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:
iATC_Deep-mISF: A Multi-Label Classifier for Predicting the Classes of Anatomical Therapeutic Chemicals by Deep Learning
Zhe Lü, Kuo‐Chen Chou
Advances in Bioscience and Biotechnology (2020) Vol. 11, Iss. 05, pp. 153-159
Open Access | Times Cited: 15
Zhe Lü, Kuo‐Chen Chou
Advances in Bioscience and Biotechnology (2020) Vol. 11, Iss. 05, pp. 153-159
Open Access | Times Cited: 15
Showing 15 citing articles:
iATC-NFMLP: Identifying Classes of Anatomical Therapeutic Chemicals Based on Drug Networks, Fingerprints, and Multilayer Perceptron
Shunrong Tang, Lei Chen
Current Bioinformatics (2022) Vol. 17, Iss. 9, pp. 814-824
Closed Access | Times Cited: 41
Shunrong Tang, Lei Chen
Current Bioinformatics (2022) Vol. 17, Iss. 9, pp. 814-824
Closed Access | Times Cited: 41
A model with deep analysis on a large drug network for drug classification
Chenhao Wu, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 383-401
Open Access | Times Cited: 31
Chenhao Wu, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 383-401
Open Access | Times Cited: 31
Prediction of drug’s anatomical therapeutic chemical (ATC) code by constructing biological profiles of ATC codes
Lei Chen, Yiwen Lu, Jing Xu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Lei Chen, Yiwen Lu, Jing Xu, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
PDATC-NCPMKL: Predicting drug's Anatomical Therapeutic Chemical (ATC) codes based on network consistency projection and multiple kernel learning
Lei Chen, Jing Xu, Zhou Yubin
Computers in Biology and Medicine (2023) Vol. 169, pp. 107862-107862
Closed Access | Times Cited: 9
Lei Chen, Jing Xu, Zhou Yubin
Computers in Biology and Medicine (2023) Vol. 169, pp. 107862-107862
Closed Access | Times Cited: 9
A convolutional neural network and graph convolutional network-based method for predicting the classification of anatomical therapeutic chemicals
Haochen Zhao, Yaohang Li, Jianxin Wang
Bioinformatics (2021) Vol. 37, Iss. 18, pp. 2841-2847
Closed Access | Times Cited: 23
Haochen Zhao, Yaohang Li, Jianxin Wang
Bioinformatics (2021) Vol. 37, Iss. 18, pp. 2841-2847
Closed Access | Times Cited: 23
A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs
Pranab Das, Dilwar Hussain Mazumder
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-31
Open Access | Times Cited: 2
Pranab Das, Dilwar Hussain Mazumder
ACM Computing Surveys (2024) Vol. 57, Iss. 3, pp. 1-31
Open Access | Times Cited: 2
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15
Neural networks for anatomical therapeutic chemical (ATC) classification
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Applied Computing and Informatics (2022)
Open Access | Times Cited: 8
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Applied Computing and Informatics (2022)
Open Access | Times Cited: 8
Identifying the kind behind SMILES—anatomical therapeutic chemical classification using structure-only representations
Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 7
Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 7
pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 400-428
Open Access | Times Cited: 10
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 400-428
Open Access | Times Cited: 10
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
International Journal of Genomics Proteomics Metabolomics & Bioinformatics (2020), pp. 43-50
Open Access | Times Cited: 3
Kuo‐Chen Chou
International Journal of Genomics Proteomics Metabolomics & Bioinformatics (2020), pp. 43-50
Open Access | Times Cited: 3
Neural networks for Anatomical Therapeutic Chemical (ATC).
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 1
iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features
Arqam Amin, Muhammad Awais, Shalini Sahai, et al.
International Journal of Peptide Research and Therapeutics (2021) Vol. 27, Iss. 2, pp. 1315-1329
Open Access | Times Cited: 1
Arqam Amin, Muhammad Awais, Shalini Sahai, et al.
International Journal of Peptide Research and Therapeutics (2021) Vol. 27, Iss. 2, pp. 1315-1329
Open Access | Times Cited: 1
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
Biotechnology and Bioprocessing (2020) Vol. 1, Iss. 3, pp. 01-11
Open Access
Kuo‐Chen Chou
Biotechnology and Bioprocessing (2020) Vol. 1, Iss. 3, pp. 01-11
Open Access
The Significant and Profound Impacts of Gordon Life Science Institute
Kuo‐Chen Chou
Voice of the Publisher (2021) Vol. 07, Iss. 01, pp. 6-31
Open Access
Kuo‐Chen Chou
Voice of the Publisher (2021) Vol. 07, Iss. 01, pp. 6-31
Open Access
