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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:

A novel method for improved accuracy of transcription factor binding site prediction
Abdullah M. Khamis, Olaa Motwalli, Romina Oliva, et al.
Nucleic Acids Research (2018) Vol. 46, Iss. 12, pp. e72-e72
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Yanrong Ji, Zhihan Zhou, Han Liu, et al.
Bioinformatics (2021) Vol. 37, Iss. 15, pp. 2112-2120
Open Access | Times Cited: 602
Antioxidant response elements: Discovery, classes, regulation and potential applications
Azhwar Raghunath, Kiruthika Sundarraj, Nagarajan Raju, et al.
Redox Biology (2018) Vol. 17, pp. 297-314
Open Access | Times Cited: 406
CiiiDER: A tool for predicting and analysing transcription factor binding sites
Linden J. Gearing, Helen Cumming, Ross Chapman, et al.
PLoS ONE (2019) Vol. 14, Iss. 9, pp. e0215495-e0215495
Open Access | Times Cited: 194
HOCOMOCO in 2024: a rebuild of the curated collection of binding models for human and mouse transcription factors
Ilya E. Vorontsov, Irina A. Eliseeva, Arsenii Zinkevich, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D154-D163
Open Access | Times Cited: 55
Machine learning: A powerful tool for gene function prediction in plants
Elizabeth H. Mahood, Lars Kruse, Gaurav D. Moghe
Applications in Plant Sciences (2020) Vol. 8, Iss. 7
Open Access | Times Cited: 114
In Silico Methods for Identification of Potential Active Sites of Therapeutic Targets
Jianbo Liao, Qinyu Wang, Fengxu Wu, et al.
Molecules (2022) Vol. 27, Iss. 20, pp. 7103-7103
Open Access | Times Cited: 56
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Yanrong Ji, Zhihan Zhou, Han Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 49
Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle
Goutam Sahana, Zexi Cai, Marie-Pierre Sanchez, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 8, pp. 5218-5241
Open Access | Times Cited: 16
A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape
Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 29
Recent advances in exploring transcriptional regulatory landscape of crops
Qiang Huo, Rentao Song, Zeyang Ma
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 4
A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning
Yuanqi Zeng, Meiqin Gong, Lin Meng, et al.
IEEE Access (2020) Vol. 8, pp. 219256-219274
Open Access | Times Cited: 32
Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics
Liudmyla Kondratova, C. Eduardo Vallejos, Ana Conesa
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access
Enhancer reprogramming: critical roles in cancer and promising therapeutic strategies
Jinshou Yang, Feihan Zhou, Xiyuan Luo, et al.
Cell Death Discovery (2025) Vol. 11, Iss. 1
Open Access
deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, et al.
Advanced Science (2025)
Open Access
Sequence-based GWAS and post-GWAS analyses reveal a key role of SLC37A1, ANKH, and regulatory regions on bovine milk mineral content
Marie-Pierre Sanchez, Dominique Rocha, Mathieu Charles, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 21
Integrative single-nucleus multi-omics analysis prioritizes candidate cis and trans regulatory networks and their target genes in Alzheimer’s disease brains
Julia Gamache, Daniel Gingerich, E. Keats Shwab, et al.
Cell & Bioscience (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Hybrid model for efficient prediction of poly(A) signals in human genomic DNA
Fahad Albalawi, Abderrazak Chahid, Xingang Guo, et al.
Methods (2019) Vol. 166, pp. 31-39
Open Access | Times Cited: 24
AcneGrader: An ensemble pruning of the deep learning base models to grade acne
Shuai Liu, Yusi Fan, Meiyu Duan, et al.
Skin Research and Technology (2022) Vol. 28, Iss. 5, pp. 677-688
Open Access | Times Cited: 13
A compendium of genetic regulatory effects across pig tissues
Lingzhao Fang, Jinyan Teng, Yahui Gao, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 12
RiceTFtarget: A rice transcription factor–target prediction server based on coexpression and machine learning
Baoyi Zhang, Xueai Zhu, Zixin Chen, et al.
PLANT PHYSIOLOGY (2023) Vol. 193, Iss. 1, pp. 190-194
Closed Access | Times Cited: 7
In silico based screening of WRKY genes for identifying functional genes regulated by WRKY under salt stress
Sameer Hassan, Johanna Lethin, Rasmus Blomberg, et al.
Computational Biology and Chemistry (2019) Vol. 83, pp. 107131-107131
Closed Access | Times Cited: 18
Identification of variants of ISL1 gene promoter and cellular functions in isolated ventricular septal defects
Si‐qiang Zheng, Huanxin Chen, Xiao‐Cheng Liu, et al.
AJP Cell Physiology (2021) Vol. 321, Iss. 3, pp. C443-C452
Closed Access | Times Cited: 15
Engineered transcription factor-binding diversed functional nucleic acid-based synthetic biosensor
Yanger Liu, Ziying Zhou, Yifan Wu, et al.
Biotechnology Advances (2024), pp. 108463-108463
Closed Access | Times Cited: 2
Detection of selection signatures in Limousin cattle using whole‐genome resequencing
Mahendra Mariadassou, Yuliaxis Ramayo‐Caldas, Mathieu Charles, et al.
Animal Genetics (2020) Vol. 51, Iss. 5, pp. 815-819
Open Access | Times Cited: 13
Integrating genome sequence and structural data for statistical learning to predict transcription factor binding sites
Pengpeng Long, Lu Zhang, Bin Huang, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 22, pp. 12604-12617
Open Access | Times Cited: 12
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