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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:

Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11218-11230
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Current strategies to address data scarcity in artificial intelligence-based drug discovery: A comprehensive review
Amit Gangwal, Azim Ansari, Iqrar Ahmad, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108734-108734
Closed Access | Times Cited: 24
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 35796-35812
Open Access | Times Cited: 23
MUMA: A Multi-Omics Meta-Learning Algorithm for Data Interpretation and Classification
Haihui Huang, Jun Shu, Yong Liang
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2428-2436
Closed Access | Times Cited: 20
Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Deep learning for low-data drug discovery: Hurdles and opportunities
Derek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102818-102818
Open Access | Times Cited: 12
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4849-4863
Closed Access | Times Cited: 9
Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms
Wakeel Ahmed, Shahid Zaman, Eizzah Asif, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 9
3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario
Qiujie Lv, Jun Zhou, Ziduo Yang, et al.
Neural Networks (2023) Vol. 165, pp. 94-105
Closed Access | Times Cited: 20
Survival prediction of heart failure patients using motion-based analysis method
Saidi Guo, Heye Zhang, Yifeng Gao, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107547-107547
Closed Access | Times Cited: 19
TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining
Qiujie Lv, Guanxing Chen, Haohuai He, et al.
Chemical Science (2023) Vol. 14, Iss. 39, pp. 10684-10701
Open Access | Times Cited: 18
GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network
Runtao Yang, Yao Fu, Qian Zhang, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102805-102805
Closed Access | Times Cited: 7
Enhancing Generic Reaction Yield Prediction through Reaction Condition-Based Contrastive Learning
Xiaodan Yin, Chang‐Yu Hsieh, Xiaorui Wang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 4
Deep learning for low-data drug discovery: hurdles and opportunities
Derek van Tilborg, Helena Brinkmann, Emanuele Criscuolo, et al.
(2024)
Open Access | Times Cited: 4
Emerging opportunities of using large language models for translation between drug molecules and indications
David Oniani, Jordan Hilsman, Chengxi Zang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Ligand-Based Compound Activity Prediction via Few-Shot Learning
Peter Eckmann, Jake Anderson, Rose Yu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5492-5499
Open Access | Times Cited: 4
FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
Lianwei Zhang, Dongjiang Niu, Beiyi Zhang, et al.
Applied Intelligence (2024)
Closed Access | Times Cited: 4
Meta Learner-Based Optimization for Antenna Efficiency Prediction and High-Performance Thz Mimo Antenna Applications
Md Ashraful Haque, Md. Kawsar Ahmed, Kamal Hossain Nahin, et al.
(2025)
Closed Access
Meta-Learning Enables Complex Cluster-Specific Few-Shot Binding Affinity Prediction for Protein–Protein Interactions
Yang Yue, Yihua Cheng, Céline Marquet, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
A spatial-temporal graph attention network for protein–ligand binding affinity prediction based on molecular geometry
Gai‐Li Li, Yongna Yuan, Ruisheng Zhang
Multimedia Systems (2025) Vol. 31, Iss. 1
Open Access
A Survey on Exploring Real and Virtual Social Network Rumors: State-of-the-Art and Research Challenges
Qiang He, S.-Y. Zhang, Yuliang Cai, et al.
ACM Computing Surveys (2025)
Closed Access
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
Inverse design of non-parametric acoustic metamaterials via transfer-learned dual variational autoencoder with latent space-based data augmentation
Keon Ko, Min Woo Cho, Kyungjun Song, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110735-110735
Closed Access
Connecting the dots: Computational network analysis for disease insight and drug repurposing
Nicoleta Siminea, Eugen Czeizler, Victor Popescu, et al.
Current Opinion in Structural Biology (2024) Vol. 88, pp. 102881-102881
Open Access | Times Cited: 3
Modal-nexus auto-encoder for multi-modality cellular data integration and imputation
Zhenchao Tang, Guanxing Chen, Shouzhi Chen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
Zhenchao Tang, Jiehui Huang, Guanxing Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 14, pp. 15292-15300
Open Access | Times Cited: 2
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