30.Qian, H., Chen, H., Zhang,C., Huang, C., Jiao,L., Li,C.*, Controlled Contrast Pulsality for Accurate Flow Measurements during Interventional Angiography.American Journal of Neuroradiology
29.Zhang,X., Luo,B., Liu, y., Li,C.*.,Development and test of unmaned aerial vehicle for measuring atmospheric particle flow based on multi-resolution holographic imaging and full-scale sonic anemometer. Atmospheric Measurement Techniques
28.Yu, S., Luo, B., Li,C.*, Generate Labeled Bubbly Flow Image Using CycleganConsistent Adversarial Network. Chemical Engineering Journal
27. Luo, B., Lu, B., Gao,X., Li,C.*, Dynamic in situ measurement of axial segregation of E-CAT particles in a bubbling fluidized bed, Chemical Engineering Journal.
26. Liu, S., Wang, H., Bayeul-Lainé, A., Li, C., Katz, J., Coutier-Delgosha, O.*, Wave Statistics and Energy Dissipation of Breaking Waves Generated by a Wave Plate Journal of Fluid Mechanics （ in press）
25. Ma, H., Yu, J., Dai, J. Li, C.*, Gao, X.*, MP-PIC modeling of fluidization behaviors of binary sand-plastic mixtures. Ind. & Eng. Chem. Res., 62, 40, 16456 – 16468. https://doi.org/10.1021/acs.iecr.3c02412
24. Ge, M., Zhou, H., Vaidheeswaran, A.*, Rogers, W., Fan, D., Li, C.*, Multi-scale experimental investigation on the fluidization of Geldart B 13X zeolite particles: A comprehensive dataset for CFD validation. Chem. Eng. J., 471, 144724. https://doi.org/10.1016/j.cej.2023.1447247
23. Qian, H., Yang, Z., Zhang, Z., Feng, J.*, Li C.*, Dilute Oil-in-water Emulsion Initiates Multiple Hole Formation and facilitates larger aerosol production During Bubble Bursting, Int. J. Multiph.Flow, 167, 104525. https://doi.org/10.1016/j.ijmultiphaseflow.2023.104525
22. Xu, X., Li, C., Gao, X.*, 2022. “Coarse-Grained DEM-CFD Simulation of Fluidization Behavior of Irregular Shape Sand Particles”. Ind. Eng. Chem. Res., 61, 25, 9099–9109. https://doi.org/10.1021/acs.iecr.2c00891.
21.Li., C.*, Gao, X.*, Rowan, S., Hughes, B., Rogers, W.A. , 2021. Measuring binary fluidization of non-spherical and spherical particles using machine learning aided image processing[J]. AICHE J. https://doi.org/10.1002/aic.17693
20. Lu, L*, Li, C.*, Rowan, S., Hughes, B., Gao, X., Shahnam, M., Rogers, W.A., 2021. Experiment and CFD Investigation of Biochar Elutriation in Fluidized Bed. AICHE J. https://doi.org/10.1002/aic.17506
19. Li, C., He, R., He, Z., Kumar, S., Fredericks, S., Hogan, C., Hong, J.*, 2021. Spatially-resolved characterization of oil-in-water emulsion sprays. Int. J. Multiph. Flow. 145, 103813.https://doi.org/10.1016/j.ijmultiphaseflow.2021.103813
18. Yu, J., Gao, X.*, Lu, L., Xu, Y., Li, C., Li, T., Rogers, WA, 2021. Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser. Powder Technol., 378, A, 339-347. https://doi.org/10.1016/j.powtec.2020.10.007
16. Li, C., Lim, K., Tim, B., Abraham, A., Hiesel, M., Guala, M., Coletti, F., Hong, J.*, 2021. Settling and Clustering of Snow Particles in Atmospheric Turbulence. J. Fluid Mech. 912, A49, 1-24. https://doi.org/10.1017/jfm.2020.1153
15. Gao, X.*, Yu, J., Lu, L., Li, C., Rogers, W. A., 2020. Development and validation of SuperDEM-CFD coupled model for simulating non-spherical particles hydrodynamics in fluidized beds. Chem. Eng. J. 127654. https://doi.org/10.1016/j.cej.2020.127654
