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  1. Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

  2. Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: articles, theses, books, abstracts and court opinions, from academic publishers, professional societies, online repositories, universities and other web sites.

  3. 借助 Google 学术搜索,您可以轻松地大范围搜索学术文献。搜索范围囊括众多知识领域和来源:文章、论文、图书、摘要和 ...

  4. Google Scholar library. Google Scholar library is your personal collection of articles. You can save articles right off the search page, organize them by adding labels, and use the power of Scholar search to quickly find just the one you want - at any time and from anywhere.

  5. Google Scholar Citations lets you track citations to your publications over time.

  6. 2020. Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. M Cho, S Kwak, C Schmid, J Ponce. Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on. , 2015. 317. 2015. Weakly Supervised Semantic Segmentation using Web-Crawled Videos.

  7. Simultaneous determination of biological marker compounds in Ostericum koreanum by HPLC method and discrimination by principal component analysis. MK Lee, JH Ling, MH Chun, JH Jeong, YC Na, KW Lee, JH Jung, J Hong. Bulletin of the Korean Chemical Society 29 (12), 2465-2470. , 2008.

  8. Google Scholar Metrics provide an easy way for authors to quickly gauge the visibility and influence of recent articles in scholarly publications. Scholar Metrics summarize recent citations to many publications, to help authors as they consider where to publish their new research.

  9. Efficient, Catalytic, Aerobic Oxidation of Alcohols with Octahedral Molecular Sieves. YC Son, VD Makwana, AR Howell, SL Suib. Angewandte Chemie (International ed. in English) 40 (22), 4280-4283.

  10. Articles 1–3. ‪Ph.D. candidate @ POSTECH CV Lab.‬ - ‪‪Cited by 91‬‬ - ‪Computer vision and Deep Learning‬.

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