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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:

Computational Drug-target Interaction Prediction based on Graph Embedding and Graph Mining
Maha A. Thafar, Somayah Albaradie, Rawan S. Olayan, et al.
(2020) Vol. 7, pp. 14-21
Open Access | Times Cited: 10

Showing 10 citing articles:

Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 55
Application and evaluation of knowledge graph embeddings in biomedical data
Mona Alshahrani, Maha A. Thafar, Magbubah Essack
PeerJ Computer Science (2021) Vol. 7, pp. e341-e341
Open Access | Times Cited: 38
How natural language processing derived techniques are used on biological data: a systematic review
Emmanouil D. Oikonomou, Petros Karvelis, Νικόλαος Γιαννακέας, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Drug–target interaction prediction based on improved heterogeneous graph representation learning and feature projection classification
Donghua Yu, Huawen Liu, Shuang Yao
Expert Systems with Applications (2024) Vol. 252, pp. 124289-124289
Closed Access | Times Cited: 2
Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications
Mona Alshahrani, Abdullah Almansour, Asma Alkhaldi, et al.
PeerJ (2022) Vol. 10, pp. e13061-e13061
Open Access | Times Cited: 10
OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features
Maha A. Thafar, Somayah Albaradei, Mahmut Uludağ, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 5
FutureCite: Predicting Research Articles Impact using Machine Learning and Text and Graph Mining Techniques
Maha A. Thafar, Mashael M. Alsulami, Somayah Albarade
(2024)
Open Access | Times Cited: 1
Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization
Wang Ai-zhen, Minhui Wang
BioMed Research International (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 7
FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques
Maha A. Thafar, Mashael M. Alsulami, Somayah Albaradei
Mathematical and Computational Applications (2024) Vol. 29, Iss. 4, pp. 59-59
Open Access
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