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  • × year_i:[2020 TO 2030}
  1. Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023) 0.03 
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    Date
    22. 6.2023 18:07:12
  2. Vakkari, P.; Järvelin, K.; Chang, Y.-W.: ¬The association of disciplinary background with the evolution of topics and methods in Library and Information Science research 1995-2015 (2023) 0.03 
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    Date
    22. 6.2023 18:15:06
  3. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.03 
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    Date
    23.11.2023 19:07:22
  4. Sanfilippo, M.R.; Shvartzshnaider, Y.; Reyes, I.; Nissenbaum, H.; Egelman, S.: Disaster privacy/privacy disaster (2020) 0.03 
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  5. Wu, M.; Liu, Y.-H.; Brownlee, R.; Zhang, X.: Evaluating utility and automatic classification of subject metadata from Research Data Australia (2021) 0.03 
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  6. Xie, J.; Lu, H.; Kang, L.; Cheng, Y.: Citing criteria and its effects on researcher's intention to cite : a mixed-method study (2022) 0.03 
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  7. Bee, G.; Horstkotte, M.; Jahns, Y.; Karg, H.; Nadj-Guttandin, J.: Wissen, was verbindet: . O-Bib. Das Offene Bibliotheksjournal / Herausgeber VDB, 10(1), 1-15. : GND-Arbeit zwischen Terminologie und Redaktion (2023) 0.03 
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  8. Jiang, Y.-C.; Li, H.: ¬The theoretical basis and basic principles of knowledge network construction in digital library (2023) 0.03 
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  9. Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness (2022) 0.03 
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    Source
    ¬The Economist. 2022, [https://www.economist.com/by-invitation/2022/06/09/artificial-neural-networks-are-making-strides-towards-consciousness-according-to-blaise-aguera-y-arcas?giftId=89e08696-9884-4670-b164-df58fffdf067]
  10. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  11. Wang, H.; Song, Y.-Q.; Wang, L.-T.: Memory model for web ad effect based on multimodal features (2020) 0.03 
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    Editor
    Hu, X.-H.
  12. Wang, P.; Ma, Y.; Xie, H.; Wang, H.; Lu, J.; Xu, J.: "There is a gorilla holding a key on the book cover" : young children's known picture book search strategies (2022) 0.03 
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  13. Walsh, J.A.; Cobb, P.J.; Fremery, W. de; Golub, K.; Keah, H.; Kim, J.; Kiplang'at, J.; Liu, Y.-H.; Mahony, S.; Oh, S.G.; Sula, C.A.; Underwood, T.; Wang, X.: Digital humanities in the iSchool (2022) 0.03 
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  14. Huvila, I.; Enwald, H.; Eriksson-Backa, K.; Liu, Y.-H.; Hirvonen, N.: Information behavior and practices research informing information systems design (2022) 0.03 
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  15. Zhou, H.; Dong, K.; Xia, Y.: Knowledge inheritance in disciplines : quantifying the successive and distant reuse of references (2023) 0.03 
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    Abstract
    How the knowledge base of disciplines grows, renews, and decays informs their distinct characteristics and epistemology. Here we track the evolution of knowledge bases of 19 disciplines for over 45 years. We introduce the notation of knowledge inheritance as the overlap in the set of references between years. We discuss two modes of knowledge inheritance of disciplines-successive and distant. To quantify the status and propensity of knowledge inheritance for disciplines, we propose two indicators: one descriptively describes knowledge base evolution, and one estimates the propensity of knowledge inheritance. When observing the continuity in knowledge bases for disciplines, we show distinct patterns for STEM and SS&H disciplines: the former inherits knowledge bases more successively, yet the latter inherits significantly from distant knowledge bases. We further discover stagnation or revival in knowledge base evolution where older knowledge base ceases to decay after 10 years (e.g., Physics and Mathematics) and are increasingly reused (e.g., Philosophy). Regarding the propensity of inheriting prior knowledge bases, we observe unanimous rises in both successive and distant knowledge inheritance. We show that knowledge inheritance could reveal disciplinary characteristics regarding the trajectory of knowledge base evolution and interesting insights into the metabolism and maturity of scholarly communication.
  16. Heisig, P.: Informationswissenschaft für Wissensmanager : Was Wissensmanager von der informationswissenschaftlichen Forschung lernen können (2021) 0.02 
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    Date
    22. 1.2021 14:38:21
    Source
    Information - Wissenschaft und Praxis. 72(2021) H.1, S.10-18
  17. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.02 
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    Date
    29.12.2022 18:22:55
    Source
    c't. 2023, H.1, S.46- [https://www.heise.de/select/ct/2023/1/2233908274346530870]
  18. Tian, Y; Gomez, R.; Cifor, M.; Wilson, J.; Morgan, H.: ¬The information practices of law enforcement : passive and active collaboration and its implication for sanctuary laws in Washington state (2021) 0.02 
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  19. Zheng, H.; Goh, D.H.-L.; Lee, E.W.J.; Lee, C.S.; Theng, Y.-L.: Understanding the effects of message cues on COVID-19 information sharing on Twitter (2022) 0.02 
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  20. Liu, Y.; Qin, C.; Ma, X.; Liang, H.: Serendipity in human information behavior : a systematic review (2022) 0.02 
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