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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:

Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble Classifier
Xiaotong Guo, Fulin Liu, Ying Ju, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105151-105151
Open Access | Times Cited: 1272
Cytoplasmic functions of long noncoding RNAs
Ji Heon Noh, Kyoung Mi Kim, Waverly G. McClusky, et al.
Wiley Interdisciplinary Reviews - RNA (2018) Vol. 9, Iss. 3
Open Access | Times Cited: 378
Machine learning techniques for protein function prediction
Rosalin Bonetta, Gianluca Valentino
Proteins Structure Function and Bioinformatics (2019) Vol. 88, Iss. 3, pp. 397-413
Closed Access | Times Cited: 134
Genome-wide identification of the Sec14 gene family and the response to salt and drought stress in soybean (Glycine max)
Jinyu Zhang, Liying Zou, Li Wang, et al.
BMC Genomics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC
Faisal Javed, Maqsood Hayat
Genomics (2018) Vol. 111, Iss. 6, pp. 1325-1332
Closed Access | Times Cited: 77
Big Data in Drug Discovery
Nathan Brown, Jean Cambruzzi, Peter J. Cox, et al.
Progress in medicinal chemistry (2018), pp. 277-356
Closed Access | Times Cited: 60
Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review
Dilan Lasantha, Sugandima Vidanagamachchi, Sam Nallaperuma
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106352-106352
Closed Access | Times Cited: 20
Protein subcellular localization prediction using multiple kernel learning based support vector machine
Md. Al Mehedi Hasan, Shamim Ahmad, Md. Khademul Islam Molla
Molecular BioSystems (2017) Vol. 13, Iss. 4, pp. 785-795
Closed Access | Times Cited: 46
A Review for Artificial-Intelligence-Based Protein Subcellular Localization
Hanyu Xiao, Yijin Zou, Jieqiong Wang, et al.
Biomolecules (2024) Vol. 14, Iss. 4, pp. 409-409
Open Access | Times Cited: 4
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer
Zhen‐Zhen Xue, Yanxia Wu, Qingzu Gao, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 28
Semi-supervised Predictive Clustering Trees for Multi-label Protein Subcellular Localization
L. Alcántara, Isaac Triguero, Ricardo Cerri
Lecture notes in computer science (2025), pp. 384-399
Closed Access
Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine
Qilin Xiang, Bo Liao, Xianhong Li, et al.
Artificial Intelligence in Medicine (2017) Vol. 78, pp. 41-46
Closed Access | Times Cited: 30
Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine
Ravindra Kumar, Bandana Kumari, Manish Kumar
PeerJ (2017) Vol. 5, pp. e3561-e3561
Open Access | Times Cited: 29
BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs
Pranab Das, Yogita Thakran, S. R. Ngamwal Anal, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1761-1773
Closed Access | Times Cited: 16
Prediction of Chronic Diseases With Multi-Label Neural Network
Ruiquan Ge, Renfeng Zhang, Pu Wang
IEEE Access (2020) Vol. 8, pp. 138210-138216
Open Access | Times Cited: 22
Global multi-output decision trees for interaction prediction
Konstantinos Pliakos, Pierre Geurts, Celine Vens
Machine Learning (2018) Vol. 107, Iss. 8-10, pp. 1257-1281
Open Access | Times Cited: 23
Ensemble of classifier chains and decision templates for multi-label classification
Victor F. Rocha, Flávio Miguel Varejão, Marcelo E. V. Segatto
Knowledge and Information Systems (2022) Vol. 64, Iss. 3, pp. 643-663
Closed Access | Times Cited: 11
PScL-DDCFPred: an ensemble deep learning-based approach for characterizing multiclass subcellular localization of human proteins from bioimage data
Matee Ullah, Fazal Hadi, Jiangning Song, et al.
Bioinformatics (2022) Vol. 38, Iss. 16, pp. 4019-4026
Open Access | Times Cited: 11
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning
Tao Bai, Bin Liu
Briefings in Functional Genomics (2023) Vol. 22, Iss. 5, pp. 442-452
Closed Access | Times Cited: 6
iMulti-HumPhos: a multi-label classifier for identifying human phosphorylated proteins using multiple kernel learning based support vector machines
Md. Al Mehedi Hasan, Shamim Ahmad, Md. Khademul Islam Molla
Molecular BioSystems (2017) Vol. 13, Iss. 8, pp. 1608-1618
Closed Access | Times Cited: 16
PSIONplusm Server for Accurate Multi-Label Prediction of Ion Channels and Their Types
Jianzhao Gao, Hong Wei, Alberto Cano, et al.
Biomolecules (2020) Vol. 10, Iss. 6, pp. 876-876
Open Access | Times Cited: 14
Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks
Ge Wang, Min-Qi Xue, Hong‐Bin Shen, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 11
Predicting human protein subcellular localization by heterogeneous and comprehensive approaches
Chi‐Hua Tung, Chi-Wei Chen, Han-Hao Sun, et al.
PLoS ONE (2017) Vol. 12, Iss. 6, pp. e0178832-e0178832
Open Access | Times Cited: 11
A fundamental overview of ensemble deep learning models and applications: systematic literature and state of the art
Tawseef Ayoub Shaikh, Tabasum Rasool, Prabal Verma, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 1
Machine and Deep Learning for Prediction of Subcellular Localization
Gaofeng Pan, Chao Sun, Zijun Liao, et al.
Methods in molecular biology (2021), pp. 249-261
Closed Access | Times Cited: 9
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