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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 survey on protein–DNA-binding sites in computational biology
Yue Zhang, Wenzheng Bao, Yi Cao, et al.
Briefings in Functional Genomics (2022) Vol. 21, Iss. 5, pp. 357-375
Closed Access | Times Cited: 16

Showing 16 citing articles:

PDA-Pred: Predicting the binding affinity of protein-DNA complexes using machine learning techniques and structural features
Kannan Harini, Daisuke Kihara, M. Michael Gromiha
Methods (2023) Vol. 213, pp. 10-17
Open Access | Times Cited: 16
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins
Jian Zhang, Sushmita Basu, Lukasz Kurgan
Nucleic Acids Research (2023) Vol. 52, Iss. 2, pp. e10-e10
Open Access | Times Cited: 16
RUDEUS, a machine learning classification system to study DNA-Binding proteins
David Medina-Ortiz, Gabriel Cabas-Mora, Iván Moya-Barría, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5
Transformer technology in molecular science
Jiang Jian, Ke Lü, Long Chen, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 4
Open Access | Times Cited: 5
DNA–Protein Binding is Dominated by Short Anchoring Elements
Hong Chen, Yongping Xu, Hao Ge, et al.
Advanced Science (2025)
Open Access
A Comprehensive Review of Computational Methods for Protein-DNA Binding Site Prediction
Zi Liu, Wang-Ren Qiu, Yan Liu, et al.
Analytical Biochemistry (2025), pp. 115862-115862
Closed Access
BTFBS: Binding Prediction of Bacterial Transcription Factors and Binding Sites Based on Deep Learning
Bingbing Jin, Song Liang, Xiaoqian Liu, et al.
Mathematics (2025) Vol. 13, Iss. 4, pp. 589-589
Open Access
A cost‐effective tsCUT&Tag method for profiling transcription factor binding landscape
Leiming Wu, Zi Wei Luo, Yanni Shi, et al.
Journal of Integrative Plant Biology (2022) Vol. 64, Iss. 11, pp. 2033-2038
Closed Access | Times Cited: 18
Towards a better understanding of TF-DNA binding prediction from genomic features
Zixuan Wang, Meiqin Gong, Yuhang Liu, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105993-105993
Closed Access | Times Cited: 17
DescribePROT in 2023: more, higher-quality and experimental annotations and improved data download options
Sushmita Basu, Bi Zhao, Bálint Biró, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D426-D433
Open Access | Times Cited: 5
Availability of web servers significantly boosts citations rates of bioinformatics methods for protein function and disorder prediction
Jiangning Song, Lukasz Kurgan
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 5
MERIT: Accurate prediction of multi ligand-binding residues with hybrid deep transformer network, evolutionary couplings and transfer learning
Jian Zhang, Sushmita Basu, Fuhao Zhang, et al.
Journal of Molecular Biology (2024), pp. 168872-168872
Closed Access | Times Cited: 1
qNABpredict: Quick, accurate, and taxonomy‐aware sequence‐based prediction of content of nucleic acid binding amino acids
Zhonghua Wu, Sushmita Basu, Xuantai Wu, et al.
Protein Science (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 5
Protein-DNA interface hotspots prediction based on fusion features of embeddings of protein language model and handcrafted features
Xiang Li, Gang-Ao Wang, Zhuoyu Wei, et al.
Computational Biology and Chemistry (2023) Vol. 107, pp. 107970-107970
Closed Access | Times Cited: 2
Prediction of Protein-Binding Sites in DNA Sequences
Kenta Nakai
Elsevier eBooks (2024)
Closed Access
DeepAptamer: Advancing High-Affinity Aptamer Discovery with a Hybrid Deep Learning Model
Xin Yang, Chi Ho Chan, Shanshan Yao, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 36, Iss. 1, pp. 102436-102436
Open Access
Advancing Protein-DNA Binding Site Prediction: Integrating Sequence Models and Machine Learning Classifiers
Taslim Murad, Sarwan Ali, Prakash Chourasia, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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