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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:

Current trends in chromatographic prediction using artificial intelligence and machine learning
Yash Raj Singh, Darshil B. Shah, Mangesh Kulkarni, et al.
Analytical Methods (2023) Vol. 15, Iss. 23, pp. 2785-2797
Closed Access | Times Cited: 14

Showing 14 citing articles:

AI in analytical chemistry: Advancements, challenges, and future directions
Rafael Cardoso Rial
Talanta (2024) Vol. 274, pp. 125949-125949
Closed Access | Times Cited: 32
Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning
Hao Xu, Wenchao Wu, Yuntian Chen, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review
Vishal Gupta, Gayatri Jamwal, G. Rai, et al.
Biocatalysis and Agricultural Biotechnology (2024) Vol. 59, pp. 103260-103260
Closed Access | Times Cited: 5
Investigating the Nonlinear Effect of Land Use and Built Environment on Public Transportation Choice Using a Machine Learning Approach
Zhenbao Wang, Shuyue Liu, Haitao Lian, et al.
Land (2024) Vol. 13, Iss. 8, pp. 1302-1302
Open Access | Times Cited: 4
Advances in AI-Driven Retention Prediction for Different Chromatographic Techniques: Unraveling the Complexity
Yash Raj Singh, Darshil B. Shah, Dilip Maheshwari, et al.
Critical Reviews in Analytical Chemistry (2023) Vol. 54, Iss. 8, pp. 3559-3569
Closed Access | Times Cited: 10
Estimation and Uncertainty Quantification of Solvent Strength Parameters in Gradient Elution of Chromatography Using Sequential Monte Carlo Method
Ziting Yuan, Kensuke Suzuki, Yota Yamamoto, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 114-114
Open Access
Artificial intelligence driven approaches in phytochemical research: trends and prospects
Ressin Varghese, Harshita Shringi, Thomas Efferth, et al.
Phytochemistry Reviews (2025)
Open Access
Algorithm in chemistry: molecular logic gate-based data protection
Yu Dong, Shiyu Feng, Weiguo Huang, et al.
Chemical Society Reviews (2025)
Closed Access
SolPred: A machine learning based mobile phase composition prediction tool for the pharmaceutical compounds analysis in RP-HPLC
Yash Raj Singh, Darshil B. Shah, Mangesh Kulkarni, et al.
Journal of Liquid Chromatography & Related Technologies (2025), pp. 1-12
Closed Access
Neutrosophic linear model for artificial intelligence: addressing uncertainty in training and testing phases
Muhammad Aslam
International Journal of Data Science and Analytics (2025)
Closed Access
Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review
Babak Kavianpour, Farzad Piadeh, Mohammad Gheibi, et al.
Chemosphere (2024) Vol. 368, pp. 143692-143692
Open Access | Times Cited: 2
Intelligent Recommendation Systems Powered by Consensus Neural Networks: The Ultimate Solution for Finding Suitable Chiral Chromatographic Systems?
S. Sagrado, Carlos Pardo-Cortina, Laura Escuder‐Gilabert, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 29, pp. 12205-12212
Open Access | Times Cited: 1
Two-Dimensional Liquid Chromatography Advancing Metabolomics Research
Yatendra Singh, Sixue Chen
IntechOpen eBooks (2024)
Closed Access
Chromatography-Based Metabolomics as a Tool in Bioorganic Research of Honey
Marina Kranjac, Piotr Marek Kuś, Saša Prđun, et al.
Metabolites (2024) Vol. 14, Iss. 11, pp. 606-606
Open Access
Application of Artificial Intelligence to Quantitative Structure–Retention Relationship Calculations in Chromatography
Jingru Xie, Si Chen, Liang Zhao, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 1, pp. 101155-101155
Open Access
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