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:

QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking
Hao Ding, Fei Xing, Lin Zou, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 10

Showing 10 citing articles:

Enhanced in silico QSAR-based screening of butyrylcholinesterase inhibitors using multi-feature selection and machine learning
D. Sharmistha, M Prabha, Ravi Kiran, et al.
SAR and QSAR in environmental research (2025), pp. 1-21
Closed Access

QSAR Modeling for Predicting Beta-Secretase 1 Inhibitory Activity in Alzheimer's Disease with Support Vector Regression
Teuku Rizky Noviandy, Ghifari Maulana Idroes, Trina Ekawati Tallei, et al.
Malacca Pharmaceutics (2024) Vol. 2, Iss. 2, pp. 79-85
Closed Access | Times Cited: 4

Redefining the significance of quinoline containing compounds as potent VEGFR-2 inhibitors for cancer therapy
Jurnal Reang, Vinita Sharma, Vivek Yadav, et al.
Medicinal Chemistry Research (2024) Vol. 33, Iss. 7, pp. 1079-1099
Closed Access | Times Cited: 2

An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates
Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 81-81
Open Access | Times Cited: 2

From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors
Mehmet Ali Yucel, Ercan Adal, Mine Buga Aktekin, et al.
ChemMedChem (2024) Vol. 19, Iss. 16
Open Access | Times Cited: 1

Computer‐Aided Design of VEGFR‐2 Inhibitors as Anticancer Agents: A Review
Abdullahi İbrahim Uba
Journal of Molecular Recognition (2024)
Closed Access

Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-κB receptors based on machine learning and molecular docking
Parham Rezaee, Shahab Rezaee, M. Mâaza, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109279-109279
Closed Access

Optimizing Hepatitis C Virus Inhibitor Identification with LightGBM and Tree-structured Parzen Estimator Sampling
Teuku Rizky Noviandy, Ghifari Maulana Idroes, Aga Maulana, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18810-18817
Open Access

QSAR and Machine Learning Predictors
Philipe Oliveira Fernandes, Vinícius Gonçalves Maltarollo
(2024), pp. 131-161
Closed Access

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