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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:

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs
Wei Ju, Zequn Liu, Yifang Qin, et al.
Neural Networks (2023) Vol. 163, pp. 122-131
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 131
A Diffusion Model for POI Recommendation
Yifang Qin, Hongjun Wu, Wei Ju, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-27
Open Access | Times Cited: 24
MIFS: An adaptive multipath information fused self-supervised framework for drug discovery
Xu Gong, Qun Liu, Rui Han, et al.
Neural Networks (2025) Vol. 184, pp. 107088-107088
Closed Access | Times Cited: 1
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
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
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Siyu Yi, Wei Ju, Yifang Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18313-18327
Open Access | Times Cited: 19
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
Ju Wei, Yiyang Gu, Zhengyang Mao, et al.
Science China Information Sciences (2024) Vol. 68, Iss. 1
Closed Access | Times Cited: 5
Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection
Wangyu Jin, Huifang Ma, Yingyue Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124460-124460
Closed Access | Times Cited: 4
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering
Tao Ren, H. F. Zhang, Yifan Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104084-104084
Closed Access
Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training
Kohei Noda, Araki Wakiuchi, Yoshihiro Hayashi, et al.
Communications Materials (2025) Vol. 6, Iss. 1
Open Access
MCCI: A multi-channel collaborative interaction framework for multimodal knowledge graph completion
Xiquan Zhang, Jianwu Dang, Yangping Wang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104156-104156
Closed Access
Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery
Luis H.M. Torres, Joel P. Arrais, Bernardete Ribeiro
Pattern Recognition (2025), pp. 111657-111657
Closed Access
Boosting Graph Convolution with Disparity-induced Structural Refinement
Sujia Huang, Yueyang Pi, Tong Zhang, et al.
(2025), pp. 2209-2221
Closed Access
Interpretable drug-target affinity prediction based on pre-trained models’ output as embeddings and based on structure-aware cross-attention for feature fusion
Fang Zheng, Juanjuan Zhao, Zihang Yuan, et al.
Molecular Diversity (2025)
Closed Access
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Zhengyang Mao, Wei Ju, Yifang Qin, et al.
(2023), pp. 3817-3826
Open Access | Times Cited: 9
Multi-Scale Protein Language Model for Unified Molecular Modeling
Kangjie Zheng, Siyu Long, Tianyu Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Meta-learning framework with updating information flow for enhancing inductive prediction
Xiquan Zhang, Jianwu Dang, Yangping Wang, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111720-111720
Closed Access | Times Cited: 3
Supervised contrastive learning for graph representation enhancement
Mohadeseh Ghayekhloo, Ahmad Nickabadi
Neurocomputing (2024) Vol. 588, pp. 127710-127710
Closed Access | Times Cited: 3
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: 3
A bioactivity foundation model using pairwise meta-learning
Bin Feng, Zequn Liu, Nan-Lan Huang, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 8, pp. 962-974
Open Access | Times Cited: 2
Exploring new horizons: Empowering computer-assisted drug design with few-shot learning
Sabrina Silva Mendonça, Arthur Ricardo Sousa Vitória, Telma Woerle de Lima, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 4, pp. 100086-100086
Open Access | Times Cited: 6
Improving few-shot relation extraction through semantics-guided learning
Hui Wu, Yuting He, Yidong Chen, et al.
Neural Networks (2023) Vol. 169, pp. 453-461
Closed Access | Times Cited: 5
Portable graph-based rumour detection against multi-modal heterophily
Thành Tâm Nguyên, Zhao Ren, Thanh Toan Nguyen, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111310-111310
Open Access | Times Cited: 5
GraphMHC: Neoantigen prediction model applying the graph neural network to molecular structure
Hoyeon Jeong, Young‐Rae Cho, Jungsoo Gim, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0291223-e0291223
Open Access | Times Cited: 1
MOL-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
Junwei Yang, Kangjie Zheng, Siyu Long, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
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