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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:

Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix
Muhammad Adeel Waris, Khurshid Ahmad, Muhammad Kabir, et al.
Neurocomputing (2016) Vol. 199, pp. 154-162
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
Leyi Wei, Jijun Tang, Quan Zou
Information Sciences (2016) Vol. 384, pp. 135-144
Closed Access | Times Cited: 254
AIPs-DeepEnC-GA: Predicting Anti-inflammatory Peptides using Embedded Evolutionary and Sequential Feature Integration with Genetic Algorithm based Deep Ensemble Model
Ali Raza, Jamal Uddin, Quan Zou, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105239-105239
Closed Access | Times Cited: 19
DPP-PseAAC: A DNA-binding protein prediction model using Chou’s general PseAAC
Mohammad Saifur Rahman, Swakkhar Shatabda, Sanjay Saha, et al.
Journal of Theoretical Biology (2018) Vol. 452, pp. 22-34
Closed Access | Times Cited: 148
A Review on the Recent Developments of Sequence-based Protein Feature Extraction Methods
Jun Zhang, Bin Liu
Current Bioinformatics (2018) Vol. 14, Iss. 3, pp. 190-199
Closed Access | Times Cited: 131
iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition
Muhammad Arif, Maqsood Hayat, Zahoor Jan
Journal of Theoretical Biology (2018) Vol. 442, pp. 11-21
Closed Access | Times Cited: 108
iHBP-DeepPSSM: Identifying hormone binding proteins using PsePSSM based evolutionary features and deep learning approach
Shahid Akbar, Salman Khan, Farman Ali, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 204, pp. 104103-104103
Closed Access | Times Cited: 89
MsDBP: Exploring DNA-Binding Proteins by Integrating Multiscale Sequence Information via Chou’s Five-Step Rule
Xiuquan Du, Yanyu Diao, Heng Liu, et al.
Journal of Proteome Research (2019) Vol. 18, Iss. 8, pp. 3119-3132
Closed Access | Times Cited: 84
cACP: Classifying anticancer peptides using discriminative intelligent model via Chou’s 5-step rules and general pseudo components
Shahid Akbar, Ateeq Ur Rahman, Maqsood Hayat, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 196, pp. 103912-103912
Closed Access | Times Cited: 76
iAFPs-EnC-GA: Identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach
Ashfaq Ahmad, Shahid Akbar, Muhammad Tahir, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 222, pp. 104516-104516
Closed Access | Times Cited: 69
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: 31
PSSM-Sumo: deep learning based intelligent model for prediction of sumoylation sites using discriminative features
Salman Khan, Salman A. AlQahtani, Sumaiya Noor, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 11
Deep-ProBind: binding protein prediction with transformer-based deep learning model
Salman Khan, Sumaiya Noor, Hamid Hussain Awan, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access | Times Cited: 1
PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation
Jun Zhang, Bin Liu
International Journal of Molecular Sciences (2017) Vol. 18, Iss. 9, pp. 1856-1856
Open Access | Times Cited: 69
Improved detection of DNA-binding proteins via compression technology on PSSM information
Yubo Wang, Yijie Ding, Fei Guo, et al.
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0185587-e0185587
Open Access | Times Cited: 69
Intelligent computational method for discrimination of anticancer peptides by incorporating sequential and evolutionary profiles information
Muhammad Kabir, Muhammad Arif, Saeed Ahmad, et al.
Chemometrics and Intelligent Laboratory Systems (2018) Vol. 182, pp. 158-165
Closed Access | Times Cited: 66
iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families
Muhammad Kabir, Saeed Ahmad, Muhammad Iqbal, et al.
Genomics (2019) Vol. 112, Iss. 1, pp. 276-285
Open Access | Times Cited: 66
Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles
Nguyen Quoc Khanh Le
Journal of Proteome Research (2019) Vol. 18, Iss. 9, pp. 3503-3511
Closed Access | Times Cited: 64
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
Nguyen Quoc Khanh Le, Quang‐Thai Ho, Edward Kien Yee Yapp, et al.
Neurocomputing (2019) Vol. 375, pp. 71-79
Closed Access | Times Cited: 55
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: 52
MFSC: Multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
Ahmad Jamal, Maqsood Hayat
Journal of Theoretical Biology (2018) Vol. 463, pp. 99-109
Closed Access | Times Cited: 56
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition
Muhammad Tahir, Maqsood Hayat, Muhammad Kabir
Computer Methods and Programs in Biomedicine (2017) Vol. 146, pp. 69-75
Closed Access | Times Cited: 55
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou’s PseAAC
Xiangzheng Fu, Wen Zhu, Bo Liao, et al.
IEEE Access (2018) Vol. 6, pp. 66545-66556
Open Access | Times Cited: 55
Identification of prokaryotic promoters and their strength by integrating heterogeneous features
Hilal Tayara, Muhammad Tahir, Kil To Chong
Genomics (2019) Vol. 112, Iss. 2, pp. 1396-1403
Open Access | Times Cited: 52
iDTi-CSsmoteB: Identification of Drug–Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE
Saifuddin Mahmud, Wenyu Chen, Hosney Jahan, et al.
IEEE Access (2019) Vol. 7, pp. 48699-48714
Open Access | Times Cited: 51
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