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:

iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA
Wei Su, Xue-Qin Xie, Xiaowei Liu, et al.
International Journal of Biological Macromolecules (2022) Vol. 227, pp. 1174-1181
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 2, pp. 102192-102192
Open Access | Times Cited: 11

A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Closed Access | Times Cited: 10

Caps-ac4C: an effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning
Lantian Yao, Peilin Xie, Danhong Dong, et al.
Journal of Molecular Biology (2025), pp. 168961-168961
Closed Access | Times Cited: 1

ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1

MetaboliteCOVID: A manually curated database of metabolite markers for COVID-19
Liping Ren, Lin Ning, Yu Yang, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107661-107661
Closed Access | Times Cited: 14

LSA-ac4C: A hybrid neural network incorporating double-layer LSTM and self-attention mechanism for the prediction of N4-acetylcytidine sites in human mRNA
Fei-Liao Lai, Feng Gao
International Journal of Biological Macromolecules (2023) Vol. 253, pp. 126837-126837
Closed Access | Times Cited: 13

HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108859-108859
Closed Access | Times Cited: 5

i2OM: Toward a better prediction of 2′-O-methylation in human RNA
Yuhe R. Yang, Cai-Yi Ma, Dong Gao, et al.
International Journal of Biological Macromolecules (2023) Vol. 239, pp. 124247-124247
Closed Access | Times Cited: 12

Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 10

DPNN-ac4C: A Dual-Path Neural Network with self-attention mechanism for identification of N4‑acetylcytidine (ac4C) in mRNA
Jiahao Yuan, Ziyi Wang, Zhuoyu Pan, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access | Times Cited: 3

Vaccine development using artificial intelligence and machine learning: A review
Varun Asediya, Pranav Anjaria, R. A. Mathakiya, et al.
International Journal of Biological Macromolecules (2024), pp. 136643-136643
Closed Access | Times Cited: 3

A bi-layer model for identification of piwiRNA using deep neural learning
Adnan Adnan, Hongya Wang, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 11, pp. 5725-5733
Closed Access | Times Cited: 8

Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique
Hasan Zulfiqar, Zahoor Ahmed, Bakanina Kissanga Grace-Mercure, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 7

NanoMUD: Profiling of pseudouridine and N1-methylpseudouridine using Oxford Nanopore direct RNA sequencing
Yuxin Zhang, Huayuan Yan, Zhen Wei, et al.
International Journal of Biological Macromolecules (2024) Vol. 270, pp. 132433-132433
Closed Access | Times Cited: 2

RNA ac4C modification in cancer: Unraveling multifaceted roles and promising therapeutic horizons
Wenhao Ouyang, Zhenjun Huang, Keyu Wan, et al.
Cancer Letters (2024) Vol. 601, pp. 217159-217159
Closed Access | Times Cited: 2

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

TransC-ac4C: Identification of N4-acetylcytidine (ac4C) sites in mRNA using deep learning
Dian Liu, Zi Liu, Yunpeng Xia, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1403-1412
Closed Access | Times Cited: 1

Fuzzy kernel evidence Random Forest for identifying pseudouridine sites
Mingshuai Chen, Mingai Sun, Xi Su, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
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

LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
Muhammad Tahir, Shehroz S. Khan, James Davie, et al.
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access | Times Cited: 1

GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1

Computational identification of promoters in Klebsiella aerogenes by using support vector machine
Yan Lin, Meili Sun, Junjie Zhang, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 3

Computational prediction of allergenic proteins based on multi-feature fusion
Bin Liu, Ziman Yang, Qing Liu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 3

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