Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters
Wei Su, Menglu Liu, Yuhe R. Yang, et al.
Journal of Molecular Biology (2021) Vol. 433, Iss. 11, pp. 166860-166860
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Accurately identifying hemagglutinin using sequence information and machine learning methods
Xidan Zou, Liping Ren, Peiling Cai, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 73
A First Computational Frame for Recognizing Heparin-Binding Protein
Wen Zhu, Shi-Shi Yuan, Jian Li, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2465-2465
Open Access | Times Cited: 70
QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking
Hao Ding, Fei Xing, Lin Zou, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 10
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli
Hasan Zulfiqar, Zi‐Jie Sun, Qin-Lai Huang, et al.
Methods (2021) Vol. 203, pp. 558-563
Closed Access | Times Cited: 54
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 4123-4131
Open Access | Times Cited: 51
Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique
Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 3, pp. 1251-1251
Open Access | Times Cited: 31
ProkBERT family: genomic language models for microbiome applications
Balázs Ligeti, István Szepesi-Nagy, Babett Bodnár, et al.
Frontiers in Microbiology (2024) Vol. 14
Open Access | Times Cited: 8
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
Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform
Farman Ali, Wajdi Alghamdi, Alaa Omran Almagrabi, et al.
International Journal of Biological Macromolecules (2023) Vol. 243, pp. 125296-125296
Closed Access | Times Cited: 16
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
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
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 11
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
Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters
Marcelo González, Roberto E. Durán, Michael Seeger, et al.
Bioinformatics (2025) Vol. 41, Iss. 4
Open Access
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Species-specific design of artificial promoters by transfer-learning based generative deep-learning model
Yan Xia, Xiaowen Du, Bin Liu, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 11, pp. 6145-6157
Open Access | Times Cited: 3
KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
Yuran Jia, Shan Huang, Tianjiao Zhang
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 19
iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network
Jeehong Kim, Muhammad Shujaat, Hilal Tayara
Genomics (2022) Vol. 114, Iss. 3, pp. 110384-110384
Open Access | Times Cited: 13
Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique
Hasan Zulfiqar, Zahoor Ahmed, Bakanina Kissanga Grace-Mercure, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 7
Identity preserving multi-pose facial expression recognition using fine tuned VGG on the latent space vector of generative adversarial network
R. Abirami, P. M. Durai Raj Vincent
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 4, pp. 3699-3717
Open Access | Times Cited: 16
CDBProm: the Comprehensive Directory of Bacterial Promoters
Gustavo Sganzerla Martinez, Ernesto Pérez‐Rueda, Anuj Kumar, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
The prediction of Recombination Hotspot Based on Automated Machine Learning
Dong-Xin Ye, Jun-Wen Yu, Rui Li, et al.
Journal of Molecular Biology (2024), pp. 168653-168653
Closed Access | Times Cited: 2
PPred-PCKSM: A multi-layer predictor for identifying promoter and its variants using position based features
Raju Bhukya, Archana Kumari, Santhosh Amilpur, et al.
Computational Biology and Chemistry (2022) Vol. 97, pp. 107623-107623
Closed Access | Times Cited: 8
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism
Rao Zeng, Song Cheng, Minghong Liao
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10
GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome
Jianhua Cai, Guobao Xiao, Ran Su
Methods (2022) Vol. 204, pp. 14-21
Closed Access | Times Cited: 7
Page 1 - Next Page

Scroll to top