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:
Adera2.0: A Drug Repurposing Workflow for Neuroimmunological Investigations Using Neural Networks
Marzena Łazarczyk, Kamila Duda, Michel‐Edwar Mickael, et al.
Molecules (2022) Vol. 27, Iss. 19, pp. 6453-6453
Open Access | Times Cited: 8
Marzena Łazarczyk, Kamila Duda, Michel‐Edwar Mickael, et al.
Molecules (2022) Vol. 27, Iss. 19, pp. 6453-6453
Open Access | Times Cited: 8
Showing 8 citing articles:
Comprehensive applications of the artificial intelligence technology in new drug research and development
Hongyu Chen, Dong Xin Lu, Ziyi Xiao, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Hongyu Chen, Dong Xin Lu, Ziyi Xiao, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Multiple machine learning methods aided virtual screening of NaV1 .5 inhibitors
Weikaixin Kong, Weiran Huang, Chao Peng, et al.
Journal of Cellular and Molecular Medicine (2022) Vol. 27, Iss. 2, pp. 266-276
Open Access | Times Cited: 8
Weikaixin Kong, Weiran Huang, Chao Peng, et al.
Journal of Cellular and Molecular Medicine (2022) Vol. 27, Iss. 2, pp. 266-276
Open Access | Times Cited: 8
Deep learning methods for drug repurposing through heterogeneous data
Thomas Papikinos, Marios G. Krokidis, Aris Vrahatis, et al.
Elsevier eBooks (2024), pp. 295-313
Closed Access
Thomas Papikinos, Marios G. Krokidis, Aris Vrahatis, et al.
Elsevier eBooks (2024), pp. 295-313
Closed Access
Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision
Michel‐Edwar Mickael, Norwin Kubick, Atanas G. Atanasov, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 8, pp. 8301-8319
Open Access
Michel‐Edwar Mickael, Norwin Kubick, Atanas G. Atanasov, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 8, pp. 8301-8319
Open Access
Navigating the Intersection of Technology and Depression Precision Medicine
M Burcu Irmak-Yazicioglu, Ayla Arslan
Advances in experimental medicine and biology (2024), pp. 401-426
Closed Access
M Burcu Irmak-Yazicioglu, Ayla Arslan
Advances in experimental medicine and biology (2024), pp. 401-426
Closed Access
A Convolution-Based AI Neural Network Achieves 90% Accuracy in Predicting Cancer Type Based on Copy Number Alterations
Michel‐Edwar Mickael
(2023)
Open Access | Times Cited: 1
Michel‐Edwar Mickael
(2023)
Open Access | Times Cited: 1
Genomics-based tools for drug discovery and development: From network maps to efficacy prediction
J. Fang, Chen Qi, Guoyu Wu
Journal of Holistic Integrative Pharmacy (2023) Vol. 4, Iss. 3, pp. 199-209
Open Access | Times Cited: 1
J. Fang, Chen Qi, Guoyu Wu
Journal of Holistic Integrative Pharmacy (2023) Vol. 4, Iss. 3, pp. 199-209
Open Access | Times Cited: 1
