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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:

Drug–target interaction prediction based on protein features, using wrapper feature selection
Hengame Abbasi Mesrabadi, Karim Faez, Jamshid Pirgazi
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13

Showing 13 citing articles:

Stimuli-Responsive Polymer-Based Nanosystems for Cancer Theranostics
Dengshuai Wei, Yong Sun, Hu Zhu, et al.
ACS Nano (2023) Vol. 17, Iss. 23, pp. 23223-23261
Closed Access | Times Cited: 108
Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery
Shruti Singh, Rajesh Kumar, Shuvasree Payra, et al.
Cureus (2023)
Open Access | Times Cited: 66
Comprehensive Analysis of Computational Methods for Predicting Anti-inflammatory Peptides
Ali Raza, Jamal Uddin, Shahid Akbar, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3211-3229
Closed Access | Times Cited: 12
New drug discovery and development from natural products: Advances and strategies
Yixin Wang, Fan Wang, Wenxiu Liu, et al.
Pharmacology & Therapeutics (2024) Vol. 264, pp. 108752-108752
Closed Access | Times Cited: 2
Unlocking biological complexity: the role of machine learning in integrative multi-omics
Ravindra Kumar, Rajrani Ruhel, André J. van Wijnen
Academia Biology (2024) Vol. 2, Iss. 4
Open Access | Times Cited: 1
Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning
Wenzhu Song, Feng Wu, Yan Yan, et al.
Frontiers in Cellular and Infection Microbiology (2023) Vol. 13
Open Access | Times Cited: 2
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
Artificial Intelligence: From Drug Discovery to Clinical Pharmacology
Paola Lecca
(2024), pp. 253-271
Closed Access
HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction
Mohammad Reza Keyvanpour, Yasaman Asghari, Soheila Mehrmolaei
Chemometrics and Intelligent Laboratory Systems (2024) Vol. 253, pp. 105224-105224
Closed Access
Genome Sequence Analysis and Drug-Target Interaction Prediction Using Deep Learning
Sara Chaudhari, Bharti Khemani, Shruti Patil, et al.
Lecture notes in networks and systems (2024), pp. 569-587
Closed Access
The role of deep learning in drug discovery
Ahmad Ahmad, Ahmed A. Mohamed
Elsevier eBooks (2024), pp. 309-326
Closed Access
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model
Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, et al.
Lecture notes in computer science (2023), pp. 676-686
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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