Using Text-mining Method to Identify Research Trends of Freshwater Exotic Species in Korea.-Reference-Cited by-同舟云学术

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Using Text-mining Method to Identify Research Trends of Freshwater Exotic Species in Korea.

Published:2015-09-30 Issue:3 Volume:48 Page:195-202
ISSN:2288-1115
Container-title:Korean Journal of Ecology and Environment
language:
Short-container-title:Korean J. Ecology and Environment.

Author:

Do Yuno, ,Ko Eui-Jeong,Kim Young-Min,Kim Hyo-Gyeom,Joo Gea-Jae,Kim Ji Yoon,Kim Hyun-Woo

Publisher

Korean Society of Limnology

Subject

Industrial and Manufacturing Engineering,Materials Science (miscellaneous),Business and International Management

Cited by 6 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. Trends identification of species distribution modeling study in Korea using text-mining technique;Environmental Biology Research;2023-12-30

2. Applying Text Mining, Clustering Analysis, and Latent Dirichlet Allocation Techniques for Topic Classification of Environmental Education Journals;Sustainability;2021-09-29

3. Development of a Quantitative PCR Assay for Four Salmon Species Inhabiting the Yangyangnamdae River Using Environmental DNA;Biology;2021-09-11

4. Review: A bibliometric survey of live feed for marine finfish and shrimp larval production;Aquaculture Research;2021-08-07

5. Research topics and trends of endangered species using text mining in Korea;Journal of Asia-Pacific Biodiversity;2020-12

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