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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: 104

Showing 26-50 of 104 citing articles:

Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 406-420
Open Access | Times Cited: 44
Prediction of Anticancer Peptides Using a Low-Dimensional Feature Model
Qingwen Li, Wenyang Zhou, Donghua Wang, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 39
DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species
Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 6009-6019
Open Access | Times Cited: 37
iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization
Yingying Yu, Wenjia He, Junru Jin, et al.
Bioinformatics (2021) Vol. 37, Iss. 24, pp. 4603-4610
Closed Access | Times Cited: 36
A deep learning approach to automate whole‐genome prediction of diverse epigenomic modifications in plants
Yifan Wang, Pingxian Zhang, Weijun Guo, et al.
New Phytologist (2021) Vol. 232, Iss. 2, pp. 880-897
Open Access | Times Cited: 34
eHSCPr discriminating the cell identity involved in endothelial to hematopoietic transition
Hao Wang, Pengfei Liang, Lei Zheng, et al.
Bioinformatics (2021) Vol. 37, Iss. 15, pp. 2157-2164
Closed Access | Times Cited: 33
Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction
Ying Liang, Yanan Wu, Zequn Zhang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 23
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites
Yijie Ding, Prayag Tiwari, Fei Guo, et al.
Information Fusion (2023) Vol. 100, pp. 101911-101911
Open Access | Times Cited: 14
Methyl-GP: accurate generic DNA methylation prediction based on a language model and representation learning
Hao Xie, Leyao Wang, Yuqing Qian, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 6
Open Access
Critical evaluation of web-based DNA N6-methyladenine site prediction tools
Md Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata, et al.
Briefings in Functional Genomics (2020) Vol. 20, Iss. 4, pp. 258-272
Closed Access | Times Cited: 37
iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network
Fanny Dao, Hao Lv, Wei Su, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 32
MuLan-Methyl—multiple transformer-based language models for accurate DNA methylation prediction
Wenhuan Zeng, Anupam Gautam, Daniel H. Huson
GigaScience (2022) Vol. 12
Open Access | Times Cited: 19
Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity
Raid Halawani, Michael Büchert, Yi‐Ping Phoebe Chen
Computers in Biology and Medicine (2023) Vol. 164, pp. 107274-107274
Closed Access | Times Cited: 11
An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy
Wenxing Hu, Yan Yue, Ruomei Yan, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 30
ACP-GCN: The Identification of Anticancer Peptides Based on Graph Convolution Networks
B. Dharma Rao, Lichao Zhang, Guoying Zhang
IEEE Access (2020) Vol. 8, pp. 176005-176011
Open Access | Times Cited: 29
4mC-RF: Improving the prediction of 4mC sites using composition and position relative features and statistical moment
Wajdi Alghamdi, Ebraheem Alzahrani, Malik Zaka Ullah, et al.
Analytical Biochemistry (2021) Vol. 633, pp. 114385-114385
Closed Access | Times Cited: 24
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Balachandran Manavalan, Shaherin Basith, Gwang Lee
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 24
EpiTEAmDNA: Sequence feature representation via transfer learning and ensemble learning for identifying multiple DNA epigenetic modification types across species
Fei Li, Shuai Liu, Kewei Li, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 107030-107030
Closed Access | Times Cited: 9
PromGER: Promoter Prediction Based on Graph Embedding and Ensemble Learning for Eukaryotic Sequence
Yan Wang, Shiwen Tai, Shuangquan Zhang, et al.
Genes (2023) Vol. 14, Iss. 7, pp. 1441-1441
Open Access | Times Cited: 9
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 15
iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples
Hang Wei, Yuxin Ding, Bin Liu
Computational Biology and Chemistry (2020) Vol. 88, pp. 107361-107361
Closed Access | Times Cited: 21
BDselect: A Package for k-mer Selection Based on the Binomial Distribution
Fanny Dao, Hao Lv, Zhao‐Yue Zhang, et al.
Current Bioinformatics (2021) Vol. 17, Iss. 3, pp. 238-244
Closed Access | Times Cited: 18
EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops
Dipro Sinha, Tanwy Dasmandal, Md Yeasin, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 7, pp. 587-597
Closed Access | Times Cited: 7
The markers of the predictive DNA test for canine hip dysplasia may have a stronger relationship with elbow dysplasia
Sena Ardıçlı, Pelin Yigitgor, Huseyn Babayev, et al.
Heliyon (2024), pp. e37716-e37716
Open Access | Times Cited: 2

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