| Solute segregation at the Al/θ′-Al2Cu interface in Al-Cu alloys D Shin, A Shyam, S Lee, Y Yamamoto, JA Haynes Acta Materialia 141, 327-340, 2017 | 153 | 2017 |
| Aggregation and data analysis of corrosion studies in molten chloride and fluoride salts SS Raiman, S Lee Journal of Nuclear Materials 511, 523-535, 2018 | 133 | 2018 |
| Random walk based entity ranking on graph for multidimensional recommendation S Lee, S Song, M Kahng, D Lee, S Lee Proceedings of the fifth ACM conference on Recommender systems, 93-100, 2011 | 123 | 2011 |
| Modern data analytics approach to predict creep of high-temperature alloys D Shin, Y Yamamoto, MP Brady, S Lee, JA Haynes Acta Materialia 168, 321-330, 2019 | 86 | 2019 |
| Exploiting contextual information from event logs for personalized recommendation D Lee, SE Park, M Kahng, S Lee, S Lee Computer and Information Science 2010, 121-139, 2010 | 80 | 2010 |
| PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems S Lee, S Park, M Kahng, S Lee Expert Systems with Applications 40 (2), 684-697, 2013 | 69 | 2013 |
| Survey and trend analysis of context-aware systems S Lee, J Chang, S Lee Information-An International Interdisciplinary Journal 14 (2), 527-548, 2011 | 63 | 2011 |
| Session-based collaborative filtering for predicting the next song SE Park, S Lee, S Lee 2011 First ACIS/JNU International Conference on Computers, Networks, Systems …, 2011 | 46 | 2011 |
| Ranking in context-aware recommender systems M Kahng, S Lee, S Lee Proceedings of the 20th international conference companion on World wide web …, 2011 | 46 | 2011 |
| Pathrank: A novel node ranking measure on a heterogeneous graph for recommender systems S Lee, S Park, M Kahng, S Lee Proceedings of the 21st ACM international conference on Information and …, 2012 | 43 | 2012 |
| Exploiting various implicit feedback for collaborative filtering B Yang, S Lee, S Park, S Lee Proceedings of the 21st International Conference on World Wide Web, 639-640, 2012 | 29 | 2012 |
| Table2Graph: A Scalable Graph Construction From Relational Tables using Map-Reduce S Lee, SH Lim, BH Park Proceedings of the 2015 IEEE BigDataService, 2015 | 25 | 2015 |
| Hotspots: Failure cascades on heterogeneous critical infrastructure networks L Chen, X Xu, S Lee, S Duan, AG Tarditi, S Chinthavali, BA Prakash Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 24 | 2017 |
| Machine learning for thermal transport analysis of aluminum alloys with precipitate morphology J Wang, A Yousefzadi Nobakht, JD Blanks, D Shin, S Lee, A Shyam, ... Advanced Theory and Simulations 2 (4), 1800196, 2019 | 23 | 2019 |
| Petascale supercomputing to accelerate the design of high-temperature alloys D Shin, S Lee, A Shyam, JA Haynes Science and Technology of advanced MaTerialS 18 (1), 828-838, 2017 | 22 | 2017 |
| A study on issues in context-aware systems based on a survey and service scenarios S Lee, S Park, S Lee 2009 10th ACIS International Conference on Software Engineering, Artificial …, 2009 | 22 | 2009 |
| Advanced data science toolkit for non-data scientists–A user guide J Peng, S Lee, A Williams, JA Haynes, D Shin Calphad 68, 101733, 2020 | 21 | 2020 |
| Small Angle Scattering Data Analysis Assisted by Machine Learning Methods C Do, WR Chen, S Lee MRS Advances, 1-8, 2020 | 21 | 2020 |
| COVID-19 pandemic ramifications on residential Smart homes energy use load profiles S Chinthavali, V Tansakul, S Lee, M Whitehead, A Tabassum, M Bhandari, ... Energy and Buildings 259, 111847, 2022 | 20 | 2022 |
| URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety S Lee, L Chen, S Duan, S Chinthavali, M Shankar, BA Prakash 2016 IEEE International Conference on Big Data (Big Data), 2600-2609, 2016 | 20 | 2016 |
Supriya ChinthavaliOak Ridge National Laboratory在 ornl.gov 的电子邮件经过验证
