Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research

Published:2016-04 Issue: Volume:105 Page:179-191
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Zhang Yi,Zhang Guangquan,Chen Hongshu,Porter Alan L.,Zhu Donghua,Lu Jie

Funder

Australian Research Council (ARC)

National High Technology Research and Development Program of China

US National Science Foundation

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference66 articles.

1. An information-theoretic perspective of tf–idf measures;Aizawa;Inf. Process. Manag.,2003

2. Topic Detection and Tracking Pilot Study Final Report;Allan,1998

3. Lee Kuan Yew: The Grand Master's Insights on China, the United States, and the World;Allison,2013

4. Automated tag clustering: improving search and exploration in the tag space;Begelman,2006

5. Frequent term-based text clustering;Beil,2002

Cited by 135 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. Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification;Knowledge-Based Systems;2024-10

2. Public research institutes in Brazil: evidence of research and innovation impact;Innovation: The European Journal of Social Science Research;2024-09-11

3. Technology Roadmapping: Data Science Roadmapping of Networked Organizations' Strategic Planning for Artificial Intelligence;Future‐Oriented Technology Assessment;2024-09-06

4. Feature Distributions of Technologies;Systems;2024-07-26

5. From Constructing Future Landscapes to Developing Conceptual Narratives: Promoting Design Innovation in the Vehicular Metaverse through Forecasting and Backcasting;Systems;2024-07-19

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