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2020 – today
- 2023
[j10]Yongjun Zhu
, Lihong Quan, Pei-Ying Chen, Meen Chul Kim, Chao Che:
Predicting coauthorship using bibliographic network embedding. J. Assoc. Inf. Sci. Technol. 74(4): 388-401 (2023)- [i1]Ariana M. Familiar, Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow, Nastaran Khalili, Sina Bagheri, Debanjan Haldar, Meen Chul Kim, Sherjeel Arif, Rachel Madhogarhia, Thinh Q. Nguyen, Elizabeth A. Frenkel, Zeinab Helili, Jessica Harrison, Keyvan Farahani, Marius George Linguraru, Ulas Bagci, Yury Velichko, Jeffrey Stevens, Sarah E. S. Leary, Robert M. Lober, Stephani Campion, Amy A. Smith, Denise Morinigo, Brian Rood, Kimberly Diamond, Ian F. Pollack, Melissa Williams, Arastoo Vossough, Jeffrey B. Ware, Sabine Müller, Phillip B. Storm, Allison P. Heath, Angela J. Waanders, Jena V. Lilly, Jennifer L. Mason, Adam C. Resnick, Ali Nabavizadeh:
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. CoRR abs/2310.01413 (2023) - 2021
- [j9]Meen Chul Kim, Yuanyuan Feng, Yongjun Zhu:
Mapping scientific profile and knowledge diffusion of Library Hi Tech. Libr. Hi Tech 39(2): 549-573 (2021) - [j8]Yongjun Zhu, Donghun Kim, Erjia Yan, Meen Chul Kim, Guanqiu Qi:
Analyzing China's research collaboration with the United States in high-impact and high-technology research. Quant. Sci. Stud. 2(1): 363-375 (2021) - 2020
- [j7]Meen Chul Kim, Seojin Nam, Fei Wang, Yongjun Zhu:
Mapping scientific landscapes in UMLS research: a scientometric review. J. Am. Medical Informatics Assoc. 27(10): 1612-1624 (2020)
2010 – 2019
- 2019
- [c9]Meen Chul Kim, Thomas H. Park, Ruixue Liu, Andrea Forte:
Understanding Learning Curves and Trajectories in CSS Layout. SIGCSE 2019: 504-510 - 2018
- [c8]Yongjun Zhu, Meen Chul Kim, Erjia Yan:
Evaluating interactive bibliographic information retrieval systems: A user-centered approach. ASIST 2018: 628-637 - [c7]Andrea Forte, Nazanin Andalibi, Tim Gorichanaz, Meen Chul Kim, Thomas H. Park, Aaron Halfaker:
Information Fortification: An Online Citation Behavior. GROUP 2018: 83-92 - 2017
- [j6]Yongjun Zhu, Meen Chul Kim, Chaomei Chen:
An investigation of the intellectual structure of opinion mining research. Inf. Res. 22(1) (2017) - 2016
- [j5]Meen Chul Kim, Yongjun Zhu, Chaomei Chen:
How are they different? A quantitative domain comparison of information visualization and data visualization (2000-2014). Scientometrics 107(1): 123-165 (2016) - [c6]Thomas H. Park, Meen Chul Kim, Sukrit Chhabra, Brian Lee, Andrea Forte:
Reading Hierarchies in Code: Assessment of a Basic Computational Skill. ITiCSE 2016: 302-307 - [c5]Meen Chul Kim, Thomas H. Park, Brian Lee, Sukrit Chhabra, Andrea Forte:
A Constructionist Toolkit for Learning Elementary Web Development at Scale. L@S 2016: 189-192 - 2015
- [j4]Meen Chul Kim, Chaomei Chen:
A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics 104(1): 239-263 (2015) - [c4]Meen Chul Kim, Yuanyuan Feng, Yongjun Zhu, Qing Ping:
Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates. ASIST 2015: 1-4 - [c3]Geet Lahoti, Meen Chul Kim, Jan L. Youtie, Alan L. Porter, Chuck Zhang, Ben Wang, Diana Hicks:
A scientometric comparative study of single-walled and multi-walled carbon nanotubes research. ASIST 2015: 1-4 - 2014
- [j3]Min Song, Meen Chul Kim, Yoo Kyung Jeong:
Analyzing the Political Landscape of 2012 Korean Presidential Election in Twitter. IEEE Intell. Syst. 29(2): 18-26 (2014) - [j2]Meen Chul Kim, Yoo Kyung Jeong, Min Song:
Investigating the integrated landscape of the intellectual topology of bioinformatics. Scientometrics 101(1): 309-335 (2014) - [c2]Christopher C. Yang, Simon Lin, Meen Chul Kim, Ling Jiang:
ACTONNECT: A Platform to Support Patients and Researchers Collaboration. ICHI 2014: 369 - 2013
- [j1]Jung Eun Hahm, Suyeon Kim, Meen Chul Kim, Min Song:
Investigation into the existence of the indexer effect in key phrase extraction. Inf. Res. 18(4) (2013) - [c1]Min Song, Meen Chul Kim:
RT^2M: Real-Time Twitter Trend Mining System. SOCIETY 2013: 64-71
Coauthor Index
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