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:

TransFoxMol: predicting molecular property with focused attention
Jian Gao, Zheyuan Shen, Yufeng Xie, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 20

Showing 20 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: 102

Multi-task aquatic toxicity prediction model based on multi-level features fusion
Xin Yang, Jianqiang Sun, Bingyu Jin, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 17

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: 5

Chemical SuperLearner (ChemSL) - An automated machine learning framework for building physical and chemical properties model
Balaji Mohan, Junseok Chang
Chemical Engineering Science (2024) Vol. 294, pp. 120111-120111
Closed Access | Times Cited: 4

A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 3

INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property prediction
Jing Jiang, Yachao Li, Ruisheng Zhang, et al.
Journal of Molecular Graphics and Modelling (2024) Vol. 128, pp. 108703-108703
Closed Access | Times Cited: 2

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction
Ao Shen, Mingzhi Yuan, Yingfan Ma, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 2

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: 2

MIDF-DMAP: Multimodal information dynamic fusion for drug molecule activity prediction
Wenlong Yi, Li Zhang, Yilu Xu, et al.
Expert Systems with Applications (2024), pp. 125403-125403
Closed Access | Times Cited: 2

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

KnoMol: A Knowledge-Enhanced Graph Transformer for Molecular Property Prediction
Jian Gao, Zheyuan Shen, Lu Yan, et al.
Journal of Chemical Information and Modeling (2024)
Closed 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

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

Gram matrix: an efficient representation of molecular conformation and learning objective for molecular pretraining
Wenkai Xiang, Feisheng Zhong, Ni Lin, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
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

DGCL: dual-graph neural networks contrastive learning for molecular property prediction
Xiuyu Jiang, Liqin Tan, Qingsong Zou
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access

LSTM-GNN: A Multi-Channel Model for Molecular Properties Prediction
Zhongyang Wen, Han Zhou, Xiumin Shi, et al.
(2024), pp. 108-114
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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