14. Gao, X.*, Yu, J., Li, C., Panday, R., Xu, Y., Li, T., Ashfaq, H., Hughes, B., Rogers, W. A., 2020. Comprehensive experimental investigation on biomass-glass beads binary fluidization: A data set for CFD model validation. AIChE J. 66, e16843, 1–18. https://doi.org/10.1002/aic.16843
13. Li, C. *, Panday, R., Gao, X., Hong, J., Rogers, W.A., 2020. Measuring particle dynamics in a fluidized bed using digital in-line holography. Chem. Eng. J., 405, 126824. https://doi.org/10.1016/j.cej.2020.126824
12. Li, C., Abraham, A., Li, B., Hong, J. *, 2020. Incoming flow measurements of a utility-scale wind turbine using super-large-scale particle image velocimetry. J. Wind Eng. Ind. Aerodyn. 197, 104074. https://doi.org/10.1016/j.jweia.2019.104074
11. Shao, S., Li, C., Hong, J.*, 2019. A hybrid image processing method for measuring 3D bubble distribution using digital inline holography. Chem. Eng. Sci. 207, 929–941. https://doi.org/10.1016/j.ces.2019.07.009
10. Kumar, S.S., Li, C., Christen, C.E., Hogan, C.J., Fredericks, S.A., Hong, J.*, 2019. Automated droplet size distribution measurements using digital inline holography. J. Aerosol Sci. 137, 105442. https://doi.org/10.1016/j.jaerosci.2019.105442
9. Afshar-Mohajer, N., Li, C., Rule, A.M., Katz, J., Koehler, K.*, 2018. A laboratory study of particulate and gaseous emissions from crude oil and crude oil-dispersant contaminated seawater due to breaking waves. Atmos. Environ. 179, 177–186.https://doi.org/10.1016/j.atmosenv.2018.02.017
8. Wei, Z.*, Li, C.*, Dalrymple, R.A., Derakhti, M., Katz, J., 2018. Chaos in breaking waves. Coast. Eng. 140, 272–291. https://doi.org/10.1016/j.coastaleng.2018.08.001 (Corresponding author)
7. Li, C., Miller, J., Wang, J., Koley, S.S., Katz, J.*, 2017. Size Distribution and Dispersion of Droplets Generated by Impingement of Breaking Waves on Oil Slicks. J. Geophys. Res. Ocean. 122, 7938–7957.https://doi.org/10.1002/2017JC013193
6. Wei, Z.*, Shi, H., Li, C., Katz, J., Dalrymple, R., and Bilotta, G., 2016, “Behavior of Oil under Breaking Waves by a Two-phase SPH Model.” June 14-16, 2016. 11th international SPHERIC workshop, Munich, Germany. https://doi.org/10.48550/arXiv.1702.07760
5. Li, C., Katz, J.*, 2016. “Effects of Interfacial Tension and Viscosity on Droplets Formation by Breaking Waves Impinging on an Oil Slick.” May 22-27, 2016. 9th International Conference Multiphase Flow, Florence, Italy.
4. Murphy, D.*, Gemmell, B., Vaccari, L., Li, C., Bacosa, H., Evans, M., Gemmell, C., Harvey, T., Jalali, M., Niepa, T.H.R., 2016. An in-depth survey of the oil spill literature since 1968: Long term trends and changes since Deepwater Horizon. Mar. Pollut. Bull. 113, 371–379. https://doi.org/10.1016/j.marpolbul.2016.10.028
3. Nayak, A.R., Li, C., Kiani, B.T., Katz, J.*, 2015. On the wave and current interaction with a rippled seabed in the coastal ocean bottom boundary layer. J. Geophys. Res. C Ocean. 120, 4595–4624. https://doi.org/10.1002/2014JC010606
2. Murphy, D.W., Li, C., d’Albignac, V., Morra, D., Katz, J.*, 2015. Splash behaviour and oily marine aerosol production by raindrops impacting oil slicks. J. Fluid Mech. 780, 536–577. https://doi.org/10.1017/jfm.2015.431
1. Nayak, A.R., Li, C., Kiani, B.T., Katz, J.*, 2013. Wave-current and bottom topographical interactions in the coastal ocean bottom boundary layer. July 1-3, 2013, 10th International Symposium on Particle Image Velocimetry. Delft, Netherlands.
