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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:

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery
H. Choo, JunJie Wee, Cong Shen, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2928-2935
Closed Access | Times Cited: 17

Showing 17 citing articles:

NIRFluor: A Deep Learning Platform for Rapid Screening of Small Molecule Near-Infrared Fluorophores with Desired Optical Properties
Xiaozhi Wang, Hai‐Long Wu, Tong Wang, et al.
Analytical Chemistry (2025)
Closed Access | Times Cited: 1
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks
Kumail Alhamoud, Yasir Ghunaim, Abdulelah S. Alshehri, et al.
Computers & Chemical Engineering (2024) Vol. 183, pp. 108622-108622
Closed Access | Times Cited: 5
GraphADT: empowering interpretable predictions of acute dermal toxicity with multi-view graph pooling and structure remapping
Xinqian Ma, Xiangzheng Fu, Tao Wang, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access | Times Cited: 5
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
Mfgnn: Multi‐Scale Feature‐Attentive Graph Neural Networks for Molecular Property Prediction
Wanghao Ye, Jingcheng Li, Xianfa Cai
Journal of Computational Chemistry (2025) Vol. 46, Iss. 3
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
Hybrid intelligence for environmental pollution: biodegradability assessment of organic compounds through multimodal integration of graph attention networks and QSAR models
Abbas Salimi, Jin Yong Lee
Environmental Science Processes & Impacts (2025)
Closed Access
FP-MAP: an extensive library of fingerprint-based molecular activity prediction tools
Vishwesh Venkatraman
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 5
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
GraphEGFR: Multi‐task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity
Bundit Boonyarit, Nattawin Yamprasert, Pawit Kaewnuratchadasorn, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 23, pp. 2001-2023
Closed Access | Times Cited: 1
Co-training based prediction of multi-label protein–protein interactions
Tao Tang, Xiaocai Zhang, Weizhuo Li, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108623-108623
Closed 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
Integrating Prior Chemical Knowledge into the Graph Transformer Network to Predict the Stability Constants of Chelating Agents and Metal Ions
Geng Chen, Yiyang Qin, Rong Sheng
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 15, pp. 5867-5877
Closed Access
Discovery of novel VEGFR2 inhibitors against non-small cell lung cancer based on fingerprint-enhanced graph attention convolutional network
Zixiao Wang, Lili Sun, Yu Xu, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access
Geometry-based BERT: an experimentally validated deep learning model for molecular property prediction in drug discovery
Xiang Zhang, Chenliang Qian, Bochao Yang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Exploring Graph and Digraph Persistence
Mattia G. Bergomi, Massimo Ferri
Algorithms (2023) Vol. 16, Iss. 10, pp. 465-465
Open Access | Times Cited: 1
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
Shida He, Xiucai Ye, Lijun Dou, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107762-107762
Closed Access | Times Cited: 1
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