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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:

Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications
Md Hasan-Ur Rahman, Rabbi Sikder, Manoj Tripathi, et al.
Chemosensors (2024) Vol. 12, Iss. 7, pp. 140-140
Open Access | Times Cited: 10

Showing 10 citing articles:

Advancements in magnetic nanomaterial-assisted sensitive detection of foodborne bacteria: Dual-recognition strategies, functionalities, and multiplexing applications
Shipeng Gao, Zhangkun Wei, Xueyun Zheng, et al.
Food Chemistry (2025) Vol. 478, pp. 143626-143626
Closed Access | Times Cited: 2
Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment
Md Hasan-Ur Rahman, Rabbi Sikder, Tanvir Ahamed Tonmoy, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106941-106941
Closed Access
Stochastic generalization models learn to comprehensively detect volatile organic compounds associated with foodborne pathogens via Raman spectroscopy
Bohong Zhang, Anand K. Nambisan, Abhishek Prakash Hungund, et al.
RSC Advances (2025) Vol. 15, Iss. 7, pp. 4847-4860
Open Access
Bacterial Identification in Sers-Integrated Microfluidics Using Cnn-Driven 2d Classification of 1d Spectra
Mehdi Feizpour, Halewijn Van den Bosche, L. P. Melikyan, et al.
(2025)
Closed Access
Artificial Intelligence-Powered Surface-Enhanced Raman Spectroscopy for Biomedical Applications
Xinyuan Bi, X. Ai, Zongyu Wu, et al.
Analytical Chemistry (2025)
Closed Access
Rapid and accurate identification of foodborne bacteria: a combined approach using confocal Raman micro-spectroscopy and explainable machine learning
Qiancheng Tu, Miaoyun Li, Zhiyuan Sun, et al.
Analytical and Bioanalytical Chemistry (2025)
Closed Access
Advancing Food Security: The Role of Machine Learning in Pathogen Detection
Helen Onyeaka, Adenike A. Akinsemolu, Taghi Miri, et al.
Applied Food Research (2024), pp. 100532-100532
Open Access | Times Cited: 4
Improving Machine Learning–Based Bacterial Discrimination by Learning Single‐Cell Raman Data From Multiple Growth Phases
Norihiko Oda, Nanako Kanno, Shingo Kato, et al.
Journal of Raman Spectroscopy (2025)
Closed Access
Raman spectroscopy – a visit to the literature on plant, food, and agricultural studies
Ernane Miranda Lemes
Journal of the Science of Food and Agriculture (2024)
Closed Access
Lighting the Path: Raman Spectroscopy’s Journey Through the Microbial Maze
Markus Salbreiter, Sandra Baaba Frempong, Shimon Even, et al.
Molecules (2024) Vol. 29, Iss. 24, pp. 5956-5956
Open Access
IoT, Blockchain, Big Data and Artificial Intelligence (IBBA) Framework—For Real-Time Food Safety Monitoring
Siva Peddareddigari, S. Vijayan, Annamalai Manickavasagan
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 105-105
Open Access
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