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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:

iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes
Hao Lv, Fanny Dao, Dan Zhang, et al.
iScience (2020) Vol. 23, Iss. 4, pp. 100991-100991
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Anticancer peptides prediction with deep representation learning features
Zhibin Lv, Feifei Cui, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 113
scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network
Xin Shao, Haihong Yang, Xiang Zhuang, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. 21, pp. e122-e122
Open Access | Times Cited: 108
DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis
Ruheng Wang, Yi Jiang, Junru Jin, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 7, pp. 3017-3029
Open Access | Times Cited: 98
iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations
Junru Jin, Yingying Yu, Ruheng Wang, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 90
Meta-i6mA: an interspecies predictor for identifying DNAN6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
Md Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 112
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Leyi Wei, Wenjia He, Adeel Malik, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 110
DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning
Juntao Chen, Quan Zou, Jing Li
Frontiers of Computer Science (2021) Vol. 16, Iss. 2
Closed Access | Times Cited: 79
DeepYY1: a deep learning approach to identify YY1-mediated chromatin loops
Fanny Dao, Hao Lv, Dan Zhang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 77
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 76
Machine learning: its challenges and opportunities in plant system biology
Mohsen Hesami, Milad Alizadeh, Andrew Maxwell Phineas Jones, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 9-10, pp. 3507-3530
Closed Access | Times Cited: 50
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
Sho Tsukiyama, Md Mehedi Hasan, Hong‐Wen Deng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 39
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites
Yijie Ding, Prayag Tiwari, Quan Zou, et al.
IEEE Transactions on Fuzzy Systems (2022) Vol. 30, Iss. 11, pp. 4754-4765
Open Access | Times Cited: 37
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation
Xia Yu, Jia Ren, Haixia Long, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 906-912
Open Access | Times Cited: 65
Prediction of drug-target interactions based on multi-layer network representation learning
Yifan Shang, Lin Gao, Quan Zou, et al.
Neurocomputing (2020) Vol. 434, pp. 80-89
Closed Access | Times Cited: 62
A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD
Zhiyu Tao, Yanjuan Li, Zhixia Teng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 57
Computational identification of eukaryotic promoters based on cascaded deep capsule neural networks
Yan Zhu, Fuyi Li, Dongxu Xiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 56
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Hasan Zulfiqar, Zi‐Jie Sun, Qin-Lai Huang, et al.
Methods (2021) Vol. 203, pp. 558-563
Closed Access | Times Cited: 53
iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy
Zahoor Ahmed, Hasan Zulfiqar, Abdullah Aman Khan, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 33
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique
Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 3, pp. 1251-1251
Open Access | Times Cited: 31
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites
Leyao Wang, Yijie Ding, Prayag Tiwari, et al.
Information Sciences (2023) Vol. 630, pp. 40-52
Closed Access | Times Cited: 19
4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 17
PSAC-6mA: 6mA site identifier using self-attention capsule network based on sequence-positioning
Zheyu Zhou, Cuilin Xiao, Jinfen Yin, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108129-108129
Closed Access | Times Cited: 7
Identifying Antioxidant Proteins by Using Amino Acid Composition and Protein-Protein Interactions
Yixiao Zhai, Yu Chen, Zhixia Teng, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 49
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zi-Fan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
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