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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:

A multimodal deep learning-based drug repurposing approach for treatment of COVID-19
Seyed Aghil Hooshmand, Mohadeseh Zarei Ghobadi, Seyyed Emad Hooshmand, et al.
Molecular Diversity (2020) Vol. 25, Iss. 3, pp. 1717-1730
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
Multimodal deep learning for biomedical data fusion: a review
Sören Richard Stahlschmidt, Benjamin Ulfenborg, Jane Synnergren
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 313
Drug repurposing for COVID-19: Approaches, challenges and promising candidates
Yan Ling Ng, Cyrill Kafi Salim, Justin Jang Hann Chu
Pharmacology & Therapeutics (2021) Vol. 228, pp. 107930-107930
Open Access | Times Cited: 132
An overview of deep learning methods for multimodal medical data mining
Fatemeh Behrad, Mohammad Saniee Abadeh
Expert Systems with Applications (2022) Vol. 200, pp. 117006-117006
Closed Access | Times Cited: 95
Machine Learning Applications in Drug Repurposing
Fan Yang, Qi Zhang, Xiaokang Ji, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 1, pp. 15-21
Open Access | Times Cited: 71
TripletMultiDTI: Multimodal representation learning in drug-target interaction prediction with triplet loss function
Alireza Dehghan, Parvin Razzaghi, Karim Abbasi, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120754-120754
Closed Access | Times Cited: 52
Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
Manish Tripathi, Abhigyan Nath, T.P. Singh, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1439-1460
Open Access | Times Cited: 95
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105141-105141
Open Access | Times Cited: 76
A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Faheem Ahmed, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, et al.
Biomedicine & Pharmacotherapy (2022) Vol. 153, pp. 113350-113350
Open Access | Times Cited: 61
Predicting miRNA–disease associations via learning multimodal networks and fusing mixed neighborhood information
Zhengzheng Lou, Zhaoxu Cheng, Hui Li, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 59
Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 37
The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance
Kampanart Huanbutta, Kanokporn Burapapadh, Pakorn Kraisit, et al.
European Journal of Pharmaceutical Sciences (2024) Vol. 203, pp. 106938-106938
Open Access | Times Cited: 11
Artificial intelligence accelerates multi-modal biomedical process: A Survey
Jiajia Li, Xue Han, Yiming Qin, et al.
Neurocomputing (2023) Vol. 558, pp. 126720-126720
Closed Access | Times Cited: 19
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 18
Histidine‐enhanced gene delivery systems: The state of the art
Seyyed Emad Hooshmand, Makkieh Jahanpeimay Sabet, Akbar Hasanzadeh, et al.
The Journal of Gene Medicine (2022) Vol. 24, Iss. 5
Closed Access | Times Cited: 22
DrugRep-KG: Toward Learning a Unified Latent Space for Drug Repurposing Using Knowledge Graphs
Zahra Ghorbanali, Fatemeh Zare‐Mirakabad, Mohammad Akbari, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 8, pp. 2532-2545
Open Access | Times Cited: 13
Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives
Amit Gangwal, Antonio Lavecchia
Journal of Medicinal Chemistry (2025)
Open Access
Drug repositioning in non-small cell lung cancer (NSCLC) using gene co-expression and drug–gene interaction networks analysis
Habib MotieGhader, Parinaz Tabrizi-Nezhadi, Mahshid Deldar Abad Paskeh, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 20
A clustering and graph deep learning-based framework for COVID-19 drug repurposing
Chaarvi Bansal, Perinkulam Ravi Deepa, Vinti Agarwal, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123560-123560
Open Access | Times Cited: 4
A systematic review of artificial intelligence-based COVID-19 modeling on multimodal genetic information
Karthik Sekaran, R. Gnanasambandan, Ramkumar Thirunavukarasu, et al.
Progress in Biophysics and Molecular Biology (2023) Vol. 179, pp. 1-9
Open Access | Times Cited: 10
Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions
Mohammad Ennab, Hamid Mcheick
Frontiers in Robotics and AI (2024) Vol. 11
Open Access | Times Cited: 3
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids
Carson Lam, Anna Siefkas, Nicole S. Zelin, et al.
Clinical Therapeutics (2021) Vol. 43, Iss. 5, pp. 871-885
Open Access | Times Cited: 22
In silico design of novel aptamers utilizing a hybrid method of machine learning and genetic algorithm
Mahsa Torkamanian-Afshar, Sajjad Nematzadeh, Maryam Tabarzad, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1395-1407
Closed Access | Times Cited: 21
Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data
Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, et al.
Neurocomputing (2021) Vol. 457, pp. 40-66
Open Access | Times Cited: 21
The Quest for System-Theoretical Medicine in the COVID-19 Era
Felix Tretter, Olaf Wolkenhauer, Michael Meyer‐Hermann, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 19
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