Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Quantifying cross-disciplinary knowledge flow from the perspective of content: Introducing an approach based on knowledge memes

Published:2020-11 Issue:4 Volume:14 Page:101092
ISSN:1751-1577
Container-title:Journal of Informetrics
language:en
Short-container-title:Journal of Informetrics

Author:

Mao Jin,Liang Zhentao,Cao Yujie,Li Gang

Funder

National Natural Science Foundation of China

Ministry of Education “Library, Information, and Data Science.”

Publisher

Elsevier BV

Subject

Library and Information Sciences,Computer Science Applications

Reference62 articles.

1. Powerlaw: A python package for analysis of heavy-tailed distributions;Alstott;PloS One,2014

2. A hierarchical approach to analyzing knowledge integration between two fields—A case study on medical informatics and computer science;Ba;Scientometrics,2019

3. Can natural language processing improve the efficiency of vaccine adverse event report review?;Baer;Methods of Information in Medicine,2016

4. Emergence of scaling in random networks;Barabási;Science,1999

5. The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models;Bettencourt;Physica A: Statistical Mechanics and its Applications,2006

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation;Journal of Informetrics;2024-11

2. The Sustainable Innovation of AI: Text Mining the Core Capabilities of Researchers in the Digital Age of Industry 4.0;Sustainability;2024-09-06

3. Transdisciplinary fine-grained citation content analysis: A multi-task learning perspective for citation aspect and sentiment classification;Journal of Informetrics;2024-08

4. Research on interdisciplinarity of five-metrics in China based on Chinese Citation Data under the background of open science;Journal of Information Science;2024-07-25

5. Reinforming memes: a literature review of the status of memetic information;Journal of Documentation;2024-04-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3