Ying Hong, Ph.D.

2006 Clemson University, Clemson, SC, United States 
Environmental Engineering, Environmental Sciences
"Ying Hong"
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Tanju Karanfil grad student 2006 Clemson University
 (Exploring the pathways of dihalogenated acetic acid (DXAA) formation during chloramination.)
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Hong Y, Song H, Karanfil T. (2013) Formation of haloacetic acids from dissolved organic matter fractions during chloramination. Water Research. 47: 1147-55
Song H, Orr O, Hong Y, et al. (2009) Isolation and fractionation of natural organic matter: evaluation of reverse osmosis performance and impact of fractionation parameters. Environmental Monitoring and Assessment. 153: 307-21
Hong Y, Rohatagi S, Habtemariam B, et al. (2008) Population exposure-response modeling of metformin in patients with type 2 diabetes mellitus. Journal of Clinical Pharmacology. 48: 696-707
Hong Y, Gengo FM, Rainka MM, et al. (2008) Population pharmacodynamic modelling of aspirin- and Ibuprofen-induced inhibition of platelet aggregation in healthy subjects. Clinical Pharmacokinetics. 47: 129-37
Hong Y, Mager DE, Blum RA, et al. (2007) Population pharmacokinetic/pharmacodynamic modeling of systemic corticosteroid inhibition of whole blood lymphocytes: modeling interoccasion pharmacodynamic variability. Pharmaceutical Research. 24: 1088-97
Hong YY. (1997) Optimal Harmonic Power Flow Ieee Transactions On Power Delivery. 12: 1267-1273
Hong YY. (1996) An enhanced expert system with fuzzy reasoning for line flow control in power systems Electric Power Systems Research. 39: 1-8
Hong YY. (1996) Educational software package based on expert systems for power system analysis Journal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung Kuotien Chi Kung Chieng Hsueh K'An. 3: 219-229
Hong YY. (1995) Implementation of enhanced network sensitivities in rule based systems for line flow security analysis-case studies for a practical power system Electric Power Systems Research. 33: 119-124
Hong YY. (1994) Investigation of factors causing slow convergence in Newton optimal power flow Electric Power Systems Research. 31: 153-162
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