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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:

XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
Rahu Sikander, Ali Ghulam, Farman Ali
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 60

Showing 26-50 of 60 citing articles:

pNPs-CapsNet: Predicting Neuropeptides Using Protein Language Models and FastText Encoding-Based Weighted Multi-View Feature Integration with Deep Capsule Neural Network
Shahid Akbar, Ali Raza, Hamid Hussain Awan, et al.
ACS Omega (2025)
Open Access
iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile
Ameen Banjar, Farman Ali, Omar Alghushairy, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104697-104697
Closed Access | Times Cited: 21
Autoencoder-based drug-virus association prediction with reliable negative sample selection: A case study with COVID-19
Ajithadas Aruna, K. R. Remesh Babu, K. Deepthi
Biophysical Chemistry (2025) Vol. 322, pp. 107434-107434
Closed Access
DrugPred: An ensemble learning model based on ESM2 for predicting potential druggable proteins
Hongqi Zhang, Shanghua Liu, Jun-Wen Yu, et al.
Future Generation Computer Systems (2025), pp. 107801-107801
Closed Access
Comprehensive Research on Druggable Proteins: From PSSM to Pre-Trained Language Models
Hongkang Chu, Taigang Liu
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 8, pp. 4507-4507
Open Access | Times Cited: 3
An omics-driven computational model for angiogenic protein prediction: Advancing therapeutic strategies with Ens-deep-AGP
Naif Almusallam, Farman Ali, Atef Masmoudi, et al.
International Journal of Biological Macromolecules (2024), pp. 136475-136475
Closed Access | Times Cited: 3
A bi-layer model for identification of piwiRNA using deep neural learning
Adnan Adnan, Hongya Wang, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 11, pp. 5725-5733
Closed Access | Times Cited: 8
VirusHound-I: prediction of viral proteins involved in the evasion of host adaptive immune response using the random forest algorithm and generative adversarial network for data augmentation
Jorge F. Beltrán, Lisandra Herrera Belén, Jorge G. Farías, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 8
Statistical and Artificial Intelligence-based Tools for Building Energy Prediction: A Systematic Literature Review
Razak Olu-Ajayi, Hafiz Alaka, Funlade Sunmola, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 14733-14753
Closed Access | Times Cited: 2
Research on Bitter Peptides in the Field of Bioinformatics: A Comprehensive Review
Shanghua Liu, Tianyu Shi, Junwen Yu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9844-9844
Open Access | Times Cited: 2
Multi-headed Ensemble Residual CNN: A Powerful Tool for Fibroblast Growth Factor Prediction
Naif Almusallam, Farman Ali, Harish Kumar, et al.
Results in Engineering (2024) Vol. 24, pp. 103348-103348
Open Access | Times Cited: 2
Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy
Sonia Zouari, Farman Ali, Atef Masmoudi, et al.
IET Systems Biology (2024)
Open Access | Times Cited: 2
In silico protein function prediction: the rise of machine learning-based approaches
Jiaxiao Chen, Zhonghui Gu, Luhua Lai, et al.
Medical Review (2023) Vol. 3, Iss. 6, pp. 487-510
Open Access | Times Cited: 6
Lupus nephritis or not? A simple and clinically friendly machine learning pipeline to help diagnosis of lupus nephritis
Dacheng Wang, Wang‐Dong Xu, Shennan Wang, et al.
Inflammation Research (2023) Vol. 72, Iss. 6, pp. 1315-1324
Open Access | Times Cited: 5
PINNED: identifying characteristics of druggable human proteins using an interpretable neural network
Michael Cunningham, Danielle Pins, Zoltán Dezső, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Prediction model of ocular metastasis from primary liver cancer: Machine learning‐based development and interpretation study
Jin‐Qi Sun, Shi‐Nan Wu, Zheng‐Lin Mou, et al.
Cancer Medicine (2023) Vol. 12, Iss. 20, pp. 20482-20496
Open Access | Times Cited: 5
Recognition of liver tumors by predicted hyperspectral features based on patient's computed tomography radiomics features
Xuehu Wang, Tianqi Wang, Yongchang Zheng, et al.
Photodiagnosis and Photodynamic Therapy (2023) Vol. 42, pp. 103638-103638
Closed Access | Times Cited: 4
Unveiling the nexus between atmospheric visibility, remotely sensed pollutants, and climatic variables across diverse topographies: A data-driven exploration empowered by artificial intelligence
Sadaf Javed, Muhammad Imran Shahzad, Imran Shahid
Atmospheric Pollution Research (2024) Vol. 15, Iss. 9, pp. 102200-102200
Closed Access | Times Cited: 1
Molecular Docking: State-of-the-Art Scoring Functions and Search Algorithms
Rafaela Molina de Angelo, Daniel S. de Sousa, Aldineia P. da Silva, et al.
(2024), pp. 163-198
Closed Access | Times Cited: 1
Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method
Mohammad Saber Iraji, Jafar Tanha, Mahboobeh Habibinejad
Computers in Biology and Medicine (2022) Vol. 151, pp. 106276-106276
Closed Access | Times Cited: 7
Advances in computational frameworks in the fight against TB: The way forward
Akshayata Naidu, Smruti Sudha Nayak, Sajitha Lulu, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 3
DrugFinder: Druggable Protein Identification Model Based on Pre-Trained Models and Evolutionary Information
Mu Zhang, Fengqiang Wan, Taigang Liu
Algorithms (2023) Vol. 16, Iss. 6, pp. 263-263
Open Access | Times Cited: 3
Empirical comparison and analysis of machine learning-based approaches for druggable protein identification.
Watshara Shoombuatong, Nalini Schaduangrat, Jaru Nikom
PubMed (2023) Vol. 22, pp. 915-927
Closed Access | Times Cited: 2
HormoNet: a deep learning approach for hormone-drug interaction prediction
Neda Emami, Reza Ferdousi
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
DrugProtAI: A guide to the future research of investigational target proteins
Ankit Halder, Sabyasachi Samantaray, Sahil Barbade, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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