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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:

Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network
Hao Xu, Jinglong Lin, Dongxiao Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24

Showing 24 citing articles:

Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 12
Enhanced Structure-Based Prediction of Chiral Stationary Phases for Chromatographic Enantioseparation from 3D Molecular Conformations
Yuhui Hong, Christopher J. Welch, Patrick Piras, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 6, pp. 2351-2359
Closed Access | Times Cited: 6
Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction
Hao Li, Da Long, Yuan Li, et al.
Nature Computational Science (2025)
Closed Access
Enantioselective Protein Affinity Selection Mass Spectrometry (EAS-MS)
Xiaoyun Wang, Jianxian Sun, Shabbir Ahmad, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Toward Microfluidic Continuous-flow and Intelligent Downstream Processing of Biopharmaceuticals
Vikas Sharma, Amirreza Mottafegh, Jeong‐Un Joo, et al.
Lab on a Chip (2024) Vol. 24, Iss. 11, pp. 2861-2882
Open Access | Times Cited: 5
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: 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: 8
Molecular Dynamics Simulations of Amylose- and Cellulose-Based Selectors and Related Enantioseparations in Liquid Phase Chromatography
Roberto Dallocchio, Alessandro Dessì, Barbara Sechi, et al.
Molecules (2023) Vol. 28, Iss. 21, pp. 7419-7419
Open Access | Times Cited: 8
Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals
Armen G. Beck, Jonathan Fine, Pankaj Aggarwal, et al.
Journal of Chromatography A (2024) Vol. 1730, pp. 465109-465109
Closed Access | Times Cited: 2
Recent progress in the extraction of terpenoids from essential oils and separation of the enantiomers by GC-MS
Yixi Wang, Jinchun Huang, Xinyue Lin, et al.
Journal of Chromatography A (2024) Vol. 1730, pp. 465118-465118
Closed Access | Times Cited: 2
AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed 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
Employing graph attention networks to decode psycho-metabolic interactions in Schizophrenia
Hongyi Yang, Dian Zhu, Yanli Liu, et al.
Psychiatry Research (2024) Vol. 335, pp. 115841-115841
Closed Access
Quality Assurance and Quality Control (QA/QC) for High-Resolution Mass Spectrometry (HRMS) Non-target Screening Methods
Bastian Schulze, Sarit Kaserzon
˜The œhandbook of environmental chemistry (2024)
Closed Access
Decoupled peak property learning for efficient and interpretable ECD spectra prediction
Hao Li, Da Long, Li Yuan, et al.
Research Square (Research Square) (2024)
Open Access
人工智能赋能色谱技术研究
Jinglong Lin, Fanyang Mo
Chinese Science Bulletin (Chinese Version) (2024)
Closed Access
Machine learning for predicting separation factors of chiral diphosphine ligands in chiral extraction of amino acid and mandelic acid enantiomers
Yingzi Peng, Wei Zhou, Xiaoliang Cao, et al.
Separation and Purification Technology (2024) Vol. 355, pp. 129797-129797
Closed Access
Insights into predicting small molecule retention times in liquid chromatography using deep learning
Yuting Liu, Akiyasu C. Yoshizawa, Yiwei Ling, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Recursive Neural Network for Solving Chromatographic Gradient Elution Curve
Shoujiang Li, Shaoyan Wang
(2024)
Closed 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
Neuron signal attenuation activation mechanism for deep learning
Wentao Jiang, Heng Yuan, Wanjun Liu
Patterns (2024), pp. 101117-101117
Open Access
Infrared Spectra Prediction for Functional Group Region Utilizing a Machine Learning Approach with Structural Neighboring Mechanism
Chengchun Liu, Ruqiang Zou, Fanyang Mo
Analytical Chemistry (2024)
Closed Access
Generic and accurate prediction of retention times in liquid chromatography by post-projection calibration
Fei Liu, Yan Zhang, Xiu Qin Li, et al.
Research Square (Research Square) (2023)
Open Access
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence
Chengchun Liu, Yuntian Chen, Fanyang Mo
National Science Open (2023), pp. 20230037-20230037
Open Access
A New Method for Obtaining Chromatographic Calculation Elution Curve - Recurrent Neural Network
Shoujiang Li
(2023)
Closed Access
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