Year |
Citation |
Score |
2021 |
Ahamed F, Song HS, Ho YK. Modeling Coordinated Enzymatic Control of Saccharification and Fermentation by Clostridium thermocellum During Consolidated Bioprocessing of Cellulose. Biotechnology and Bioengineering. PMID 33547803 DOI: 10.1002/bit.27705 |
0.734 |
|
2020 |
Song HS, Stegen JC, Graham EB, Lee JY, Garayburu-Caruso VA, Nelson WC, Chen X, Moulton JD, Scheibe TD. Representing Organic Matter Thermodynamics in Biogeochemical Reactions via Substrate-Explicit Modeling. Frontiers in Microbiology. 11: 531756. PMID 33193121 DOI: 10.3389/fmicb.2020.531756 |
0.339 |
|
2020 |
Ahamed F, Singh M, Song H, Doshi P, Ooi CW, Ho YK. On the use of sectional techniques for the solution of depolymerization population balances: Results on a discrete-continuous mesh Advanced Powder Technology. 31: 2669-2679. DOI: 10.1016/J.Apt.2020.04.032 |
0.708 |
|
2019 |
Ahamed F, Song H, Ooi CW, Ho YK. Modelling heterogeneity in cellulose properties predicts the slowdown phenomenon during enzymatic hydrolysis Chemical Engineering Science. 206: 118-133. DOI: 10.1016/J.Ces.2019.05.028 |
0.728 |
|
2018 |
McClure RS, Overall CC, Hill EA, Song HS, Charania M, Bernstein HC, McDermott JE, Beliaev AS. Species-specific transcriptomic network inference of interspecies interactions. The Isme Journal. PMID 29795448 DOI: 10.1038/S41396-018-0145-6 |
0.335 |
|
2017 |
Song HS, Thomas DG, Stegen JC, Li M, Liu C, Song X, Chen X, Fredrickson JK, Zachara JM, Scheibe TD. Regulation-Structured Dynamic Metabolic Model Provides a Potential Mechanism for Delayed Enzyme Response in Denitrification Process. Frontiers in Microbiology. 8: 1866. PMID 29046664 DOI: 10.3389/Fmicb.2017.01866 |
0.407 |
|
2017 |
Song HS, Goldberg N, Mahajan A, Ramkrishna D. Sequential Computation of Elementary Modes and Minimal Cut Sets in Genome-scale Metabolic Networks Using Alternate Integer Linear Programming. Bioinformatics (Oxford, England). PMID 28369193 DOI: 10.1093/Bioinformatics/Btx171 |
0.531 |
|
2016 |
Henry CS, Bernstein H, Weisenhorn P, Taylor RC, Lee JY, Zucker J, Song HS. Microbial community metabolic modeling: A community data-driven network reconstruction. Journal of Cellular Physiology. PMID 27186840 DOI: 10.1002/Jcp.25428 |
0.369 |
|
2016 |
Song HS, Ramkrishna D. Comment on "Mathematical modeling of unicellular microalgae and cyanobacteria metabolism for biofuel production" by Baroukh et al. [Curr Opin Biotechnol. 2015, 33:198-205]. Current Opinion in Biotechnology. PMID 26994667 DOI: 10.1016/J.Copbio.2016.02.026 |
0.551 |
|
2016 |
Ramkrishna D, Song H. Analysis of Bioprocesses. Dynamic Modeling is a Must Materials Today: Proceedings. 3: 3587-3599. DOI: 10.1016/J.Matpr.2016.10.040 |
0.651 |
|
2015 |
Song HS, McClure RS, Bernstein HC, Overall CC, Hill EA, Beliaev AS. Integrated in silico Analyses of Regulatory and Metabolic Networks of Synechococcus sp. PCC 7002 Reveal Relationships between Gene Centrality and Essentiality. Life (Basel, Switzerland). 5: 1127-40. PMID 25826650 DOI: 10.3390/Life5021127 |
0.379 |
|
2015 |
Song HS, Liu C. Dynamic Metabolic Modeling of Denitrifying Bacterial Growth: The Cybernetic Approach Industrial and Engineering Chemistry Research. 54: 10221-20227. DOI: 10.1021/Acs.Iecr.5B01615 |
