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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:

Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins
Xiujuan Lei, Xiaoqin Yang, Fang‐Xiang Wu
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2018) Vol. 17, Iss. 2, pp. 495-505
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

An iteration method for identifying yeast essential proteins from heterogeneous network
Bihai Zhao, Yulin Zhao, Xiaoxia Zhang, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 35
Capacity Configuration Method of Flexible Smart Traction Power Supply System Based on Double-Layer Optimization
Yichen Ying, Zhongbei Tian, Mingli Wu, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 9, Iss. 3, pp. 4571-4582
Closed Access | Times Cited: 10
Feature selection using competitive coevolution of bio-inspired algorithms for the diagnosis of pulmonary emphysema
Anisha Isaac, H. Khanna Nehemiah, Snofy D. Dunston, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103340-103340
Closed Access | Times Cited: 13
Predicting metabolite-disease associations based on KATZ model
Xiujuan Lei, Cheng Zhang
BioData Mining (2019) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Protein complexes detection based on node local properties and gene expression in PPI weighted networks
Yang Yu, Dezhou Kong
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 8
A Novel Method to Predict Essential Proteins Based on Diffusion Distance Networks
Bihai Zhao, Xiao Han, Xiner Liu, et al.
IEEE Access (2020) Vol. 8, pp. 29385-29394
Open Access | Times Cited: 12
Method for Identifying Essential Proteins by Key Features of Proteins in a Novel Protein-Domain Network
Xin He, Linai Kuang, Zhiping Chen, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 11
An improved poor and rich optimization algorithm
Yanjiao Wang, Sheng-Nan Zhou
PLoS ONE (2023) Vol. 18, Iss. 2, pp. e0267633-e0267633
Open Access | Times Cited: 4
A Novel Computational Approach for Identifying Essential Proteins From Multiplex Biological Networks
Bihai Zhao, Sai Hu, Xiner Liu, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 8
Predicting Essential Proteins Based on Second-Order Neighborhood Information and Information Entropy
Jie Zhao, Xiujuan Lei
IEEE Access (2019) Vol. 7, pp. 136012-136022
Open Access | Times Cited: 7
An iteration model for identifying essential proteins by combining comprehensive PPI network with biological information
Shiyuan Li, Zhen Zhang, Xueyong Li, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 6
An Iterative Method for Predicting Essential Proteins Based on Multifeature Fusion and Linear Neighborhood Similarity
Xianyou Zhu, Yao-Can Zhu, Yihong Tan, et al.
Frontiers in Aging Neuroscience (2022) Vol. 13
Open Access | Times Cited: 4
Identification of essential proteins based on Local Random Walk and Adaptive Multi-View Multi-Label Learning
Lei Wang, Jiaxin Peng, Linai Kuang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 19, Iss. 6, pp. 3507-3516
Open Access | Times Cited: 4
A disease-related essential protein prediction model based on the transfer neural network
Sisi Chen, Chiguo Huang, Lei Wang, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 2
Essential Protein Prediction Based on Shuffled Frog‐Leaping Algorithm
Xiaoqin Yang, Xiujuan Lei, Jie Zhao
Chinese Journal of Electronics (2021) Vol. 30, Iss. 4, pp. 704-711
Open Access | Times Cited: 5
Traction load modeling considering multiple types of locomotives and analysis of its impact on power grid
Bo Zhang, Yichen Ying, Qionglin Li, et al.
Electric Power Systems Research (2022) Vol. 215, pp. 109008-109008
Closed Access | Times Cited: 3
A New Modulation Recognition Method Based on Flying Fish Swarm Algorithm
Jingpeng Gao, Xu Wang, Ruowu Wu, et al.
IEEE Access (2021) Vol. 9, pp. 76689-76706
Open Access | Times Cited: 4
Novel Scheme for Essential Proteins Identification Based on Improved Multicriteria Decision Making
Pengli Lu, Yuntian Chen, Yonggang Liao
Journal of Shanghai Jiaotong University (Science) (2023) Vol. 28, Iss. 4, pp. 418-431
Closed Access | Times Cited: 1
An Iterative Model for Identifying Essential Proteins Based on the Whole Process Network of Protein Evolution
Zhen Zhang, Yao-Can Zhu, Hongjing Pei, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 4, pp. 359-373
Open Access | Times Cited: 1
Vitamin D Deficiency-Associated Comorbidities: A Protein Network Dynamics Perspective
Anton F. Fliri, Shama Kajiji
Medical Research Archives (2023) Vol. 11, Iss. 6
Open Access | Times Cited: 1
Optimizing Workload Scheduling in Cloud Paradigm using Robust Neutrosophic C-Means Clustering Boosted with Fish School Search
S. Yuvaraj Gandhi, T. Revathi
WSEAS TRANSACTIONS ON SYSTEMS (2023) Vol. 23, pp. 8-23
Open Access | Times Cited: 1
Method for Essential Protein Prediction Based on the Naïve Bayesian Classifier and Bioinformation Fusion
Jing Tan, Linai Kuang, Lei Wang
(2022), pp. 1-7
Closed Access | Times Cited: 2
A Novel Model for Identifying Essential Proteins Based on Key Target Convergence Sets
Jiaxin Peng, Linai Kuang, Zhen Zhang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 2
Design of Digital Infinite Impulse Response Filter Based on Artificial Fish Swarm Algorithm
Li Wang, Shuang Li, Wei Wang, et al.
Journal of Physics Conference Series (2021) Vol. 2030, Iss. 1, pp. 012082-012082
Open Access | Times Cited: 1
A framework for identifying essential proteins with hybridizing deep neural network and ordinary least squares
Sai Zou, Yunbin Hu
Research Square (Research Square) (2023)
Open Access
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