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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:

Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
Wenya Wang, Li Zhang, Jianqiang Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 189

Showing 1-25 of 189 citing articles:

Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism
Tianyi Wang, Jianqiang Sun, Qi Zhao
Computers in Biology and Medicine (2022) Vol. 153, pp. 106464-106464
Closed Access | Times Cited: 165
Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization
Hongyan Gao, Jianqiang Sun, Yukun Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 101
Gene function and cell surface protein association analysis based on single-cell multiomics data
Huan Hu, Zhen Feng, Hai Lin, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106733-106733
Closed Access | Times Cited: 91
DCAMCP: A deep learning model based on capsule network and attention mechanism for molecular carcinogenicity prediction
Zhe Chen, Li Zhang, Jianqiang Sun, et al.
Journal of Cellular and Molecular Medicine (2023) Vol. 27, Iss. 20, pp. 3117-3126
Open Access | Times Cited: 80
scAAGA: Single cell data analysis framework using asymmetric autoencoder with gene attention
Rui Meng, Shuaidong Yin, Jianqiang Sun, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107414-107414
Closed Access | Times Cited: 68
FM-FCN: A Neural Network with Filtering Modules for Accurate Vital Signs Extraction
Fangfang Zhu, Qichao Niu, Xiang Li, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 32
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: 28
Oral_voting_transfer: classification of oral microorganisms’ function proteins with voting transfer model
Wenzheng Bao, Yujun Liu, Baitong Chen
Frontiers in Microbiology (2024) Vol. 14
Open Access | Times Cited: 20
oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization
Fangfang Zhu, Zhenhao Shuai, Yuer Lu, et al.
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101567-101567
Closed Access | Times Cited: 20
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis
Fangfang Zhu, Ji Ding, Xiang Li, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 17
Predicting noncoding RNA and disease associations using multigraph contrastive learning
Si-Lin Sun, Yi Jiang, Jun-Ping Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
MPCLCDA: predicting circRNA–disease associations by using automatically selected meta-path and contrastive learning
Wei Liu, Ting Tang, Xu Lu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 38
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: 37
Predicting drug-induced liver injury using graph attention mechanism and molecular fingerprints
Jifeng Wang, Li Zhang, Jianqiang Sun, et al.
Methods (2023) Vol. 221, pp. 18-26
Open Access | Times Cited: 35
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
Predicting the potential associations between circRNA and drug sensitivity using a multisource feature‐based approach
Shuaidong Yin, Peng Xu, Yefeng Jiang, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 13
LncRNA–miRNA interactions prediction based on meta‐path similarity and Gaussian kernel similarity
Jingxuan Xie, Peng Xu, Lin Ye, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 19
Open Access | Times Cited: 11
A novel diabetic foot ulcer diagnostic model: identification and analysis of genes related to glutamine metabolism and immune infiltration
Hongshuo Shi, Xin Yuan, Xiao Yang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 10
Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association
Jihwan Ha
IEEE Access (2024) Vol. 12, pp. 70297-70304
Open Access | Times Cited: 9
A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions
Bo-Wei Zhao, Xiaorui Su, Yue Yang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2924-2933
Open Access | Times Cited: 9
DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks
Guang Yang, Yinbo Liu, SiJian Wen, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors
Xin Yang, Yang Wang, Lin Ye, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation
Guobo Xie, Rui-Bin Chen, Zhiyi Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes
Ping Xuan, Jing Gu, Hui Cui, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 8
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