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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:

Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
Sheikh Adilina, Dewan Md. Farid, Swakkhar Shatabda
Journal of Theoretical Biology (2018) Vol. 460, pp. 64-78
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

iPSW(2L)-PseKNC: A two-layer predictor for identifying promoters and their strength by hybrid features via pseudo K-tuple nucleotide composition
Xuan Xiao, Zhaochun Xu, Wang‐Ren Qiu, et al.
Genomics (2018) Vol. 111, Iss. 6, pp. 1785-1793
Open Access | Times Cited: 87
Progresses in Predicting Post-translational Modification
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 873-888
Closed Access | Times Cited: 82
pLoc_bal-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by General PseAAC and Quasi-balancing Training Dataset
Kuo‐Chen Chou, Xiang Cheng, Xuan Xiao
Medicinal Chemistry (2018) Vol. 15, Iss. 5, pp. 472-485
Closed Access | Times Cited: 59
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description
Yi Zou, Hongjie Wu, Xiaoyi Guo, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 2, pp. 274-283
Closed Access | Times Cited: 54
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
pLoc_bal-mVirus: Predict Subcellular Localization of Multi-Label Virus Proteins by Chou's General PseAAC and IHTS Treatment to Balance Training Dataset
Xuan Xiao, Xiang Cheng, Gen-Qiang Chen, et al.
Medicinal Chemistry (2018) Vol. 15, Iss. 5, pp. 496-509
Closed Access | Times Cited: 58
An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences
Siquan Hu, Ruixiong Ma, Haiou Wang
PLoS ONE (2019) Vol. 14, Iss. 11, pp. e0225317-e0225317
Open Access | Times Cited: 53
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 25
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity
Mengwei Sun, Prayag Tiwari, Yuqin Qian, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109174-109174
Open Access | Times Cited: 23
Glioma stages prediction based on machine learning algorithm combined with protein-protein interaction networks
Bing Niu, Chaofeng Liang, Yi Lu, et al.
Genomics (2019) Vol. 112, Iss. 1, pp. 837-847
Open Access | Times Cited: 40
FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule
Yi Zou, Yijie Ding, Jijun Tang, et al.
International Journal of Molecular Sciences (2019) Vol. 20, Iss. 17, pp. 4175-4175
Open Access | Times Cited: 35
HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection
Xiuzhi Sang, Wanyue Xiao, Huiwen Zheng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 34
Improved prediction of DNA and RNA binding proteins with deep learning models
Siwen Wu, Jun‐tao Guo
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Artificial Intelligence (AI) Tools Constructed via the 5-Steps Rule for Predicting Post-Translational Modifications
Chou Kuo‐Chen
Trends in Artificial Intelligence (2019) Vol. 3, Iss. 1
Open Access | Times Cited: 31
DeepDBP: Deep neural networks for identification of DNA-binding proteins
Shadman Shadab, Md Tawab Alam Khan, Nazia Afrin Neezi, et al.
Informatics in Medicine Unlocked (2020) Vol. 19, pp. 100318-100318
Open Access | Times Cited: 29
Proposing Pseudo Amino Acid Components is an Important Milestone for Proteome and Genome Analyses
Kuo‐Chen Chou
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 2, pp. 1085-1098
Closed Access | Times Cited: 29
StackDPP: a stacking ensemble based DNA-binding protein prediction model
Sheikh Hasib Ahmed, Dibyendu Brinto Bose, Rafi Khandoker, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Computational approaches in epitope design using DNA binding proteins as vaccine candidate in Mycobacterium tuberculosis
SUNITA SUNITA, Nirjara Singhvi, Yogendra Singh, et al.
Infection Genetics and Evolution (2020) Vol. 83, pp. 104357-104357
Closed Access | Times Cited: 19
Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering
David Medina-Ortiz, Sebastián Contreras, Juan Amado-Hinojosa, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 12
PredDBP-Stack: Prediction of DNA-Binding Proteins from HMM Profiles using a Stacked Ensemble Method
Jun Wang, Huiwen Zheng, Yang Yang, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-8
Open Access | Times Cited: 17
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15
A sequence-based multiple kernel model for identifying DNA-binding proteins
Yuqing Qian, Limin Jiang, Yijie Ding, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S3
Open Access | Times Cited: 14
Using Similarity Software to Evaluate Scientific Paper Quality Is a Big Mistake
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 03, pp. 42-58
Open Access | Times Cited: 15
DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins
Md. Faruk Hosen, Saifuddin Mahmud, Kawsar Ahmed, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105433-105433
Closed Access | Times Cited: 9
pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
Yutao Shao, Xinxin Liu, Zhe Lü, et al.
Natural Science (2020) Vol. 12, Iss. 07, pp. 526-551
Open Access | Times Cited: 14
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