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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:

DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2′-O-Dimethyladenosine Sites in RNA Sequences
Zhengtao Luo, Wei Su, Liliang Lou, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 19, pp. 11026-11026
Open Access | Times Cited: 21

Showing 21 citing articles:

Molecular insights into regulatory RNAs in the cellular machinery
Sumin Yang, Sung-Hyun Kim, Eun-Jeong Yang, et al.
Experimental & Molecular Medicine (2024) Vol. 56, Iss. 6, pp. 1235-1249
Open Access | Times Cited: 12
RNA modification m 6 Am: the role in cardiac biology
Daniel Benák, František Kolář, Lu Zhang, et al.
Epigenetics (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 17
Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications
Sirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107238-107238
Closed Access | Times Cited: 14
m6Aminer: Predicting the m6Am Sites on mRNA by Fusing Multiple Sequence-Derived Features into a CatBoost-Based Classifier
Ze Liu, Pengfei Lan, Ting Liu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 7878-7878
Open Access | Times Cited: 10
Using statistical analysis to explore the influencing factors of data imbalance for machine learning identification methods of human transcriptome m6A modification sites
Mingxin Li, Rujun Li, Yichi Zhang, et al.
Computational Biology and Chemistry (2025) Vol. 115, pp. 108351-108351
Closed Access
DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms
Hui Huang, Fenglin Zhou, Jianhua Jia, et al.
Frontiers in Bioscience-Landmark (2025) Vol. 30, Iss. 4
Open Access
Role of Post-Transcriptional Regulation in Learning and Memory in Mammals
Carlo Maria Di Liegro, Gabriella Schiera, Giuseppe Schirò, et al.
Genes (2024) Vol. 15, Iss. 3, pp. 337-337
Open Access | Times Cited: 2
Regulatory effect of N6-methyladenosine on tumor angiogenesis
Yuyan, Enwu Yuan
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
DGA-5mC: A 5-methylcytosine site prediction model based on an improved DenseNet and bidirectional GRU method
Jianhua Jia, Lulu Qin, Rufeng Lei
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 9759-9780
Open Access | Times Cited: 5
EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning
Bailing Zhou, Maolin Ding, Jing Feng, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Dynamic regulation and key roles of ribonucleic acid methylation
Jia Zou, Hui Liu, Wei Tan, et al.
Frontiers in Cellular Neuroscience (2022) Vol. 16
Open Access | Times Cited: 7
BiPSTP: Sequence feature encoding method for identifying different RNA modifications with bidirectional position-specific trinucleotides propensities
Mingzhao Wang, Haider Ali, Yandi Xu, et al.
Journal of Biological Chemistry (2024) Vol. 300, Iss. 4, pp. 107140-107140
Open Access | Times Cited: 1
Voting-ac4C:Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction
Yulian Jia, Zilong Zhang, Shankai Yan, et al.
International Journal of Biological Macromolecules (2024) Vol. 282, pp. 136940-136940
Closed Access | Times Cited: 1
DLC-ac4C: A Prediction Model for N4-acetylcytidine Sites in Human mRNA Based on DenseNet and Bidirectional LSTM Methods
Jianhua Jia, Xiaojing Cao, Zhangying Wei
Current Genomics (2023) Vol. 24, Iss. 3, pp. 171-186
Open Access | Times Cited: 3
EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning
Jianhua Jia, Zhangying Wei, Mingwei Sun
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Stacking-ac4C: an ensemble model using mixed features for identifying n4-acetylcytidine in mRNA
Li-Liang Lou, Wang‐Ren Qiu, Zi Liu, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 3
CircPCBL: Identification of Plant CircRNAs with a CNN-BiGRU-GLT Model
Pengpeng Wu, Zhenjun Nie, Zhiqiang Huang, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1652-1652
Open Access | Times Cited: 2
im5C-DSCGA: A Proposed Hybrid Framework Based on Improved DenseNet and Attention Mechanisms for Identifying 5-methylcytosine Sites in Human RNA
Jianhua Jia, Lulu Qin, Rufeng Lei
Frontiers in Bioscience-Landmark (2023) Vol. 28, Iss. 12, pp. 346-346
Open Access | Times Cited: 2
PseUpred-ELPSO Is an Ensemble Learning Predictor with Particle Swarm Optimizer for Improving the Prediction of RNA Pseudouridine Sites
Xiao Wang, Pengfei Li, Rong Wang, et al.
Biology (2024) Vol. 13, Iss. 4, pp. 248-248
Open Access
CapsNet-TIS: Predicting translation initiation site based on multi-feature fusion and improved capsule network
Yu Chen, Guojun Sheng, Gang Wang
Gene (2024) Vol. 924, pp. 148598-148598
Closed Access
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