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:

Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
Hakimeh Khojasteh, Jamshid Pirgazi, Ali Ghanbari Sorkhi
PLoS ONE (2023) Vol. 18, Iss. 8, pp. e0288173-e0288173
Open Access | Times Cited: 16

Showing 16 citing articles:

Machine Learning Approaches in Metabolic Pathway Predictions and Drug-Target Interactions: Advancing Drug Discovery
Mohamed E. Hasan, Ramanjaneyulu Allam, Alaa A. Hemeida, et al.
(2025), pp. 471-496
Closed Access

BindingSiteDTI: Differential-scale binding site modelling for Drug-Target interaction prediction
Feng Pan, Chong Yin, Siqi Liu, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 2

Artificial Intelligence–Driven Computational Approaches in the Development of Anticancer Drugs
Pankaj Garg, G. D. Singhal, Prakash Kulkarni, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3884-3884
Open Access | Times Cited: 2

Fair molecular feature selection unveils universally tumor lineage-informative methylation sites in colorectal cancer
Xuan Cindy Li, Yuelin Liu, Alejandro A. Schäffer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 246, pp. 105065-105065
Closed Access

Towards explainable interaction prediction: Embedding biological hierarchies into hyperbolic interaction space
Domonkos Pogány, Péter Antal
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0300906-e0300906
Open Access

Drug Discovery with Machine Learning: Target Identification using Random Forest
Pragati Choudhari, Ruchira Rawat, Ramy Riad Al–Fatlawy, et al.
(2024), pp. 1389-1393
Closed Access

Computational Prediction for Precision Drug Discovery Against LRRK2 and GBA in Parkinson’s Disease
M. Brinda, R. Medha Raj Reddy, Sharavari Girish Durwas, et al.
Learning and analytics in intelligent systems (2024), pp. 220-230
Closed Access

A comprehensive survey of drug-target interaction analysis in allopathy and siddha medicine
Uma E, T. Mala, A. Geetha, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102986-102986
Closed Access

Firefly Algorithm Under-Sampling (FAUS) in Handling Imbalance Data on Drug Target Interaction Prediction
Diya Namira Purba, Ghina Khoerunnisa, Isman Kurniawan
(2024), pp. 73-78
Closed Access

Drug-target prediction through self supervised learning with dual task ensemble approach
Surabhi Mishra, Ashish Chinthala, Mahua Bhattacharya
Computational Biology and Chemistry (2024) Vol. 113, pp. 108244-108244
Closed Access

Ant Colony-Based Sequential Hybrid Sampling Method for Handling the Imbalanced Data Problem in Drug-Target Interaction Prediction
Rizky Nurhaliza Harahap, Rahmat Hendrawan, Isman Kurniawan
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2024), pp. 1-7
Closed Access

Drug-Protein Interactions Prediction Models Using Feature Selection and Classification Techniques
T. Idhaya, A. Suruliandi, S. P. Raja
Current Drug Metabolism (2023) Vol. 24, Iss. 12, pp. 817-834
Closed Access

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