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:
Transfer learning empowers accurate pharmacokinetics prediction of small samples
Wenbo Guo, Yawen Dong, Ge‐Fei Hao
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103946-103946
Closed Access | Times Cited: 5
Wenbo Guo, Yawen Dong, Ge‐Fei Hao
Drug Discovery Today (2024) Vol. 29, Iss. 4, pp. 103946-103946
Closed Access | Times Cited: 5
Showing 5 citing articles:
Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1
Personalized Health Prediction AI Models Using Transfer Learning and Strategic Overfitting on Wearable Device Data
Inyong Jeong, Shuang Kong, Y.H. Kim, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
Inyong Jeong, Shuang Kong, Y.H. Kim, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
Artificial intelligence to predict inhibitors of drug-metabolizing enzymes and transporters for safer drug design
Arnab Bhattacharjee, Ankur Kumar, Probir Kumar Ojha, et al.
Expert Opinion on Drug Discovery (2025), pp. 1-21
Closed Access
Arnab Bhattacharjee, Ankur Kumar, Probir Kumar Ojha, et al.
Expert Opinion on Drug Discovery (2025), pp. 1-21
Closed Access
Rapid Screening of Chemicals with Placental Transfer Risk Using Interpretable Machine Learning
Xiaojia Chen, Jingzhi Yao, Yu Ma, et al.
Environmental Science & Technology Letters (2024) Vol. 11, Iss. 8, pp. 798-804
Closed Access | Times Cited: 3
Xiaojia Chen, Jingzhi Yao, Yu Ma, et al.
Environmental Science & Technology Letters (2024) Vol. 11, Iss. 8, pp. 798-804
Closed Access | Times Cited: 3
Research on sound quality of roller chain transmission system based on multi-source transfer learning
Jiabao Li, Lichi An, Yabing Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Jiabao Li, Lichi An, Yabing Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
