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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:

Unlocking the therapeutic potential of drug combinations through synergy prediction using graph transformer networks
Waleed Alam, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 170, pp. 108007-108007
Closed Access | Times Cited: 9

Showing 9 citing articles:

Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework
Saima Gaffar, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 174, pp. 108438-108438
Closed Access | Times Cited: 6
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 3
NaII-Pred: An ensemble-learning framework for the identification and interpretation of sodium ion inhibitors by fusing multiple feature representation
Mir Tanveerul Hassan, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108737-108737
Closed Access | Times Cited: 2
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks
G S Pradeep Ghantasala, Dilip Kumar, Pellakuri Vidyullatha, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions
Boyang Wang, Tingyu Zhang, Qingyuan Liu, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 3, pp. 101144-101144
Open Access | Times Cited: 1
DualSyn: A dual-level feature interaction method to predict synergistic drug combinations
Zehui Chen, Zimeng Li, Xiangzhen Shen, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125065-125065
Closed Access
GGAS2SN: Gated Graph and SmilesToSeq Network for Solubility Prediction
Waqar Ahmad, Kil To Chong, Hilal Tayara
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 20, pp. 7833-7843
Closed Access
DSA-DeepFM: A Dual-Stage Attention-Enhanced DeepFM Model for Predicting Anticancer Synergistic Drug Combinations
Yuexi Gu, Yanhui Sun, Louxin Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An accurate prediction of drug-drug interactions and side effects by using integrated convolutional and BiLSTM networks
Sabir Ali, Waleed Alam, Hilal Tyara, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105304-105304
Closed Access
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