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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:

Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction
Yinghui Jiang, Shuting Jin, Xurui Jin, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 120
Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 14
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 9
A Topology‐Enhanced Multi‐Viewed Contrastive Approach for Molecular Graph Representation Learning and Classification
Phu Pham
Molecular Informatics (2025) Vol. 44, Iss. 1
Closed Access | Times Cited: 1
Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence
Suvendu Nandi, Soumyadeep Bhaduri, Debraj Das, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 4, pp. 1563-1590
Closed Access | Times Cited: 7
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
CycPeptMP: enhancing membrane permeability prediction of cyclic peptides with multi-level molecular features and data augmentation
Jianan Li, Keisuke Yanagisawa, Yutaka Akiyama
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Advances in Set Function Learning: A Survey of Techniques and Applications
Jia‐Hao Xie, Guangmo Tong
ACM Computing Surveys (2025)
Open Access
HeteroHTC: Enhancing Hierarchical Text Classification via heterogeneity encoding of label hierarchy
Junru Song, Tianlei Chen, Yang Yang, et al.
Expert Systems with Applications (2025), pp. 126558-126558
Closed Access
Bi-directional prediction of hydrothermal carbonization characteristics of agroforestry and livestock wastes with variable components: Graph learning model-aided waste recycle
Zi-Kai Lin, Chao-Sheng Li, Rong-Rong Cai, et al.
Journal of Cleaner Production (2024) Vol. 439, pp. 140894-140894
Closed Access | Times Cited: 3
Combined usage of ligand- and structure-based virtual screening in the artificial intelligence era
Jiyan Dai, Ziyi Zhou, Yanru Zhao, et al.
European Journal of Medicinal Chemistry (2024) Vol. 283, pp. 117162-117162
Closed Access | Times Cited: 3
Extended study on atomic featurization in graph neural networks for molecular property prediction
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery
Nicholas Aksamit, Alain Tchagang, Yifeng Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
FraHMT: A Fragment-Oriented Heterogeneous Graph Molecular Generation Model for Target Proteins
Shuang Wang, Dingming Liang, Jianmin Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 9, pp. 3718-3732
Closed Access | Times Cited: 1
CycPeptMP: Enhancing Membrane Permeability Prediction of Cyclic Peptides with Multi-Level Molecular Features and Data Augmentation
Jianan Li, Keisuke Yanagisawa, Yutaka Akiyama
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
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
A Survey on Recommender Systems using Graph Neural Network
V. D. Anand, Ashish Kumar Maurya
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 1
FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer
D. Hwang, Hyunju Kim, Sunwoo Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 6128-6137
Closed Access | Times Cited: 1
Reusability report: exploring the utility of variational graph encoders for predicting molecular toxicity in drug design
Ruijiang Li, Jiang Lu, Ziyi Liu, et al.
Nature Machine Intelligence (2024)
Open Access | Times Cited: 1
Is fragment-based graph a better graph-based molecular representation for drug design? A comparison study of graph-based models
Baiyu Chen, Ziqi Pan, Minjie Mou, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107811-107811
Closed Access | Times Cited: 3
Meta-learning for transformer-based prediction of potent compounds
Hengwei Chen, Jürgen Bajorath
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
MTS-Net: An enriched topology-aware architecture for molecular graph representation learning
Fan Yang, Qing Zhou, Renbin Su, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 99-110
Closed Access
Hybrid Fragment-SMILES Tokenization for ADMET Prediction in Drug Discovery
Nicholas Aksamit, Alain Tchagang, Yifeng Li, et al.
Research Square (Research Square) (2024)
Open Access
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
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships
Chuang Zhao, Hongke Zhao, Xiaofang Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 8164-8178
Closed Access
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