46. Q Chen, H Li, X Zheng, A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth, Engineering with Computers, 1-111, 2024
45. N Filla, B Gu, J Hou, K Song, H Li, N Liu, X Wang, Hyperelasticity of Blood Clots: Bridging the Gap between Microscopic and Continuum Scales, Journal of the Mechanics and Physics of Solids 179, 105392, 2024
44. M Daneker, S Cai, Y Qian, E Myzelev, A Kumbhat, H Li, L Lu, Transfer Learning on Physics-Informed Neural Networks for Tracking the Hemodynamics in the Evolving False Lumen of Dissected Aorta, Nexus 2024, (Corresponding author, Highlighted on Cover).
43. S Wang, S Ma, H Li, M Dao, X Li, GE Karniadakis, Two-component macrophage model for active phagocytosis with pseudopod formation, Biophysical Journal 123 (9), 1069-1084, 2024, (Highlighted on Cover)
42. Y Zhang, Y Qiang, H Li, G Li, L Lu, M Dao, GE Karniadakis, AS Popel, C Zhao, Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease, PNAS nexus 3 (2), pgae031, 2024
41. G Li, Y Qiang, H Li, X Li, PA Buffet, M Dao, GE Karniadakis, A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell disease, PLOS Computational Biology 19 (12), e1011223, 2023 (Corresponding author)
40. Y Deng, H Li, Deep learning for few-shot white blood cell image classification and feature learning, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 18,6 2081-2091, 2023 (Corresponding author)
39. Q Gao, H Lin, J Qian, X Liu, S Cai, H Li, H Fan, Z Zheng, A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage, Engineering Applications of Artificial Intelligence 126, 107187, 2023 (Corresponding author)
38. Q Chen, Q Ye, W Zhang, H Li, X Zheng, TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling, Engineering Applications of Artificial Intelligence 126, 106867, 2023
37. L Lu, Y Qian, Q Zeng, H Li, A systematic study of the performance of machine learning models on analyzing the association between semen quality and environmental pollutants, Frontiers in Physics 11, 1259273, 2023 (Corresponding author)
36. N Filla, J Hou, H Li, X Wang, A multiscale framework for modeling fibrin fiber networks: Theory development and validation, Journal of the Mechanics and Physics of Solids 179, 105392,2023 (Corresponding author)
35. A Dorken-Gallastegi, Y Lee, G Li, H Li, L Naar, X Li, T Ye, E Van Cott, et al. Circulating cellular clusters are associated with thrombotic complications and clinical outcomes in COVID-19, Iscience 26 (7), 107202, 2023
34. G Li, Y Qiang, H Li, X Li, M Dao, GE Karniadakis, In silico and in vitro study of the adhesion dynamics of erythrophagocytosis in sickle cell disease, Biophysical Journal 122 (12), 2590-2604, 2023, (Highlighted on Cover) (Corresponding author)
33. G Zhu, S Modepalli, M Anand, H Li, Computational modeling of hypercoagulability in COVID-19, Computer Methods in Biomechanics and Biomedical Engineering 26 (3), 338-349, 2023 (Corresponding author)
32. E Javadi, H Li, AD Gallastegi, GH Frydman, S Jamali, GE Karniadakis, Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19, Biophysical Journal 121 (18), 3309-3319, 2023 (Corresponding author) (Highlighted on Cover)
31. Q Zhang, K Sampani, M Xu, S Cai, Y Deng, H Li, JK Sun, GE Karniadakis, AOSLO-net: a deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscopy images, Translational Vision Science & Technology 11 (8), 7-7, 2022
30. H Li, Y Deng, Z Li, A Dorken Gallastegi, CS Mantzoros, GH Frydman, G Karniadakis, Multiphysics and multiscale modeling of microthrombosis in COVID-19, PLOS Computational Biology 18 (3), e1009892, 2022
