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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:

QSPR approaches to elucidate the stability constants between β-cyclodextrin and some organic compounds: Docking based 3D conformer
F. Mirrahimi, Maryam Salahinejad, Jahan B. Ghasemi
Journal of Molecular Liquids (2016) Vol. 219, pp. 1036-1043
Closed Access | Times Cited: 10

Showing 10 citing articles:

A Review of Machine Learning and QSAR/QSPR Predictions for Complexes of Organic Molecules with Cyclodextrins
Dariusz Boczar, Katarzyna Michalska
Molecules (2024) Vol. 29, Iss. 13, pp. 3159-3159
Open Access | Times Cited: 4
Phenolic Acid–β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR Study
Kweeni Iduoku, Marvellous Ngongang, Jayani Kulathunga, et al.
Foods (2024) Vol. 13, Iss. 13, pp. 2147-2147
Open Access | Times Cited: 3
Phenolic Acid – β-cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine-Learning-based QSAR Study
Kweeni Iduoku, Marvellous Ngongang, Jayani Kulathunga, et al.
(2024)
Open Access | Times Cited: 2
Free-energy patterns in inclusion complexes: the relevance of non-included moieties in the stability constants
Tânia Cova, Sandra C. C. Nunes, Alberto A. C. C. Pais
Physical Chemistry Chemical Physics (2017) Vol. 19, Iss. 7, pp. 5209-5221
Closed Access | Times Cited: 23
QSPR models for complexation performance of α-cyclodextrin and β-cyclodextrin complexes by norm indices
H. Niu, Jianzheng Wang, Qingzhu Jia, et al.
Chemical Engineering Science (2023) Vol. 284, pp. 119484-119484
Closed Access | Times Cited: 5
3D-QSAR for binding constants of β-cyclodextrin host-guest complexes by utilising spectrophores as molecular descriptors
Steffen Jeschke, Ivan Cole
Chemosphere (2019) Vol. 225, pp. 135-138
Closed Access | Times Cited: 15
Using QSARs for predictions in drug delivery
Edgardo Rivera‐Delgado, Alison W. Xin, Horst A. von Recum
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 10
Predicting Value of Binding Constants of Organic Ligands to Beta-Cyclodextrin: Application of MARSplines and Descriptors Encoded in SMILES String
Piotr Cysewski, Maciej Przybyłek
Symmetry (2019) Vol. 11, Iss. 7, pp. 922-922
Open Access | Times Cited: 7
Development of QSRR model for hydroxamic acids using PCA-GA-BP algorithm incorporated with molecular interaction-based features
Yiming Nie, Jia Li, Xinying Yang, et al.
Frontiers in Chemistry (2022) Vol. 10
Open Access | Times Cited: 3
Using QSAR to predict polymer-drug interactions for drug delivery
Alison W. Xin, Edgardo Rivera‐Delgado, Horst A. von Recum
Frontiers in Soft Matter (2024) Vol. 4
Open Access
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