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Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network
Xinyuan Zhang, Qing Xie,
Min Song
Department of Library and Information Science
Research output
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Contribution to journal
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Article
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peer-review
7
Citations (Scopus)
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Dive into the research topics of 'Measuring the impact of novelty, bibliometric, and academic-network factors on citation count using a neural network'. Together they form a unique fingerprint.
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Computer Science
Networks
100%
Citation Count
83%
Related Factor
66%
Citation Network
33%
Keywords
33%
Influential Factor
16%
Neural Network Model
16%
Computer Technology
16%
Influencing Factor
16%
Library Information
16%
References
16%
Software Engineering
16%
Psychology
Novelty
83%
Neural Network
33%
Neurons
16%
Network Model
16%
Neuroscience
Neuron
16%