0.454 |
|
2014 |
Song HS, Reifman J, Wallqvist A. Prediction of metabolic flux distribution from gene expression data based on the flux minimization principle. Plos One. 9: e112524. PMID 25397773 DOI: 10.1371/Journal.Pone.0112524 |
0.461 |
|
2013 |
Song HS, Ramkrishna D, Pinchuk GE, Beliaev AS, Konopka AE, Fredrickson JK. Dynamic modeling of aerobic growth of Shewanella oneidensis. Predicting triauxic growth, flux distributions, and energy requirement for growth Metabolic Engineering. 15: 25-33. PMID 23022551 DOI: 10.1016/J.Ymben.2012.08.004 |
0.617 |
|
2013 |
Song H, Ramkrishna D. Complex Nonlinear Behavior in Metabolic Processes: Global Bifurcation Analysis of Escherichia coli Growth on Multiple Substrates Processes. 1: 263-278. DOI: 10.3390/PR1030263 |
0.516 |
|
2013 |
Song HS, DeVilbiss F, Ramkrishna D. Modeling metabolic systems: The need for dynamics Current Opinion in Chemical Engineering. 2: 373-382. DOI: 10.1016/J.Coche.2013.08.004 |
0.624 |
|
2012 |
Kim JI, Song HS, Sunkara SR, Lali A, Ramkrishna D. Exacting predictions by cybernetic model confirmed experimentally: Steady state multiplicity in the chemostat Biotechnology Progress. 28: 1160-1166. PMID 22736577 DOI: 10.1002/Btpr.1583 |
0.572 |
|
2012 |
Song HS, Ramkrishna D. Prediction of dynamic behavior of mutant strains from limited wild-type data Metabolic Engineering. 14: 69-80. PMID 22500302 DOI: 10.1016/J.Ymben.2012.02.003 |
0.616 |
|
2012 |
Adler P, Song HS, Kästner K, Ramkrishna D, Kunz B. Prediction of dynamic metabolic behavior of Pediococcus pentosaceus producing lactic acid from lignocellulosic sugars Biotechnology Progress. 28: 623-635. PMID 22275308 DOI: 10.1002/Btpr.1521 |
0.635 |
|
2012 |
Geng J, Song HS, Yuan J, Ramkrishna D. On enhancing productivity of bioethanol with multiple species Biotechnology and Bioengineering. 109: 1508-1517. PMID 22234672 DOI: 10.1002/Bit.24419 |
0.566 |
|
2012 |
Song HS, Kim SJ, Ramkrishna D. Synergistic optimal integration of continuous and fed-batch reactors for enhanced productivity of lignocellulosic bioethanol Industrial and Engineering Chemistry Research. 51: 1690-1696. DOI: 10.1021/Ie200879S |
0.563 |
|
2012 |
Ramkrishna D, Song HS. Dynamic models of metabolism: Review of the cybernetic approach Aiche Journal. 58: 986-997. DOI: 10.1002/Aic.13734 |
0.615 |
|
2011 |
Song HS, Ramkrishna D. Cybernetic models based on lumped elementary modes accurately predict strain-specific metabolic function Biotechnology and Bioengineering. 108: 127-140. PMID 20830732 DOI: 10.1002/Bit.22922 |
0.598 |
|
2011 |
Franz A, Song HS, Ramkrishna D, Kienle A. Experimental and theoretical analysis of poly(β-hydroxybutyrate) formation and consumption in Ralstonia eutropha Biochemical Engineering Journal. 55: 49-58. DOI: 10.1016/J.Bej.2011.03.006 |
0.617 |
|
2010 |
Song HS, Ramkrishna D. Prediction of metabolic function from limited data: Lumped Hybrid Cybernetic Modeling (L-HCM) Biotechnology and Bioengineering. 106: 271-284. PMID 20148411 DOI: 10.1002/Bit.22692 |
0.638 |
|
2010 |
