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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:

HimGNN: a novel hierarchical molecular graph representation learning framework for property prediction
Han Shen, Haitao Fu, Yuyang Wu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 22

Showing 22 citing articles:

Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints
Jifeng Wang, Li Zhang, Jianqiang Sun, et al.
Methods (2023) Vol. 221, pp. 18-26
Open Access | Times Cited: 35
Enhancing property and activity prediction and interpretation using multiple molecular graph representations with MMGX
Apakorn Kengkanna, Masahito Ohue
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 5
Learning motif-based graphs for drug–drug interaction prediction via local–global self-attention
Yi Zhong, Gaozheng Li, Yang Ji, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 9, pp. 1094-1105
Closed Access | Times Cited: 4
Motif-driven molecular graph representation learning
Runze Wang, Yuting Ma, Xingyue Liu, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126484-126484
Closed Access
AdaMGT: Molecular representation learning via adaptive mixture of GCN-Transformer
Cangfeng Ding, Zhaoyao Yan, Lerong Ma, et al.
Knowledge-Based Systems (2025), pp. 113131-113131
Closed Access
MDFCL: Multimodal data fusion-based graph contrastive learning framework for molecular property prediction
Xu Gong, Maotao Liu, Qun Liu, et al.
Pattern Recognition (2025), pp. 111463-111463
Closed Access
Graph and Multi-Level Sequence Fusion Learning for Predicting the Molecular Activity of BACE-1 Inhibitors
Shaohua Zheng, Changwang Zhang, Youjia Chen, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 4, pp. 1681-1681
Open Access
Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction
Shuo Liu, Mengyun Chen, Xiaojun Yao, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101242-101242
Open Access
Molecular property prediction based on graph contrastive learning with partial feature masking
Kunjie Dong, Xiaohui Lin, Yanhui Zhang
Journal of Molecular Graphics and Modelling (2025), pp. 109014-109014
Closed Access
Graph-Aware AURALSTM: An Attentive Unified Representation Architecture with BiLSTM for Enhanced Molecular Property Prediction
Muhammed Ali Pala
Molecular Diversity (2025)
Open Access
LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction
Lei Song, Huimin Zhu, Kaili Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3105-3113
Closed Access | Times Cited: 1
Geometry-Augmented Molecular Representation Learning for Property Prediction
Yanan Zhang, Xiangzhi Bai
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1518-1528
Closed Access | Times Cited: 1
MvMRL: a multi-view molecular representation learning method for molecular property prediction
Ru Zhang, Yanmei Lin, Yijia Wu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 1
MOL-MOE: Learning Drug Molecular Characterization Based on Mixture of Expert Mechanism
Xiang Zhang, Chenliang Qian, Jie Xia, et al.
Lecture notes in computer science (2024), pp. 233-244
Closed Access
Attribute-guided prototype network for few-shot molecular property prediction
Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access
Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey
Taojie Kuang, Pengfei Liu, Zhixiang Ren
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 858-888
Open Access
M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction
Ran Zhang, Xuezhi Wang, Kunpeng Liu, et al.
Lecture notes in computer science (2024), pp. 264-274
Closed Access
Insight mixed deep neural network architectures for molecular representation
Tianze Zhao, Zhenyu Yin, Yong Lu, et al.
Alexandria Engineering Journal (2024) Vol. 109, pp. 299-306
Open Access
Adapting differential molecular representation with hierarchical prompts for multi-label property prediction
Linjia Kang, Songhua Zhou, Shuyan Fang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access
ChemXTree: A Feature-Enhanced Graph Neural Network-Neural Decision Tree Framework for ADMET Prediction
Yuzhi Xu, Xinxin Liu, Wei Xia, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 22, pp. 8440-8452
Open Access
MultiGranDTI: an explainable multi-granularity representation framework for drug-target interaction prediction
Xu Gong, Qun Liu, Jing He, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
ChemXTree:A Tree-enhanced Classification Approach to Small-molecule Drug Discovery
Yuzhi Xu, Xinxin Liu, Jiankai Ge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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