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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:

iProEP: A Computational Predictor for Predicting Promoter
Hong-Yan Lai, Zhao‐Yue Zhang, Zhendong Su, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 17, pp. 337-346
Open Access | Times Cited: 153

Showing 26-50 of 153 citing articles:

Genomic benchmarks: a collection of datasets for genomic sequence classification
Katarína Grešová, Vlastimil Martinek, David Čechák, et al.
BMC Genomic Data (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 20
Computationally guided AAV engineering for enhanced gene delivery
Jingxuan Guo, Li Lin, Sydney V. Oraskovich, et al.
Trends in Biochemical Sciences (2024) Vol. 49, Iss. 5, pp. 457-469
Open Access | Times Cited: 7
6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
Qianfei Huang, Jun Zhang, Leyi Wei, et al.
Frontiers in Plant Science (2020) Vol. 11
Open Access | Times Cited: 45
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
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 16, pp. 8958-8958
Open Access | Times Cited: 38
The stacking strategy-based hybrid framework for identifying non-coding RNAs
Xin Wang, Yang Yang, Jian Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 37
Promotech: a general tool for bacterial promoter recognition
Ruben Chevez-Guardado, Lourdes Peña‐Castillo
Genome biology (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 37
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 24
iRNA-m2G: Identifying N2-methylguanosine Sites Based on Sequence-Derived Information
Wei Chen, Xiaoming Song, Hao Lv, et al.
Molecular Therapy — Nucleic Acids (2019) Vol. 18, pp. 253-258
Open Access | Times Cited: 39
Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis
Pengfei Liang, Wuritu Yang, Xing Chen, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 20, pp. 155-163
Open Access | Times Cited: 38
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species
Qiang Tang, Juanjuan Kang, Jiaqing Yuan, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3327-3335
Open Access | Times Cited: 38
iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides
Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, et al.
Genomics (2020) Vol. 113, Iss. 1, pp. 689-698
Open Access | Times Cited: 38
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species
Nikita Bhandari, Satyajeet P. Khare, Rahee Walambe, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e365-e365
Open Access | Times Cited: 32
Elucidating the functional roles of prokaryotic proteins using big data and artificial intelligence
Zachary Ardern, Sagarika Chakraborty, Florian Lenk, et al.
FEMS Microbiology Reviews (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 12
iPro2L-DG: Hybrid network based on improved densenet and global attention mechanism for identifying promoter sequences
Rufeng Lei, Jianhua Jia, Lulu Qin, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27364-e27364
Open Access | Times Cited: 4
In Silico Approaches for the Prediction and Analysis of Antiviral Peptides: A Review
Phasit Charoenkwan, Nuttapat Anuwongcharoen, Chanin Nantasenamat, et al.
Current Pharmaceutical Design (2020) Vol. 27, Iss. 18, pp. 2180-2188
Closed Access | Times Cited: 30
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
EP3: an ensemble predictor that accurately identifies type III secreted effectors
Jing Li, Leyi Wei, Fei Guo, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1918-1928
Closed Access | Times Cited: 29
iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection
Yunyun Liang, Shengli Zhang, Huijuan Qiao, et al.
Analytical Biochemistry (2021) Vol. 630, pp. 114335-114335
Closed Access | Times Cited: 26
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction
Meng Zhang, Cangzhi Jia, Fuyi Li, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 26
Detection of transcription factors binding to methylated DNA by deep recurrent neural network
Hongfei Li, Yue Gong, Yifeng Liu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 24
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
Phasit Charoenkwan, Nalini Schaduangrat, Píetro Lió, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105700-105700
Closed Access | Times Cited: 19
Explainable artificial intelligence as a reliable annotator of archaeal promoter regions
Gustavo Sganzerla Martinez, Ernesto Pérez‐Rueda, Aditya Kumar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Challenges and advances towards the rational design of microalgal synthetic promoters in Chlamydomonas reinhardtii
Alfonsina Milito, Moritz Aschern, Josie L. McQuillan, et al.
Journal of Experimental Botany (2023) Vol. 74, Iss. 13, pp. 3833-3850
Open Access | Times Cited: 10
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: 10

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