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: 51

Showing 1-25 of 51 citing articles:

SEdb 2.0: a comprehensive super-enhancer database of human and mouse
Yuezhu Wang, Chao Song, Jun Zhao, et al.
Nucleic Acids Research (2022) Vol. 51, Iss. D1, pp. D280-D290
Open Access | Times Cited: 66

IChrom-Deep: An Attention-Based Deep Learning Model for Identifying Chromatin Interactions
Pengyu Zhang, Hao Wu
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4559-4568
Closed Access | Times Cited: 27

STGNNks: Identifying cell types in spatial transcriptomics data based on graph neural network, denoising auto-encoder, and k-sums clustering
Lihong Peng, Xianzhi He, Xinhuai Peng, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107440-107440
Closed Access | Times Cited: 26

LGCDA: Predicting CircRNA-Disease Association Based on Fusion of Local and Global Features
Wei Lan, Chunling Li, Qingfeng Chen, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 5, pp. 1413-1422
Closed Access | Times Cited: 11

Enhancer-MDLF: a novel deep learning framework for identifying cell-specific enhancers
Yao Zhang, Pengyu Zhang, Hao Wu
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 6

lncLocator-imb: An Imbalance-Tolerant Ensemble Deep Learning Framework for Predicting Long Non-Coding RNA Subcellular Localization
Haibin Liu, Dianguo Li, Hao Wu
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 538-547
Closed Access | Times Cited: 14

Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access

ACP‐DPE: A Dual‐Channel Deep Learning Model for Anticancer Peptide Prediction
Guohua Huang, Yujie Cao, Qi Dai, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access

scGRN: a comprehensive single-cell gene regulatory network platform of human and mouse
Xuemei Huang, Chao Song, Guorui Zhang, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D293-D303
Open Access | Times Cited: 12

A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data
Yuwei Wang, Bin Lian, Haohui Zhang, et al.
Bioinformatics (2023) Vol. 39, Iss. 1
Open Access | Times Cited: 9

MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI
Subhojit Paul, Kaushika Olymon, Gustavo Sganzerla Martinez, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2705-2719
Closed Access | Times Cited: 3

CTPredictor: A comprehensive and robust framework for predicting cell types by integrating multi-scale features from single-cell Hi-C data
Zhenqi Shi, Hao Wu
Computers in Biology and Medicine (2024) Vol. 173, pp. 108336-108336
Closed Access | Times Cited: 3

scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information
Yingfu Wu, Zhenqi Shi, Xiangfei Zhou, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3

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

Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network
Lihong Peng, Liangliang Huang, Geng Tian, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 8

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

Long extrachromosomal circular DNA identification by fusing sequence-derived features of physicochemical properties and nucleotide distribution patterns
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Recognition of cyanobacteria promoters via Siamese network-based contrastive learning under novel non-promoter generation
Guang Yang, Jianing Li, Jinlu Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open 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

HHGNN: Hyperbolic Hypergraph Convolutional Neural Network based on variational autoencoder
Zhangyu Mei, Xiao Bi, Yating Wen, et al.
Neurocomputing (2024) Vol. 601, pp. 128225-128225
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

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

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