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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:

ATC-NLSP: Prediction of the Classes of Anatomical Therapeutic Chemicals Using a Network-Based Label Space Partition Method
Xiangeng Wang, Yanjing Wang, Zhenyu Xu, et al.
Frontiers in Pharmacology (2019) Vol. 10
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

SuperPred 3.0: drug classification and target prediction—a machine learning approach
Kathleen A. Gallo, Andrean Goede, Robert Preißner, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. W1, pp. W726-W731
Open Access | Times Cited: 142
MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism
Shenggeng Lin, Yanjing Wang, Lingfeng Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 118
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
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 | Times Cited: 1
iATC-FRAKEL: a simple multi-label web server for recognizing anatomical therapeutic chemical classes of drugs with their fingerprints only
Jianpeng Zhou, Lei Chen, Tianyun Wang, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3568-3569
Open Access | Times Cited: 69
Prediction of CYP450 Enzyme–Substrate Selectivity Based on the Network-Based Label Space Division Method
Xiaoqi Shan, Xiangeng Wang, Cheng-Dong Li, et al.
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 11, pp. 4577-4586
Closed Access | Times Cited: 60
Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology
Zhibin Lv, Donghua Wang, Hui Ding, et al.
IEEE Access (2020) Vol. 8, pp. 14851-14859
Open Access | Times Cited: 53
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
Identification of protein functions in mouse with a label space partition method
Xuan Li, Lin Lü, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 4, pp. 3820-3842
Open Access | Times Cited: 29
PMiSLocMF: predicting miRNA subcellular localizations by incorporating multi-source features of miRNAs
Lei Chen, Jiahui Gu, Bo Zhou
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 5
Drug repositioning by prediction of drug’s anatomical therapeutic chemical code via network-based inference approaches
Yayuan Peng, Manjiong Wang, Yixiang Xu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 2058-2072
Closed Access | Times Cited: 39
T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm
Tianhang Chen, Xiangeng Wang, Yanyi Chu, et al.
Frontiers in Microbiology (2020) Vol. 11
Open Access | Times Cited: 33
Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm
Xiaoqing Ru, Lida Wang, Lihong Li, et al.
Computers in Biology and Medicine (2020) Vol. 119, pp. 103660-103660
Closed Access | Times Cited: 31
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: 24
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: 10
GraphATC: advancing multilevel and multi-label anatomical therapeutic chemical classification via atom-level graph learning
Wengyu Zhang, Qi Tian, Yi Cao, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
RNPredATC: a deep residual learning-based model with applications to the prediction of drug-ATC code association
Haochen Zhao, Guihua Duan, Peng Ni, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 2712-2723
Closed Access | Times Cited: 7
STS-NLSP: A Network-Based Label Space Partition Method for Predicting the Specificity of Membrane Transporter Substrates Using a Hybrid Feature of Structural and Semantic Similarity
Xiangeng Wang, Xiaolei Zhu, Mingzhi Ye, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 19
Cross-view contrastive representation learning approach to predicting DTIs via integrating multi-source information
Chengxin He, Yuening Qu, Jin Yin, et al.
Methods (2023) Vol. 218, pp. 176-188
Closed Access | Times Cited: 6
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
Deep fusion learning facilitates anatomical therapeutic chemical recognition in drug repurposing and discovery
Xiting Wang, Meng Liu, Shujun Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 12
Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules’ Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE
Pranab Das, Dilwar Hussain Mazumder
(2021), pp. 1-7
Closed Access | Times Cited: 12
Neural networks for anatomical therapeutic chemical (ATC) classification
Loris Nanni, Alessandra Lumini, Sheryl Brahnam
Applied Computing and Informatics (2022)
Open Access | Times Cited: 9
DACPGTN: Drug ATC Code Prediction Method Based on Graph Transformer Network for Drug Discovery
Chaokun Yan, Zhihao Suo, Jianlin Wang, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 9
Recognizing novel chemicals/drugs for anatomical therapeutic chemical classes with a heat diffusion algorithm
Haiyan Liang, Bin Hu, Lei Chen, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2020) Vol. 1866, Iss. 11, pp. 165910-165910
Open Access | Times Cited: 12
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