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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.

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Showing 25 citing articles:

Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis
Lihong Peng, Pengfei Gao, Wei Xiong, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108110-108110
Closed Access | Times Cited: 12
Enhancing skin disease classification leveraging transformer-based deep learning architectures and explainable AI
Jayanth Mohan, Arrun Sivasubramanian, V. Sowmya, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110007-110007
Closed Access | Times Cited: 1
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
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: 6
MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism
Lihong Peng, Xin Liu, Min Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6684-6698
Closed Access | Times Cited: 6
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Xinfei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
K1K2NN: A Novel Multi-Label Classification Approach Based on Neighbors for Predicting COVID-19 Drug Side Effects
Pranab Das, Dilwar Hussain Mazumder
Computational Biology and Chemistry (2024) Vol. 110, pp. 108066-108066
Closed Access | Times Cited: 4
Prognostic stratification of gastric cancer patients by intratumoral microbiota-mediated tumor immune microenvironment
Wei Gao, Li Fei-Fei, Tina Wu, et al.
Microbial Pathogenesis (2025) Vol. 200, pp. 107296-107296
Closed Access
Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network
Liqian Zhou, Xinhuai Peng, Min Chen, et al.
GigaScience (2025) Vol. 14
Open Access
DO-GMA: An End-to-End Drug–Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism
Lihong Peng, Jiangyang Mao, Guohua Huang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Truncated Arctangent Rank Minimization and Double-Strategy Neighborhood Constraint Graph Inference for Drug–Disease Association Prediction
Tiyao Liu, Shudong Wang, Shanchen Pang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Predicting cell–cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean
Lihong Peng, L. C. Liu, Liangliang Huang, et al.
Applied Soft Computing (2025), pp. 112839-112839
Closed Access
MFF-nDA: A Computational Model for ncRNA–Disease Association Prediction Based on Multimodule Fusion
Zhihao Guan, Xiu Jin, Xiaodan Zhang
Journal of Chemical Information and Modeling (2025)
Closed Access
Exploring the Role of T‐Cell Metabolism in Modulating Immunotherapy Efficacy for Non‐Small Cell Lung Cancer Based on Clustering
Hua Guo, Liangyu Zhang, Tang Hu, et al.
Journal of Clinical Laboratory Analysis (2025)
Open Access
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders
Huiying Liu, Xiangzheng Fu, Haiting Chen, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 29-39
Closed Access | Times Cited: 3
SEnSCA: Identifying possible ligand‐receptor interactions and its application in cell–cell communication inference
Liqian Zhou, Xiwen Wang, Lihong Peng, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 2
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
Yajun Liu, Fan Zhang, Yulian Ding, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 17
Open Access | Times Cited: 2
DP-site: A dual deep learning-based method for protein-peptide interaction site prediction
Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh
Methods (2024) Vol. 229, pp. 17-29
Closed Access | Times Cited: 1
A computational model for potential microbe–disease association detection based on improved graph convolutional networks and multi-channel autoencoders
Chuyi Zhang, Zhen Zhang, Feng Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
HeteroKGRep: Heterogeneous Knowledge Graph based Drug Repositioning
Ribot Fleury Téné Ceskoutsé, Alain Bertrand Bomgni, David R. Gnimpieba Zanfack, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112638-112638
Closed Access | Times Cited: 1
Empowering Graph Neural Networks with Block-Based Dual Adaptive Deep Adjustment for Drug Resistance-Related NcRNA Discovery
Yi Zhang, Xuanzhao Li
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3537-3547
Open Access
Predicting ligand-receptor interactions based on LSTM network with the attention mechanism and its application on cell-cell communication inference
Ruogu Luo, Pengfei Gao, Min Chen, et al.
Research Square (Research Square) (2024)
Open Access
Alg-MFDL: A multi-feature deep learning framework for allergenic proteins prediction
Xiang Hu, Jingyi Li, Taigang Liu
Analytical Biochemistry (2024), pp. 115701-115701
Closed Access
The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs
Yuxiao Wei, Qi Zhang, Liwei Liu
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
THGB: predicting ligand-receptor interactions by combining tree boosting and histogram-based gradient boosting
Liqian Zhou, Jiao Song, Zejun Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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