Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Multitask learning for host–pathogen protein interactions
Meghana Kshirsagar, Jaime Carbonell, Judith Klein‐Seetharaman
Bioinformatics (2013) Vol. 29, Iss. 13, pp. i217-i226
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

A Survey on Multi-Task Learning
Yu Zhang, Qiang Yang
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 34, Iss. 12, pp. 5586-5609
Open Access | Times Cited: 1369
Inductive matrix completion for predicting gene–disease associations
Nagarajan Natarajan, Inderjit S. Dhillon
Bioinformatics (2014) Vol. 30, Iss. 12, pp. i60-i68
Open Access | Times Cited: 315
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization
Dixian Zhu, Changjie Cai, Tianbao Yang, et al.
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 1, pp. 5-5
Open Access | Times Cited: 157
Computational approaches for prediction of pathogen-host protein-protein interactions
Esmaeil Nourani, Farshad Khunjush, Saliha DurmuÅŸ
Frontiers in Microbiology (2015) Vol. 6
Open Access | Times Cited: 113
Application and Perspectives of MALDI–TOF Mass Spectrometry in Clinical Microbiology Laboratories
Eva Torres-Sangiao, Cristina Leal Rodríguez, Carlos García-Riestra
Microorganisms (2021) Vol. 9, Iss. 7, pp. 1539-1539
Open Access | Times Cited: 91
A review on host–pathogen interactions: classification and prediction
Rishika Sen, Losiana Nayak, Rajat K. De
European Journal of Clinical Microbiology & Infectious Diseases (2016) Vol. 35, Iss. 10, pp. 1581-1599
Closed Access | Times Cited: 74
Convergence rate analysis of proximal gradient methods with applications to composite minimization problems
D. R. Sahu, Jen‐Chih Yao, Mridula Verma, et al.
Optimization (2020) Vol. 70, Iss. 1, pp. 75-100
Closed Access | Times Cited: 67
Critical assessment and performance improvement of plant–pathogen protein–protein interaction prediction methods
Shiping Yang, Hong Li, Huaqin He, et al.
Briefings in Bioinformatics (2017) Vol. 20, Iss. 1, pp. 274-287
Closed Access | Times Cited: 63
Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
Huaming Chen, Fuyi Li, Lei Wang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Open Access | Times Cited: 56
Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions
Padhmanand Sudhakar, Kathleen Machiels, Bram Verstockt, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 46
Comparative interactomics for virus–human protein–protein interactions: DNA viruses versus RNA viruses
Saliha Durmuş, Kutlu Ö. Ülgen
FEBS Open Bio (2016) Vol. 7, Iss. 1, pp. 96-107
Open Access | Times Cited: 51
Machine-Learning-Based Predictor of Human–Bacteria Protein–Protein Interactions by Incorporating Comprehensive Host-Network Properties
Xianyi Lian, Shiping Yang, Hong Li, et al.
Journal of Proteome Research (2019) Vol. 18, Iss. 5, pp. 2195-2205
Closed Access | Times Cited: 49
Host-microbiome protein-protein interactions capture disease-relevant pathways
Hao Zhou, Juan Felipe Beltrán, Ilana Brito
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 24
Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases
Rui-Si Hu, Abd El‐Latif Hesham, Quan Zou
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 23
Using biological networks to improve our understanding of infectious diseases
Nicola Mulder, Richard O Akinola, Gaston K. Mazandu, et al.
Computational and Structural Biotechnology Journal (2014) Vol. 11, Iss. 18, pp. 1-10
Open Access | Times Cited: 49
Analysis of protein targets in pathogen–host interaction in infectious diseases: a case study on Plasmodium falciparum and Homo sapiens interaction network
Sovan Saha, Kaustav Sengupta, Piyali Chatterjee, et al.
Briefings in Functional Genomics (2017)
Closed Access | Times Cited: 42
Neural multi-task learning for end-to-end Arabic aspect-based sentiment analysis
Rajae Bensoltane, Taher Zaki
Computer Speech & Language (2024) Vol. 89, pp. 101683-101683
Closed Access | Times Cited: 4
Machine Learning-based Host–Pathogen Protein–Protein Interaction Prediction
Erdem Türk, Onur Can Karabulut, Al-shaima Khaled Abdullah Al-alie, et al.
Current Clinical Microbiology Reports (2025) Vol. 12, Iss. 1
Closed Access
Comparative analysis of machine learning algorithms for air quality index prediction
Tanay M. Desai, Samit Kapadia, Mahir Halani, et al.
Machine learning for computational science and engineering (2025) Vol. 1, Iss. 1
Closed Access
Predicting host-pathogen interactions with machine learning algorithms: A scoping review
Rasool Sahragard, Masoud Arabfard, Ali Najafi
Infection Genetics and Evolution (2025) Vol. 130, pp. 105751-105751
Open Access
AdaBoost Based Multi-Instance Transfer Learning for Predicting Proteome-Wide Interactions between Salmonella and Human Proteins
Suyu Mei, Hao Zhu
PLoS ONE (2014) Vol. 9, Iss. 10, pp. e110488-e110488
Open Access | Times Cited: 38
Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches
Nantao Zheng, Kairou Wang, Weihua Zhan, et al.
Current Drug Metabolism (2018) Vol. 20, Iss. 3, pp. 177-184
Closed Access | Times Cited: 36
Adaptive Smoothed Online Multi-Task Learning
Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell, et al.
Neural Information Processing Systems (2016) Vol. 29, pp. 4296-4304
Closed Access | Times Cited: 35
Prediction of human-Bacillus anthracis protein–protein interactions using multi-layer neural network
Ahmed Ibrahim, Peter J. Witbooi, Alan Christoffels
Bioinformatics (2018) Vol. 34, Iss. 24, pp. 4159-4164
Open Access | Times Cited: 35
Identification of infectious disease-associated host genes using machine learning techniques
Ranjan Kumar Barman, Anirban Mukhopadhyay, Ujjwal Maulik, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 34
Page 1 - Next Page

Scroll to top