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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:

Prediction of G Protein-Coupled Receptors With CTDC Extraction and MRMD2.0 Dimension-Reduction Methods
Xingyue Gu, Zhihua Chen, Donghua Wang
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 13

Showing 13 citing articles:

The application of artificial intelligence to accelerate G protein‐coupled receptor drug discovery
Thi Nguyen, Diep Thi Ngoc Nguyen, Huan Yee Koh, et al.
British Journal of Pharmacology (2023) Vol. 181, Iss. 14, pp. 2371-2384
Open Access | Times Cited: 22
Machine learning-based model for accurate identification of druggable proteins using light extreme gradient boosting
Omar Alghushairy, Farman Ali, Wajdi Alghamdi, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 22, pp. 12330-12341
Closed Access | Times Cited: 16
Pseudomonas protegens volatile organic compounds inhibited brown rot of postharvest peach fruit by repressing the pathogenesis-related genes in Monilinia fructicola
Yonghong Huang, Xiaoying Shan, Cuifang Zhang, et al.
Food Microbiology (2024) Vol. 122, pp. 104551-104551
Closed Access | Times Cited: 7
Comparative analysis of the existing methods for prediction of antifreeze proteins
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 232, pp. 104729-104729
Closed Access | Times Cited: 22
Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum
Sita Sirisha Madugula, Pranav Pujar, Bharani Nammi, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 12, pp. 4897-4911
Open Access | Times Cited: 2
Intelligent Protein Design and Molecular Characterization Techniques: A Comprehensive Review
Jingjing Wang, Chang Chen, Ge Yao, et al.
Molecules (2023) Vol. 28, Iss. 23, pp. 7865-7865
Open Access | Times Cited: 3
Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites
Xin Liu, Linlin Xu, Yaping Lu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
SgRNA-RF: Identification of SgRNA On-Target Activity With Imbalanced Datasets
Mengting Niu, Quan Zou
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 2442-2453
Closed Access | Times Cited: 5
Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM
Shulin Zhao, Qingfeng Pan, Quan Zou, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Identification of Family-Specific Features in Cas9 and Cas12 Proteins: A Machine Learning Approach Using Complete Protein Feature Spectrum
Sita Sirisha Madugula, Pranav Pujar, Bharani Nammi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An MCDM approach for Reverse vaccinology model to predict bacterial protective antigens
Pratik Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu
Vaccine (2024) Vol. 42, Iss. 18, pp. 3874-3882
Closed Access
Systems Pharmacology: Enabling Multidimensional Therapeutics
Stuart Maudsley, Hanne Leysen, Jaana van Gastel, et al.
Elsevier eBooks (2021), pp. 725-769
Closed Access | Times Cited: 2
LSTM_Kmal: Prediction of Malonylation Based on LSTM and Feature Confusion
Xin Liu, Xia-Wei Dai, Zhi-Ao Xu, et al.
(2023), pp. 158-164
Closed Access
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