30.Qian, H., Chen, H., Zhang,C., Huang, C., Jiao,L., Li,C.*, Controlled Contrast Pulsality for Accurate Flow Measurements during Interventional Angiography.American Journal of Neuroradiology
29.Zhang,X., Luo,B., Liu, y., Li,C.*.,Development and test of unmaned aerial vehicle for measuring atmospheric particle flow based on multi-resolution holographic imaging and full-scale sonic anemometer. Atmospheric Measurement Techniques
28.Yu, s., Luo, B., Li,C.*, Generate Labeled Bubbly Flow Image Using CycleganConsistent Adversarial Network. Chemical Engineering Journal
27. Luo, B., Lu, B., Gao,X., Li,C.*, Dynamic in situ measurement of axial segregation of E-CAT particles in a bubbling fluidized bed, Chemical Engineering Journal.
26. Liu, Shuo; Wang, Hui; Bayeul-Lainé, Annie-Claude; Li, Cheng; Katz, Joseph; Coutier-Delgosha, Olivier*.Wave Statistics and Energy Dissipation of Breaking Waves Generated by a Wave Plate Journal of Fluid Mechanics （ in press）
25. Ma, H., Yu, J., Dai, J. Li, C.*, Gao, X.*, MP-PIC modeling of fluidization behaviors of binary sand-plastic mixtures. Ind. & Eng. Chem. Res., 62, 40, 16456 – 16468. https://doi.org/10.1021/acs.iecr.3c02412
24. Ge, M., Zhou, H., Vaidheeswaran, A.*, Rogers, W., Fan, D., Li, C.*, Multi-scale experimental investigation on the fluidization of Geldart B 13X zeolite particles: A comprehensive dataset for CFD validation. Chem. Eng. J., 471, 144724. https://doi.org/10.1016/j.cej.2023.1447247
23. Qian, H., Yang, Z., Zhang, Z., Feng, J.*, Li C.*, Dilute Oil-in-water Emulsion Initiates Multiple Hole Formation and facilitates larger aerosol production During Bubble Bursting, Int. J. Multiph.Flow, 167, 104525. https://doi.org/10.1016/j.ijmultiphaseflow.2023.104525
22. Xu, X., Li, C., Gao, X.*, 2022. “Coarse-Grained DEM-CFD Simulation of Fluidization Behavior of Irregular Shape Sand Particles”. Ind. Eng. Chem. Res., 61, 25, 9099–9109. https://doi.org/10.1021/acs.iecr.2c00891.
21.Li., C.*, Gao, X.*, Rowan, S., Hughes, B., Rogers, W.A. , 2021. Measuring binary fluidization of non-spherical and spherical particles using machine learning aided image processing[J]. AICHE J. https://doi.org/10.1002/aic.17693
20. Lu, L*, Li, C.*, Rowan, S., Hughes, B., Gao, X., Shahnam, M., Rogers, W.A., 2021. Experiment and CFD Investigation of Biochar Elutriation in Fluidized Bed. AICHE J. https://doi.org/10.1002/aic.17506
19. Li, C., He, R., He, Z., Kumar, S., Fredericks, S., Hogan, C., Hong, J.*, 2021. Spatially-resolved characterization of oil-in-water emulsion sprays. Int. J. Multiph. Flow. 145, 103813.https://doi.org/10.1016/j.ijmultiphaseflow.2021.103813
18. Yu, J., Gao, X.*, Lu, L., Xu, Y., Li, C., Li, T., Rogers, WA, 2021. Validation of a filtered drag model for solid residence time distribution (RTD) prediction in a pilot-scale FCC riser. Powder Technol., 378, A, 339-347. https://doi.org/10.1016/j.powtec.2020.10.007
16. Li, C., Lim, K., Tim, B., Abraham, A., Hiesel, M., Guala, M., Coletti, F., Hong, J.*, 2021. Settling and Clustering of Snow Particles in Atmospheric Turbulence. J. Fluid Mech. 912, A49, 1-24. https://doi.org/10.1017/jfm.2020.1153
15. Gao, X.*, Yu, J., Lu, L., Li, C., Rogers, W. A., 2020. Development and validation of SuperDEM-CFD coupled model for simulating non-spherical particles hydrodynamics in fluidized beds. Chem. Eng. J. 127654. https://doi.org/10.1016/j.cej.2020.127654
