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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:

Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites
Ying Zhang, Yan Liu, Jian Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 61

Showing 26-50 of 61 citing articles:

BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT
Shuyu Wang, Yinbo Liu, Yufeng Liu, et al.
PeerJ (2023) Vol. 11, pp. e16600-e16600
Open Access | Times Cited: 6
Interpretability Analysis of One-Year Mortality Prediction for Stroke Patients Based on Deep Neural Network
Shuo Zhang, Jing Wang, Lulu Pei, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 4, pp. 1903-1910
Closed Access | Times Cited: 12
Cross talk between tumor stemness and microenvironment for prognosis and immunotherapy of uveal melanoma
Qi Wan, Xiang Ren, Jing Tang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 13, pp. 11951-11968
Closed Access | Times Cited: 4
SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding
Xuan Yu, Jun Hu, Ying Zhang
Computers in Biology and Medicine (2023) Vol. 166, pp. 107533-107533
Closed Access | Times Cited: 4
Analysis of Emerging Variants of Turkey Reovirus using Machine Learning
Maryam KafiKang, Chamudi Abeysiriwardana, Vikash Singh, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
Artificial Intelligence in Medical Affairs: A New Paradigm with Novel Opportunities
Emma Fröling, Neda Rajaeean, Klara Sonnie Hinrichsmeyer, et al.
Pharmaceutical Medicine (2024)
Open Access | Times Cited: 1
Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects
Xiaoyu Wang, Fuyi Li, Yiwen Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
Exploring the interaction mechanism between antagonist and the jasmonate receptor complex by molecular dynamics simulation
Mengqi Cui, Kun Zhang, Ruihan Wu, et al.
Journal of Computer-Aided Molecular Design (2022) Vol. 36, Iss. 2, pp. 141-155
Closed Access | Times Cited: 7
Machine learning in neuro-oncology: toward novel development fields
Vincenzo Di Nunno, Mario Fordellone, Giuseppe Minniti, et al.
Journal of Neuro-Oncology (2022) Vol. 159, Iss. 2, pp. 333-346
Closed Access | Times Cited: 7
ATGPred-FL: sequence-based prediction of autophagy proteins with feature representation learning
Shihu Jiao, Zheng Chen, Lichao Zhang, et al.
Amino Acids (2022) Vol. 54, Iss. 5, pp. 799-809
Closed Access | Times Cited: 5
Construction of lncRNA TYMSOS/hsa-miR-101-3p/CEP55 and TYMSOS/hsa-miR-195-5p/CHEK1 Axis in Non-small Cell Lung Cancer
Longtao Ji, Ting Yang, Man Liu, et al.
Biochemical Genetics (2022) Vol. 61, Iss. 3, pp. 995-1014
Closed Access | Times Cited: 5
Systematic analysis of transcriptome signature for improving outcomes in lung adenocarcinoma
Xiaoyong Ge, Hui Xu, Siyuan Weng, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 11, pp. 8951-8968
Closed Access | Times Cited: 2
Grade scoring system reveals distinct molecular subtypes and identifies KIF20A as a novel biomarker for predicting temozolomide treatment efficiency in gliomas
Liguo Ye, Shiao Tong, Yaning Wang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 9857-9876
Closed Access | Times Cited: 2
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
Guohua Huang, Xiaohong Huang, Wei Luo
BioData Mining (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Pathogenesis and Therapeutic Targets of Focal Cortical Dysplasia Based on Bioinformatics Analysis
Ying Kan, Lijuan Feng, Yukun Si, et al.
Neurochemical Research (2022) Vol. 47, Iss. 11, pp. 3506-3521
Closed Access | Times Cited: 4
A novel prognostic model for cutaneous melanoma based on an immune-related gene signature and clinical variables
Yifan Tang, Huicong Feng, Lupeng Zhang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 4
S2Snet: deep learning for low molecular weight RNA identification with nanopore
Xiaoyu Guan, Yuqin Wang, Wei Shao, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 3
Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network
Xueqiang Fan, Jun Hu, Yu-Xuan Tang, et al.
Analytical Biochemistry (2022) Vol. 654, pp. 114802-114802
Closed Access | Times Cited: 3
Constructed the ceRNA network and predicted a FEZF1-AS1/miR-92b-3p/ZIC5 axis in colon cancer
Xiaoping Yang, Pingfan Wu, Zirui Wang, et al.
Molecular and Cellular Biochemistry (2022) Vol. 478, Iss. 5, pp. 1083-1097
Closed Access | Times Cited: 3
U-Net for genomic sequencing: A novel approach to DNA sequence classification
Raghad K. Mohammed, Azmi Tawfeq Hussein Alrawi, Ali Jbaeer Dawood
Alexandria Engineering Journal (2024) Vol. 96, pp. 323-331
Open Access
Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes
Yidi Sun, Zhuoyu Pan, Ziyi Wang, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access
Molecular Indicator for Distinguishing Multi-drug-Resistant Tuberculosis from Drug Sensitivity Tuberculosis and Potential Medications for Treatment
Shulin Song, Donghui Gan, Di Wu, et al.
Molecular Biotechnology (2024)
Closed Access
iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation
Xia Yu, Yani Cui, Zhichao Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0301791-e0301791
Open Access
iResNetDM: An interpretable deep learning approach for four types of DNA methylation modification prediction
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4214-4221
Open Access
Predicting CTCF cell type active binding sites in human genome
Lu Chai, Jie Gao, Zihan Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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