee Wisuthiphaet, Pranav Raja, et al.
Water Research (2023) Vol. 242, pp. 120258-120258
Open Access | Times Cited: 20
Machine learning algorithms in microbial classification: a comparative analysis
Yuandi Wu, S. Andrew Gadsden
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 18
Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology
Virna-Maria Tsitou, D. Rallis, Mariana Tsekova, et al.
Biotechnology & Biotechnological Equipment (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 7
Automated detection of a nonperfusion area caused by retinal vein occlusion in optical coherence tomography angiography images using deep learning
Daisuke Nagasato, Hitoshi Tabuchi, Hiroki Masumoto, et al.
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0223965-e0223965
Open Access | Times Cited: 47
Bacteria Classification using Image Processing and Deep learning
Treesukon Treebupachatsakul, Suvit Poomrittigul
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) (2019)
Closed Access | Times Cited: 44
Automated Bacterial Classifications Using Machine Learning Based Computational Techniques: Architectures, Challenges and Open Research Issues
Shallu Kotwal, Priya Rani, Tasleem Arif, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2469-2490
Open Access | Times Cited: 40
Gut Microbiota: Critical Controller and Intervention Target in Brain Aging and Cognitive Impairment
Hui Li, Junjun Ni, Hong Qing
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 37
NemaNet: A convolutional neural network model for identification of soybean nematodes
André Abade, Lucas Faria Porto, Paulo Afonso Ferreira, et al.
Biosystems Engineering (2021) Vol. 213, pp. 39-62
Closed Access | Times Cited: 36
Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions
Satish Kumar, Tasleem Arif, Abdullah Shawan Alotaibi, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2013-2039
Open Access | Times Cited: 26
A new era in healthcare: The integration of artificial intelligence and microbial
Da-Liang Huo, Xiaogang Wang
Medicine in Novel Technology and Devices (2024) Vol. 23, pp. 100319-100319
Open Access | Times Cited: 6
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