Year |
Citation |
Score |
2016 |
Lim S, Chung DR, Kim YS, Sohn KM, Kang SJ, Jung SI, Kim SW, Chang HH, Lee SS, Bae IG, Moon C, Rhee JY, Lee JS, Ki HK, Kim HA, et al. Predictive risk factors for Listeria monocytogenes meningitis compared to pneumococcal meningitis: a multicenter case-control study. Infection. PMID 27541039 DOI: 10.1007/s15010-016-0939-2 |
0.415 |
|
2016 |
Jung S, Spence MM, Escasa NM, Lee EA, Hui RL, Gibbs NE. The Risk of Pneumonia in Older Adults Using Nonbenzodiazepine Hypnotics. Journal of Managed Care & Specialty Pharmacy. 22: 932-8. PMID 27459656 DOI: 10.18553/jmcp.2016.22.8.932 |
0.463 |
|
2011 |
Jung S, Ng D, Diaz-Ovalle C, Vazquez-Roman R, Mannan MS. New Approach To Optimizing the Facility Siting and Layout for Fire and Explosion Scenarios Industrial & Engineering Chemistry Research. 50: 3928-3937. DOI: 10.1021/Ie101367G |
0.4 |
|
2010 |
Jung S, Ng D, Laird CD, Mannan MS. A new approach for facility siting using mapping risks on a plant grid area and optimization Journal of Loss Prevention in the Process Industries. 23: 824-830. DOI: 10.1016/J.Jlp.2010.06.001 |
0.468 |
|
2010 |
Jung S, Ng D, Lee J, Vazquez-Roman R, Mannan MS. An approach for risk reduction (methodology) based on optimizing the facility layout and siting in toxic gas release scenarios Journal of Loss Prevention in the Process Industries. 23: 139-148. DOI: 10.1016/J.Jlp.2009.06.012 |
0.41 |
|
2010 |
Vázquez-Román R, Lee J, Jung S, Mannan MS. Optimal facility layout under toxic release in process facilities: A stochastic approach Computers & Chemical Engineering. 34: 122-133. DOI: 10.1016/J.Compchemeng.2009.08.001 |
0.328 |
|
2009 |
Diaz CO, Vázquez-Román R, Jung S, Mannan MS. A Comparison of Deterministic and Stochastic Approaches to Solve the Facility Layout Problem with Toxic Releases Computer-Aided Chemical Engineering. 26: 93-98. DOI: 10.1016/S1570-7946(09)70016-1 |
0.401 |
|
2009 |
Pasman HJ, Jung S, Prem K, Rogers WJ, Yang X. Is risk analysis a useful tool for improving process safety? Journal of Loss Prevention in the Process Industries. 22: 769-777. DOI: 10.1016/J.Jlp.2009.08.001 |
0.312 |
|
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