IMSC2024 Workshop
Innovation Measurement for Scientific Communication (IMSC) in the Era of Big Data
Hong Kong, China
Dec 20th, 2024, 9:30 am – 1:00 pm
Long Paper
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Novelty Assessment of Chinese Academic Articles in Information Resources Management: A Comparison of Knowledge Entity and Reference-Based Methods
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Yanqi Ren, Cheng Yang, Yi Zhao, Heng Zhang and Chengzhi Zhang
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Nanjing University of Science and Technology
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Identifying Emerging Topics in Specific Domains via Novelty Analysis of Entities in Future Work Sentences from Academic Articles
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Yang Yang, Yi Xiang and Chengzhi Zhang
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Nanjing University of Science and Technology
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Short Paper
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Relationship Between Paper Authorship Roles and Novelty from a Gender Perspective: Evidence from 81,137 PLOS ONE Articles
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Jiaqi Zeng, Yi Zhao and Chengzhi Zhang
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Nanjing University of Science and Technology
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A Comparative Study of ORKG and LLM identified Research Contributions
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Harish Varma Siravuri, Miftahul Jannat Mokarrama, Ibrahim Al Azher and Hamed Alhoori
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Northern Illiniois University
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What is academic innovation: a concept analysis
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Shouyu Li, Danlei Chen and Bolin Hua
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Department of Information Management, Peking University
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Freshness and Informativity Weighted Cognitive Extent and Its Correlation with Cumulative Citation Count
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Zihe Wang and Jian Wu
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The Ohio State University and The Old Dominion University
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Entity-Citation-Driven Academic Impact Measurement in Scientific Papers
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Xinyan Gao, Chong Chen, Wenxi Li and Yong Xin He
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School of Government, Beijing Normal University
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Poster
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Research on Paper Semantic Novelty Measurement Based on Large Language Model
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Xinpeng Qiu and Jing Li
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Sun Yat-sen University
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Revealing the Research Deviation of AI Research Between China and the U.S.
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Han Sun and Guo Chen
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Department of Information Management, Nanjing University of Science and Technology
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Technology Topic Evolution from the Perspective of Patent Validity
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Jinzhu Zhang and Runze Chen
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Department of Information Management, School of Economy and Management, Nanjing University of Science and Technology
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Can the strength of co-citation linkages be evaluated using context-aware citation network embeddings?
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Masaki Eto
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Gakushuin Women’s College
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