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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:

LDAformer: predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder
Zhou Yi, Xinyi Wang, Yao Lin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
Nan Sheng, Yan Wang, Lan Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 24
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
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations
Dengju Yao, Bailin Li, Xiaojuan Zhan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
A combined deep learning framework for mammalian m6A site prediction
Rui Fan, Chunmei Cui, B. S. Kang, et al.
Cell Genomics (2024) Vol. 4, Iss. 12, pp. 100697-100697
Open Access | Times Cited: 4
RNA Sequence Analysis Landscape: A Comprehensive Review of Task Types, Databases, Datasets, Word Embedding Methods, and Language Models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Tayyaba Asif, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41488-e41488
Open Access
Multitask Learning Model for Predicting Non-coding RNA-Disease Associations: Incorporating Local and Global Context
Xiaohan Li, Guohua Wang, Dan Li, et al.
Methods (2025)
Closed Access
Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction
Dengju Yao, Bo Zhang, Xiangkui Li, et al.
Frontiers in Genetics (2024) Vol. 14
Open Access | Times Cited: 3
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks
Dengju Yao, Yuexiao Deng, Xiaojuan Zhan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Predicting lncRNA-disease associations based on heterogeneous graph convolutional generative adversarial network
Zhonghao Lu, Hua Zhong, Lin Tang, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011634-e1011634
Open Access | Times Cited: 8
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations
Jinyang Wu, Zhiwei Ning, Yidong Ding, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 7
LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks
Bing Zhang, H. Wang, Chao Ma, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction
Zhiwei Ning, Jinyang Wu, Yidong Ding, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5655-5664
Open Access | Times Cited: 5
Recent advances in machine learning methods for predicting LncRNA and disease associations
Jianjun Tan, Xiaoyi Li, Lu Zhang, et al.
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 8
Transformer-based enhanced model for accurate prediction and comprehensive analysis of hazardous waste generation in Shanghai: Implications for sustainable waste management strategies
Wenjie Shi, Youcai Zhao, Zongsheng Li, et al.
Chemosphere (2023) Vol. 338, pp. 139579-139579
Closed Access | Times Cited: 4
HGECDA: A Heterogeneous Graph Embedding Model for CircRNA-Disease Association Prediction
Yao Fu, Runtao Yang, Lina Zhang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 10, pp. 5177-5186
Closed Access | Times Cited: 4
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder
Wen-Yue Kang, Ying-Lian Gao, Ying Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 3178-3185
Closed Access | Times Cited: 1
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs
Biyu Diao, Jin Luo, Yu Guo
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 314-324
Closed Access | Times Cited: 1
Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM
Zhenguo Su, Lu Huihui, Yan Wu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 2
X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction
Yangkun Cao, Jun Xiao, Nan Sheng, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107634-107634
Closed Access | Times Cited: 2
STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer
Fan Liu, Xiaoyu Yang, Lei Wang, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 10, pp. 919-932
Closed Access
Missing-Tolerant Anomaly Detection for Gateway Electrical Energy Metering Device Based on Improved Transformer
Qi Guo, Ying Shi, Shenpei Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access
AMPGLDA: Predicting LncRNA-Disease Associations Based on Adaptive Meta-Path Generation and Multi-Layer Perceptron
Dengju Yao, Xuehui Zhang, Xiaojuan Zhan
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
深度学习在生物医学领域中的应用简介
Ruisong WANG, Shengnan WANG, Tieliu SHI
Scientia Sinica Vitae (2024)
Closed Access
Predicting lncRNA–Disease Associations Based on a Dual-Path Feature Extraction Network with Multiple Sources of Information Integration
Dengju Yao, Binbin Zhang, Xiaojuan Zhan, et al.
ACS Omega (2024) Vol. 9, Iss. 32, pp. 35100-35112
Open Access
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations in heterogeneous graphs
Laiyi Fu, Zhiyuan Yao, Yangyi Zhou, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
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