Wong WC, Song HS, Lee JH, Ramkrishna D. Hybrid cybernetic model-based simulation of continuous production of lignocellulosic ethanol: Rejecting abruptly changing feed conditions Control Engineering Practice. 18: 177-189. DOI: 10.1016/J.Conengprac.2009.09.002 |
0.581 |
|
2010 |
Song HS, Ramkrishna D. Issues with increasing bioethanol productivity: A model directed study Korean Journal of Chemical Engineering. 27: 576-586. DOI: 10.1007/S11814-010-0101-2 |
0.586 |
|
2009 |
Song HS, Morgan JA, Ramkrishna D. Systematic development of hybrid cybernetic models: Application to recombinant yeast co-consuming glucose and xylose Biotechnology and Bioengineering. 103: 984-1002. PMID 19449391 DOI: 10.1002/Bit.22332 |
0.61 |
|
2009 |
Song HS, Ramkrishna D. Reduction of a set of elementary modes using yield analysis. Biotechnology and Bioengineering. 102: 554-68. PMID 18853408 DOI: 10.1002/Bit.22062 |
0.573 |
|
2009 |
Song HS, Ramkrishna D. When is the quasi-steady-state approximation admissible in metabolic modeling? When admissible, what models are desirable? Industrial and Engineering Chemistry Research. 48: 7976-7985. DOI: 10.1021/Ie900075F |
0.616 |
|
2009 |
Song HS, Ramkrishna D. Reduction of a set of elementary modes using yield analysis Biotechnology and Bioengineering. 102: 554-568. DOI: 10.1002/bit.22062 |
0.425 |
|
2008 |
Ramkrishna D, Song HS. A rationale for monod's biochemical growth kinetics Industrial and Engineering Chemistry Research. 47: 9090-9098. DOI: 10.1021/Ie800905D |
0.592 |
|
2008 |
Song H, Ramkrishna D. Cybernetic models as a useful tool for metabolic engineering Journal of Biotechnology. 136: S345-S346. DOI: 10.1016/J.Jbiotec.2008.07.791 |
0.571 |
|
2004 |
Song H, Ramkrishna D, Trinh S, Wright H. Operating strategies for Fischer-Tropsch reactors: A model-directed study Korean Journal of Chemical Engineering. 21: 308-317. DOI: 10.1007/Bf02705414 |
0.543 |
|
2003 |
Song HS, Ramkrishna D, Trinh S, Espinoza RL, Wright H. Multiplicity and sensitivity analysis of Fischer - Tropsch bubble column slurry reactors: Plug-flow gas and well-mixed slurry model Chemical Engineering Science. 58: 2759-2766. DOI: 10.1016/S0009-2509(03)00125-8 |
0.49 |
|
2003 |
Song HS, Ramkrishna D, Trinh S, Wright H. Diagnostic nonlinear analysis of Fischer-Tropsch synthesis in stirred-tank slurry reactors Aiche Journal. 49: 1803-1820. DOI: 10.1002/Aic.690490717 |
0.546 |
|
2002 |
Song H, Lee JS, Hyun JC. A Kinetic Model for Polystyrene (PS) Pyrolysis Reaction Korean Journal of Chemical Engineering. 19: 949-953. DOI: 10.1007/Bf02707216 |
0.344 |
|
1999 |
Song H, Hyun JC. An Optimization Study on the Pyrolysis of Polystyrene in a Batch Reactor Korean Journal of Chemical Engineering. 16: 316-324. DOI: 10.1007/Bf02707119 |
0.303 |
|
1999 |
Song H, Moon K, Hyun JC. A Life-Cycle Assessment (Lca) Study On The Various Recycle Routes Of Pet Bottles Korean Journal of Chemical Engineering. 16: 202-207. DOI: 10.1007/Bf02706837 |
0.32 |
|
1996 |
Song H, Park YD, Hyun JC. Optimization For The Minimum Reaction Time Of Pet Esterification Korean Journal of Chemical Engineering. 13: 369-378. DOI: 10.1007/Bf02705964 |
0.309 |
|
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