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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:

PlDBPred: a novel computational model for discovery of DNA binding proteins in plants
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 17

Showing 17 citing articles:

Improved prediction of DNA and RNA binding proteins with deep learning models
Siwen Wu, Jun‐tao Guo
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
MolEpidPred: a novel computational tool for the molecular epidemiology of foot-and-mouth disease virus using VP1 nucleotide sequence data
Samarendra Das, Utkalini Nayak, Susanket Pal, et al.
Briefings in Functional Genomics (2025) Vol. 24
Open Access
ASmiR: a machine learning framework for prediction of abiotic stress–specific miRNAs in plants
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Functional & Integrative Genomics (2023) Vol. 23, Iss. 2
Closed Access | Times Cited: 12
ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Functional & Integrative Genomics (2023) Vol. 23, Iss. 2
Closed Access | Times Cited: 8
RBProkCNN: Deep learning on appropriate contextual evolutionary information for RNA binding protein discovery in prokaryotes
Upendra Kumar Pradhan, Sanchita Naha, Ritwika Das, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1631-1640
Open Access | Times Cited: 2
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 2
DBPMod: a supervised learning model for computational recognition of DNA-binding proteins in model organisms
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 4, pp. 363-372
Closed Access | Times Cited: 4
ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms
Upendra Kumar Pradhan, Anuradha Mahapatra, Sanchita Naha, et al.
Biochimica et Biophysica Acta (BBA) - General Subjects (2024) Vol. 1868, Iss. 6, pp. 130597-130597
Closed Access | Times Cited: 1
Essential genes identification model based on sequence feature map and graph convolutional neural network
Wenxing Hu, Mengshan Li, Haiyang Xiao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
AScirRNA: A novel computational approach to discover abiotic stress-responsive circular RNAs in plant genomes
Upendra Kumar Pradhan, Prasanjit Behera, Ritwika Das, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108205-108205
Closed Access
PredPSP: a novel computational tool to discover pathway-specific photosynthetic proteins in plants
Prabina Kumar Meher, Upendra Kumar Pradhan, Padma Lochan Sethi, et al.
Plant Molecular Biology (2024) Vol. 114, Iss. 5
Closed Access
A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond
Pengzhen Jia, Fuhao Zhang, Chaojin Wu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access
Machine Learning for the Discovery of DNA‐binding Proteins in Plants
Upendra Kumar Pradhan, Prabina Kumar Meher, P. K. Gupta
(2024), pp. 299-319
Closed Access
pLM-DBPs: Enhanced DNA-Binding Protein Prediction in Plants Using Embeddings From Protein Language Models
Suresh Pokharel, Kepha Barasa, Pawel Pratyush, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ANPS: machine learning based server for identification of anti-nutritional proteins in plants
Sanchita Naha, Sarvjeet Kaur, Ramcharan Bhattacharya, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 6
Closed Access
Accurate prediction of nucleic acid binding proteins using protein language model
Siwen Wu, Jinbo Xu, Jun‐tao Guo
Bioinformatics Advances (2024) Vol. 5, Iss. 1
Open Access
Essential Genes Identification Model Based on Sequence Feature Map and Graph Convolutional Neural Network
Wenxing Hu, Haiyang Xiao, Lixin Guan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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