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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:

Base-resolution prediction of transcription factor binding signals by a deep learning framework
Qinhu Zhang, Ying He, Siguo Wang, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1009941-e1009941
Open Access | Times Cited: 22

Showing 22 citing articles:

Predicting Transcription Factor Binding Signals Based on a Novel Encoder-Decoder Framework
Siguo Wang, Zhipeng Li, Qinhu Zhang
Communications in computer and information science (2025), pp. 130-140
Closed Access
Prediction of Back-splicing sites for CircRNA formation based on convolutional neural networks
Zhen Shen, Yan Shao, Wei Liu, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Computational prediction and characterization of cell-type-specific and shared binding sites
Qinhu Zhang, Pengrui Teng, Siguo Wang, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 12
Cross‐Species Prediction of Transcription Factor Binding by Adversarial Training of a Novel Nucleotide‐Level Deep Neural Network
Qinhu Zhang, Siguo Wang, Zhipeng Li, et al.
Advanced Science (2024)
Open Access | Times Cited: 2
HEAP: a task adaptive-based explainable deep learning framework for enhancer activity prediction
Yuhang Liu, Zixuan Wang, Hao Yuan, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 6
Cross-species prediction of transcription factor binding by adversarial training of a novel nucleotide-level deep neural network
Qinhu Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Comparative analysis of models in predicting the effects of SNPs on TF-DNA binding using large-scale in vitro and in vivo data
Dongmei Han, Yurun Li, Linxiao Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 1
MulTFBS: A Spatial-Temporal Network with Multichannels for Predicting Transcription Factor Binding Sites
Jujuan Zhuang, Xinru Huang, Shuhan Liu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4322-4333
Closed Access | Times Cited: 1
Comprehensive analysis of computational approaches in plant transcription factors binding regions discovery
Jyoti, Ritu Ritu, Sagar Gupta, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e39140-e39140
Open Access | Times Cited: 1
Identifying transcription factors with cell-type specific DNA binding signatures
Aseel Awdeh, Marcel Turcotte, Theodore J. Perkins
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes
Siguo Wang, Qinhu Zhang, Ying He, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 10, pp. e1010572-e1010572
Open Access | Times Cited: 6
Interpretable single-cell transcription factor prediction based on deep learning with attention mechanism
Meiqin Gong, Yuchen He, Maocheng Wang, et al.
Computational Biology and Chemistry (2023) Vol. 106, pp. 107923-107923
Closed Access | Times Cited: 3
Comprehensive evaluation of plant transcription factors binding sites discovery tools
Jyoti, Ritu Ritu, Sagar Gupta, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Gene-language models are whole genome representation learners
Bryan Naidenov, Charles Chen
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
MMF-ATAC: A User-friendly Web Server for Multiple Motifs Finding on ATAC-seq Data
Yan Wang, Xiaotian Wu, Haoming Da, et al.
(2024), pp. 275-279
Closed Access
Predicting bacterial transcription factor binding sites through machine learning and structural characterization based on DNA duplex stability
André Borges Farias, Gustavo Sganzerla Martinez, Edgardo Galán-Vásquez, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure
Pengju Ding, Jianxin Wang, Shiyue He, et al.
Pattern Recognition (2024), pp. 111279-111279
Closed Access
GNet: An integrated context-aware neural framework for transcription factor binding signal at single nucleotide resolution prediction
Jujuan Zhuang, Kexin Feng, Xinyang Teng, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 9, pp. 15809-15829
Open Access | Times Cited: 1
DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction
Yuhang Liu, Zixuan Wang, Jiaheng Lv, et al.
Lecture notes in computer science (2023), pp. 188-199
Closed Access | Times Cited: 1
LangMoDHS: A deep learning language model for predicting DNase I hypersensitive sites in mouse genome
Xingyu Tang, Peijie Zheng, Yuewu Liu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 1037-1057
Open Access | Times Cited: 1
Computational prediction and characterization of cell-type-specific and shared binding sites
Qinhu Zhang
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning
Yongqing Zhang, Yuhang Liu, Zixuan Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 680-685
Closed Access
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