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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:

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC
Yinan Shen, Jijun Tang, Fei Guo
Journal of Theoretical Biology (2018) Vol. 462, pp. 230-239
Closed Access | Times Cited: 153

Showing 1-25 of 153 citing articles:

Anticancer peptides prediction with deep representation learning features
Zhibin Lv, Feifei Cui, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 119
iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, Quang‐Thai Ho, et al.
Analytical Biochemistry (2019) Vol. 571, pp. 53-61
Closed Access | Times Cited: 141
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt Independence Criterion
Hao Wang, Yijie Ding, Jijun Tang, et al.
Neurocomputing (2019) Vol. 383, pp. 257-269
Closed Access | Times Cited: 116
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides
Jiawei Li, Yuqian Pu, Jijun Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 10, pp. 3012-3019
Closed Access | Times Cited: 102
Progresses in Predicting Post-translational Modification
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 873-888
Closed Access | Times Cited: 82
RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites
Zhibin Lv, Jun Zhang, Hui Ding, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 81
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Min Zeng, Yifan Wu, Chengqian Lu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach
Mengting Niu, Quan Zou, Chen Lin
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009798-e1009798
Open Access | Times Cited: 46
pACPs-DNN: Predicting Anticancer peptides using Novel Peptide Transformation into Evolutionary and Structure Matrix-based Images with Self-attention Deep Learning Model
Muhammad Khalil Shahid, Maqsood Hayat, Ali Raza, et al.
Computational Biology and Chemistry (2025), pp. 108441-108441
Closed Access | Times Cited: 1
Critical evaluation of web-based prediction tools for human protein subcellular localization
Yinan Shen, Yijie Ding, Jijun Tang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1628-1640
Closed Access | Times Cited: 70
Machine learning and its applications in plant molecular studies
Shanwen Sun, Chunyu Wang, Hui Ding, et al.
Briefings in Functional Genomics (2019) Vol. 19, Iss. 1, pp. 40-48
Closed Access | Times Cited: 67
Prediction of antioxidant proteins using hybrid feature representation method and random forest
Chunyan Ao, Wenyang Zhou, Lin Gao, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4666-4674
Closed Access | Times Cited: 63
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning
Feifei Cui, Zilong Zhang, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 61-73
Closed Access | Times Cited: 62
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation
Yijie Ding, Jijun Tang, Fei Guo
Applied Soft Computing (2020) Vol. 96, pp. 106596-106596
Closed Access | Times Cited: 61
A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome
Zhibin Lv, Hui Ding, Lei Wang, et al.
Neurocomputing (2020) Vol. 422, pp. 214-221
Closed Access | Times Cited: 61
A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD
Zhiyu Tao, Yanjuan Li, Zhixia Teng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 57
ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm
Yanjuan Li, Mengting Niu, Quan Zou
Journal of Proteome Research (2019) Vol. 18, Iss. 3, pp. 1392-1401
Closed Access | Times Cited: 55
Identification of sub-Golgi protein localization by use of deep representation learning features
Zhibin Lv, Pingping Wang, Quan Zou, et al.
Bioinformatics (2020) Vol. 36, Iss. 24, pp. 5600-5609
Open Access | Times Cited: 55
Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology
Zhibin Lv, Donghua Wang, Hui Ding, et al.
IEEE Access (2020) Vol. 8, pp. 14851-14859
Open Access | Times Cited: 53
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides
Jinhao Zhang, Zehua Zhang, Lianrong Pu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 18, Iss. 5, pp. 1831-1840
Closed Access | Times Cited: 53
Critical downstream analysis steps for single-cell RNA sequencing data
Zilong Zhang, Feifei Cui, Chen Lin, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 49
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46
Identify RNA-associated subcellular localizations based on multi-label learning using Chou’s 5-steps rule
Hao Wang, Yijie Ding, Jijun Tang, et al.
BMC Genomics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 45
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zifan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 41
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