Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prediction of Analyte Retention Time in Liquid Chromatography
Paul R. Haddad, Maryam Taraji, Roman Szücs
Analytical Chemistry (2020) Vol. 93, Iss. 1, pp. 228-256
Closed Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening
Reza Aalizadeh, ‪Nikiforos Alygizakis, Emma Schymanski, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 33, pp. 11601-11611
Open Access | Times Cited: 129
Prediction of Chromatographic Retention Time of a Small Molecule from SMILES Representation Using a Hybrid Transformer-LSTM Model
Sargol Mazraedoost, Hadi Sedigh Malekroodi, Petar Žuvela, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 2
Recent advances of innovative and high-efficiency stationary phases for chromatographic separations
Yan Wu, Ning Zhang, Kaixing Luo, et al.
TrAC Trends in Analytical Chemistry (2022) Vol. 153, pp. 116647-116647
Closed Access | Times Cited: 63
Perspective on the Future Approaches to Predict Retention in Liquid Chromatography
Fabrice Gritti
Analytical Chemistry (2021) Vol. 93, Iss. 14, pp. 5653-5664
Closed Access | Times Cited: 59
Advanced analytical and informatic strategies for metabolite annotation in untargeted metabolomics
Yuping Cai, Zhiwei Zhou, Zheng‐Jiang Zhu
TrAC Trends in Analytical Chemistry (2022) Vol. 158, pp. 116903-116903
Closed Access | Times Cited: 56
Untargeted metabolomics by liquid chromatography‐mass spectrometry for food authentication: A review
Peng Zhong, Xiaoqun Wei, Xiangmei Li, et al.
Comprehensive Reviews in Food Science and Food Safety (2022) Vol. 21, Iss. 3, pp. 2455-2488
Open Access | Times Cited: 48
Prediction of Retention Indices in LC-HRMS for Enhanced Structural Identification of Organic Micropollutants in Water: Selectivity-Based Filtration
Ardiana Kajtazi, Marin Kajtazi, Maike Felipe Santos Barbetta, et al.
Analytical Chemistry (2025) Vol. 97, Iss. 1, pp. 65-74
Closed Access | Times Cited: 1
From Reverse Phase Chromatography to HILIC: Graph Transformers Power Method-Independent Machine Learning of Retention Times
Cailum M. K. Stienstra, Emir Nazdrajić, W. Scott Hopkins
Analytical Chemistry (2025)
Closed Access | Times Cited: 1
Deep learning for retention time prediction in reversed-phase liquid chromatography
E. S. Fedorova, Dmitriy D. Matyushin, I. V. Plyushchenko, et al.
Journal of Chromatography A (2021) Vol. 1664, pp. 462792-462792
Closed Access | Times Cited: 53
Quantitative structure retention relationship (QSRR) modelling for Analytes’ retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance
Theodoros Liapikos, Ch. Zisi, Dritan Kodra, et al.
Journal of Chromatography B (2022) Vol. 1191, pp. 123132-123132
Closed Access | Times Cited: 37
Retention Time Prediction with Message-Passing Neural Networks
Sergey Osipenko, Е. Н. Николаев, Yury Kostyukevich
Separations (2022) Vol. 9, Iss. 10, pp. 291-291
Open Access | Times Cited: 31
Generic and accurate prediction of retention times in liquid chromatography by post–projection calibration
Yan Zhang, Fei Liu, Xiu Qin Li, et al.
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
Performance and robustness of small molecule retention time prediction with molecular graph neural networks in industrial drug discovery campaigns
Daniel Vik, David Pii, Chirag Mudaliar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data
Alexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 47, pp. 15633-15641
Open Access | Times Cited: 39
Retention time prediction in hydrophilic interaction liquid chromatography with graph neural network and transfer learning
Qiong Yang, Hongchao Ji, Xiaqiong Fan, et al.
Journal of Chromatography A (2021) Vol. 1656, pp. 462536-462536
Closed Access | Times Cited: 33
Strategies for structure elucidation of small molecules based on LC–MS/MS data from complex biological samples
Zhitao Tian, Fangzhou Liu, Dongqin Li, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5085-5097
Open Access | Times Cited: 24
InSpectra – A platform for identifying emerging chemical threats
Mathieu Feraud, Jake O’Brien, Saer Samanipour, et al.
Journal of Hazardous Materials (2023) Vol. 455, pp. 131486-131486
Open Access | Times Cited: 15
Enhancing compound confidence in suspect and non-target screening through machine learning-based retention time prediction
Dehao Song, Ting Tang, Rui Wang, et al.
Environmental Pollution (2024) Vol. 347, pp. 123763-123763
Closed Access | Times Cited: 6
Retention modeling of therapeutic peptides in sub‐/supercritical fluid chromatography
Jonas Neumann, Sebastian Schmidtsdorff, Alexander H. Schmidt, et al.
Separation Science Plus (2024) Vol. 7, Iss. 5
Open Access | Times Cited: 5
Deep Neural Network Pretrained by Weighted Autoencoders and Transfer Learning for Retention Time Prediction of Small Molecules
Ran Ju, Xinyu Liu, Fujian Zheng, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 47, pp. 15651-15658
Closed Access | Times Cited: 31
Progress and prediction of multicomponent quantification in complex systems with practical LC-UV methods
Xi Chen, Zhao Yang, Yang Xu, et al.
Journal of Pharmaceutical Analysis (2022) Vol. 13, Iss. 2, pp. 142-155
Open Access | Times Cited: 20
Screening and prioritization of organic chemicals in a large river basin by suspect and non-target analysis
Jiahui Zhao, Li‐Xin Hu, Sheng Xiao, et al.
Environmental Pollution (2023) Vol. 333, pp. 122098-122098
Closed Access | Times Cited: 13
Assisted Active Learning for Model-Based Method Development in Liquid Chromatography
Emery Bosten, Marie Pardon, Kai Chen, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 33, pp. 13699-13709
Closed Access | Times Cited: 5
Triple three-dimensional MS/MS spectrum facilitates quantitative ginsenosides-targeted sub-metabolome characterization in notoginseng
Ke Zhang, Jinru Jia, Ting Li, et al.
Acta Pharmaceutica Sinica B (2024) Vol. 14, Iss. 9, pp. 4045-4058
Open Access | Times Cited: 4
The secret of reversed-phase/weak cation exchange retention mechanisms in mixed-mode liquid chromatography applied for small drug molecule analysis
Bojana Svrkota, Jovana Krmar, Ana Protić, et al.
Journal of Chromatography A (2023) Vol. 1690, pp. 463776-463776
Closed Access | Times Cited: 11
Page 1 - Next Page

Scroll to top