14. Gao, X.*, Yu, J., Li, C., Panday, R., Xu, Y., Li, T., Ashfaq, H., Hughes, B., Rogers, W. A., 2020. Comprehensive experimental investigation on biomass-glass beads binary fluidization: A data set for CFD model validation. AIChE J. 66, e16843, 1–18. https://doi.org/10.1002/aic.16843
13. Li, C. *, Panday, R., Gao, X., Hong, J., Rogers, W.A., 2020. Measuring particle dynamics in a fluidized bed using digital in-line holography. Chem. Eng. J., 405, 126824. https://doi.org/10.1016/j.cej.2020.126824
12. Li, C., Abraham, A., Li, B., Hong, J. *, 2020. Incoming flow measurements of a utility-scale wind turbine using super-large-scale particle image velocimetry. J. Wind Eng. Ind. Aerodyn. 197, 104074. https://doi.org/10.1016/j.jweia.2019.104074
11. Shao, S., Li, C., Hong, J.*, 2019. A hybrid image processing method for measuring 3D bubble distribution using digital inline holography. Chem. Eng. Sci. 207, 929–941. https://doi.org/10.1016/j.ces.2019.07.009
10. Kumar, S.S., Li, C., Christen, C.E., Hogan, C.J., Fredericks, S.A., Hong, J.*, 2019. Automated droplet size distribution measurements using digital inline holography. J. Aerosol Sci. 137, 105442. https://doi.org/10.1016/j.jaerosci.2019.105442
9. Afshar-Mohajer, N., Li, C., Rule, A.M., Katz, J., Koehler, K.*, 2018. A laboratory study of particulate and gaseous emissions from crude oil and crude oil-dispersant contaminated seawater due to breaking waves. Atmos. Environ. 179, 177–186.https://doi.org/10.1016/j.atmosenv.2018.02.017
8. Wei, Z.*, Li, C.*, Dalrymple, R.A., Derakhti, M., Katz, J., 2018. Chaos in breaking waves. Coast. Eng. 140, 272–291. https://doi.org/10.1016/j.coastaleng.2018.08.001 (Corresponding author)
7. Li, C., Miller, J., Wang, J., Koley, S.S., Katz, J.*, 2017. Size Distribution and Dispersion of Droplets Generated by Impingement of Breaking Waves on Oil Slicks. J. Geophys. Res. Ocean. 122, 7938–7957.https://doi.org/10.1002/2017JC013193
6. Wei, Z.*, Shi, H., Li, C., Katz, J., Dalrymple, R., and Bilotta, G., 2016, “Behavior of Oil under Breaking Waves by a Two-phase SPH Model.” June 14-16, 2016. 11th international SPHERIC workshop, Munich, Germany. https://doi.org/10.48550/arXiv.1702.07760
5. Li, C., Katz, J.*, 2016. “Effects of Interfacial Tension and Viscosity on Droplets Formation by Breaking Waves Impinging on an Oil Slick.” May 22-27, 2016. 9th International Conference Multiphase Flow, Florence, Italy.
4. Murphy, D.*, Gemmell, B., Vaccari, L., Li, C., Bacosa, H., Evans, M., Gemmell, C., Harvey, T., Jalali, M., Niepa, T.H.R., 2016. An in-depth survey of the oil spill literature since 1968: Long term trends and changes since Deepwater Horizon. Mar. Pollut. Bull. 113, 371–379. https://doi.org/10.1016/j.marpolbul.2016.10.028
3. Nayak, A.R., Li, C., Kiani, B.T., Katz, J.*, 2015. On the wave and current interaction with a rippled seabed in the coastal ocean bottom boundary layer. J. Geophys. Res. C Ocean. 120, 4595–4624. https://doi.org/10.1002/2014JC010606
2. Murphy, D.W., Li, C., d’Albignac, V., Morra, D., Katz, J.*, 2015. Splash behaviour and oily marine aerosol production by raindrops impacting oil slicks. J. Fluid Mech. 780, 536–577. https://doi.org/10.1017/jfm.2015.431
1. Nayak, A.R., Li, C., Kiani, B.T., Katz, J.*, 2013. Wave-current and bottom topographical interactions in the coastal ocean bottom boundary layer. July 1-3, 2013, 10th International Symposium on Particle Image Velocimetry. Delft, Netherlands.
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