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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:

Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
Lihong Peng, Jingwei Tan, Wei Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107137-107137
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 52
CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction
Fatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2577-2585
Closed Access | Times Cited: 28
STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 27
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis
Lihong Peng, Wei Xiong, Chendi Han, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 580-591
Closed Access | Times Cited: 25
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine
Lihong Peng, Liangliang Huang, Qiongli Su, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 25
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
Drug repositioning based on tripartite cross-network embedding and graph convolutional network
Pan Zeng, Bofei Zhang, Aohang Liu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124152-124152
Closed Access | Times Cited: 8
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
SCPLPA: An miRNA–disease association prediction model based on spatial consistency projection and label propagation algorithm
Min Chen, Yingwei Deng, Zejun Li, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 9
Open Access | Times Cited: 5
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
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
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
Application of Deep Learning for Single Cell Multi-Omics: A State-of-the-Art Review
Shahid Ahmad Wani, Sumeer Ahmad Khan, S. M. K. Quadri
Archives of Computational Methods in Engineering (2025)
Closed Access
Chrombus-XMBD: a graph convolution model predicting 3D-genome from chromatin features
Yuanyuan Zeng, Zhiyu You, Jiayang Guo, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 3
Open Access
Microbiota-induced inflammatory responses in bladder tumors promote epithelial-mesenchymal transition and enhanced immune infiltration
Qiang Li, Yichao Sun, Kun Zhai, et al.
Physiological Genomics (2024) Vol. 56, Iss. 8, pp. 544-554
Closed Access | Times Cited: 3
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
Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network
Lihong Peng, Liangliang Huang, Geng Tian, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 8
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
StereoSiTE: a framework to spatially and quantitatively profile the cellular neighborhood organized iTME
Xing Liu, Chi Qu, Chuandong Liu, et al.
GigaScience (2024) Vol. 13
Open Access | Times Cited: 2
CVGAE: A Self-Supervised Generative Method for Gene Regulatory Network Inference Using Single-Cell RNA Sequencing Data
Wei Liu, Zhijie Teng, Zejun Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 990-1004
Closed Access | Times Cited: 1
Drug repositioning based on residual attention network and free multiscale adversarial training
Guanghui Li, Shuwen Li, Liang Cheng, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
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
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