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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:

TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning
Jun Hu, Xiaogen Zhou, Yiheng Zhu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 17, Iss. 4, pp. 1419-1429
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

iStable 2.0: Predicting protein thermal stability changes by integrating various characteristic modules
Chi-Wei Chen, Meng‐Han Lin, Chi‐Chou Liao, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 622-630
Open Access | Times Cited: 99
DBP-CNN: Deep learning-based prediction of DNA-binding proteins by coupling discrete cosine transform with two-dimensional convolutional neural network
Omar Barukab, Farman Ali, Wajdi Alghamdi, et al.
Expert Systems with Applications (2022) Vol. 197, pp. 116729-116729
Closed Access | Times Cited: 42
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Shahid Akbar, Heba G. Mohamed, Hashim Ali, et al.
IEEE Access (2023) Vol. 11, pp. 49024-49034
Open Access | Times Cited: 30
TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree
Muhammad Arif, Saeed Ahmad, Farman Ali, et al.
Journal of Computer-Aided Molecular Design (2020) Vol. 34, Iss. 8, pp. 841-856
Closed Access | Times Cited: 67
DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines
Yiheng Zhu, Jun Hu, Xiaoning Song, et al.
Journal of Chemical Information and Modeling (2019) Vol. 59, Iss. 6, pp. 3057-3071
Closed Access | Times Cited: 66
StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach
Muhammad Arif, Saeed Ahmed, Fang Ge, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 220, pp. 104458-104458
Closed Access | Times Cited: 52
StackPDB: Predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
Qingmei Zhang, Peishun Liu, Xue Wang, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106921-106921
Open Access | Times Cited: 51
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm
Jun Hu, Wenwu Zeng, Ning-Xin Jia, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 1044-1057
Closed Access | Times Cited: 16
IP-GCN: A Deep Learning Model for Prediction of Insulin using Graph Convolutional Network for Diabetes Drug Design
Farman Ali, Majdi Khalid, Abdullah Almuhaimeed, et al.
Journal of Computational Science (2024) Vol. 81, pp. 102388-102388
Closed Access | Times Cited: 7
LBi-DBP, an accurate DNA-binding protein prediction method based lightweight interpretable BiLSTM network
Wenwu Zeng, Xuan Yu, Jiandong Shang, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123525-123525
Closed Access | Times Cited: 5
SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM
Farman Ali, Muhammad Arif, Zaheer Ullah Khan, et al.
Analytical Biochemistry (2019) Vol. 589, pp. 113494-113494
Closed Access | Times Cited: 43
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection
Matee Ullah, Ke Han, Fazal Hadi, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 32
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning
Farman Ali, Harish Kumar, Shruti Patil, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 229, pp. 104639-104639
Closed Access | Times Cited: 27
DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform
Farman Ali, Omar Barukab, Ajay B. Gadicha, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 23
HybridDBRpred: improved sequence-based prediction of DNA-binding amino acids using annotations from structured complexes and disordered proteins
Jian Zhang, Sushmita Basu, Lukasz Kurgan
Nucleic Acids Research (2023) Vol. 52, Iss. 2, pp. e10-e10
Open Access | Times Cited: 14
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
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation
Yijie Ding, Jijun Tang, Fei Guo
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 5, pp. 1986-1995
Closed Access | Times Cited: 42
DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies
Muhammad Arif, Muhammad Kabir, Saeed Ahmed, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2749-2759
Closed Access | Times Cited: 29
Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier
Qi Zhang, Yandan Zhang, Shan Li, et al.
Briefings in Bioinformatics (2021)
Closed Access | Times Cited: 27
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model
Farman Ali, Harish Kumar, Shruti Patil, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103856-103856
Closed Access | Times Cited: 21
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
DeepAIPs-Pred: Predicting Anti-Inflammatory Peptides Using Local Evolutionary Transformation Images and Structural Embedding-Based Optimal Descriptors with Self-Normalized BiTCNs
Shahid Akbar, Matee Ullah, Ali Raza, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 3
DE-MHAIPs: Identification of SARS-CoV-2 phosphorylation sites based on differential evolution multi-feature learning and multi-head attention mechanism
Minghui Wang, Yan Lu, Jihua Jia, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 106935-106935
Open Access | Times Cited: 10
TargetDBP+: Enhancing the Performance of Identifying DNA-Binding Proteins via Weighted Convolutional Features
Jun Hu, Liang Rao, Yiheng Zhu, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 1, pp. 505-515
Closed Access | Times Cited: 20
ProkDBP: Toward more precise identification of prokaryoticDNAbinding proteins
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Protein Science (2024) Vol. 33, Iss. 6
Closed Access | Times Cited: 2
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