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:

iPro-WAEL: a comprehensive and robust framework for identifying promoters in multiple species
Pengyu Zhang, Hongming Zhang, Hao Wu
Nucleic Acids Research (2022) Vol. 50, Iss. 18, pp. 10278-10289
Open Access | Times Cited: 57

Showing 26-50 of 57 citing articles:

Intronomics-MIP: a snakemake pipeline for analyzing multilocus intron polymorphisms in species identification and population genomics
Annalisa Scapolatiello, Elisa Boscari, Leonardo de Lucca Schiavon, et al.
BMC Research Notes (2025) Vol. 18, Iss. 1
Open Access

iEnhancer-SKNN: a stacking ensemble learning-based method for enhancer identification and classification using sequence information
Hao Wu, Mengdi Liu, Pengyu Zhang, et al.
Briefings in Functional Genomics (2023) Vol. 22, Iss. 3, pp. 302-311
Open Access | Times Cited: 8

Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset
Rashid Khan, Chuda Xiao, Yang Liu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 439-454
Closed Access | Times Cited: 2

Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network
Qian Deng, Jing Zhang, Jie Liu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 3, pp. 649-664
Closed Access | Times Cited: 2

ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism
Yuchen Wang, Xianchun Kong, Xiao Bi, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 405-417
Closed Access | Times Cited: 2

Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification
Guolun Zhong, Hui Liu, Lei Deng
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 951-965
Closed Access | Times Cited: 2

Analyzing scRNA-seq data by CCP-assisted UMAP and tSNE
Yuta Hozumi, Guo‐Wei Wei
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0311791-e0311791
Open Access | Times Cited: 2

TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters
Yan Zhu, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 5

Be-1DCNN: a neural network model for chromatin loop prediction based on bagging ensemble learning
Hao Wu, Bing Zhou, Haoru Zhou, et al.
Briefings in Functional Genomics (2023) Vol. 22, Iss. 5, pp. 475-484
Closed Access | Times Cited: 4

SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding
Xuan Yu, Jun Hu, Ying Zhang
Computers in Biology and Medicine (2023) Vol. 166, pp. 107533-107533
Closed Access | Times Cited: 4

Scbean: a python library for single-cell multi-omics data analysis
Haohui Zhang, Yuwei Wang, Bin Lian, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 1

GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1

Benchmarking DNA Foundation Models for Genomic Sequence Classification
Haonan Feng, Lang Wu, Bingxin Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

IMI-driver: Integrating multi-level gene networks and multi-omics for cancer driver gene identification
Peiting Shi, Junmin Han, Yinghao Zhang, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 8, pp. e1012389-e1012389
Open Access | Times Cited: 1

Stratification of ovarian cancer patients from the prospect of drug target-related transcription factor protein activity: the prognostic and genomic landscape analyses
Dongqing Su, Haoxin Zhang, Yuqiang Xiong, et al.
Briefings in Functional Genomics (2023) Vol. 22, Iss. 4, pp. 351-365
Closed Access | Times Cited: 3

Integrated analysis of ovarian cancer patients from prospective transcription factor activity reveals subtypes of prognostic significance
Dongqing Su, Yuqiang Xiong, Haodong Wei, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16147-e16147
Open Access | Times Cited: 3

iEnhance: a multi-scale spatial projection encoding network for enhancing chromatin interaction data resolution
Kai Li, Ping Zhang, Zilin Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 3

A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study
Liang Xiao, Lijie Cao, Hao Chen, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 3

Predicting promoters in multiple prokaryotes with Prompt
Qimeng Du, Yixue Guo, Junpeng Zhang, et al.
Research Square (Research Square) (2024)
Open Access

DeepOCR: A multi-species deep-learning framework for accurate identification of open chromatin regions in livestock
Liangwei Zhao, Ran Hao, Ziyi Chai, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108077-108077
Open Access

AI-m6ARS: Machine learning-driven m6A RNA methylation site discovery with integrated sequence, conservation, and geographical descriptors
Korawich Uthayopas, Alex G. C. de Sá, David B. Ascher
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

GraphPro: An interpretable graph neural network-based model for identifying promoters in multiple species
Qi Zhang, Yuxiao Wei, Liwei Liu
Computers in Biology and Medicine (2024) Vol. 180, pp. 108974-108974
Closed Access

Predicting Promoters in Multiple Prokaryotes with Prompt
Qimeng Du, Yixue Guo, Junpeng Zhang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 4, pp. 814-828
Closed Access

DGSIST: Clustering spatial transcriptome data based on deep graph structure Infomax
Yu-Han Xiu, Si-Lin Sun, Bingwei Zhou, et al.
Methods (2024)
Closed Access

MFPSP: Identification of fungal species-specific phosphorylation site using offspring competition-based genetic algorithm
Chao Wang, Quan Zou
PLoS Computational Biology (2024) Vol. 20, Iss. 11, pp. e1012607-e1012607
Open Access

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