29. YX Deng, HY Chang, H Li, Recent advances in computational modeling of biomechanics and biorheology of red blood cells in diabetes, Biomimetics 7 (1), 15, 2022, (Highlighted on Cover) (Corresponding author)
28. H Li, Y Deng, K Sampani, S Cai, Z Li, JK Sun, GE Karniadakis, Computational investigation of blood cell transport in retinal microaneurysms, PLoS Computational Biology 18 (1), e1009728, 2022 (Highlighted on Cover)
27. ZL Liu, H Li, Y Qiang, P Buffet, M Dao, GE Karniadakis, Computational modeling of biomechanics and biorheology of heated red blood cells, Biophysical Journal 120 (21), 4663-4671, 2021 (Co-first author)
26. H Li, ZL Liu, L Lu, P Buffet, GE Karniadakis, How the spleen reshapes and retains young and old red blood cells: A computational investigation, PLoS Computational Biology 17 (11), e1009516, 2021
25. S Cai, H Li, F Zheng, F Kong, M Dao, GE Karniadakis, S Suresh, Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease, Proceedings of the National Academy of Sciences 118 (13), e2100697118, 2021 (Co-first author)
24. A Yazdani, Y Deng, H Li, E Javadi, Z Li, S Jamali, C Lin, JD Humphrey, G. Karniadakis, Integrating blood cell mechanics, platelet adhesive dynamics and coagulation cascade for modelling thrombus formation in normal and diabetic blood, Journal of the Royal Society Interface 18 (175), 20200834, 2021 (Co-first author)
23. H Li, K Sampani, X Zheng, DP Papageorgiou, A Yazdani, MO Bernabeu, et al. Predictive modelling of thrombus formation in diabetic retinal microaneurysms, Royal Society open science 7 (8), 201102, 2020
22. X Zheng, A Yazdani, H Li, JD Humphrey, GE Karniadakis, A three-dimensional phase-field model for multiscale modeling of thrombus biomechanics in blood vessels, PLoS computational biology 16 (4), e1007709, 2020
21. L Lu, Z Li, H Li, X Li, PG Vekilov, GE Karniadakis, Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies, Science Advances 5 (8), eaax3905, 2019 (Co-first author)
20. H Li, L Lu, X Li, PA Buffet, M Dao, GE Karniadakis, S Suresh, Mechanics of diseased red blood cells in human spleen and consequences for hereditary blood disorders, Proceedings of the National Academy of Sciences 115 (38), 9574-9579, 2018
19. L Lu, Y Deng, X Li, H Li, GE Karniadakis, Understanding the twisted structure of amyloid fibrils via molecular simulations, The Journal of Physical Chemistry B 122 (49), 11302-11310, 2018
18. H Li, DP Papageorgiou, HY Chang, L Lu, J Yang, Y Deng, Synergistic integration of laboratory and numerical approaches in studies of the biomechanics of diseased red blood cells, Biosensors 8 (3), 76, 2018
17. H Li, J Yang, TT Chu, R Naidu, L Lu, R Chandramohanadas, M Dao, G. Karniadakis, Cytoskeleton remodeling induces membrane stiffness and stability changes of maturing reticulocytes, Biophysical Journal 114 (8), 2014-2023, 2018 (Highlighted on BJ website)
16. A Yazdani, H Li, MR Bersi, P Di Achille, J Insley, JD Humphrey, G. Karniadakis, Data-driven modeling of hemodynamics and its role on thrombus size and shape in aortic dissections, Scientific reports 8 (1), 2515, 2018 (Co-first author)
15. H Li, HY Chang, J Yang, L Lu, YH Tang, G Lykotrafitis, Modeling biomembranes and red blood cells by coarse-grained particle methods, Applied Mathematics and Mechanics 39 (1), 3-20, 2018
14. L Lu, H Li, X Bian, X Li, GE Karniadakis, Mesoscopic adaptive resolution scheme toward understanding of interactions between sickle cell fibers, Biophysical Journal 113 (1), 48-59, 2017
13. YH Tang, L Lu, H Li, C Evangelinos, L Grinberg, V Sachdeva, et al. OpenRBC: A fast simulator of red blood cells at protein resolution, Biophysical journal 112 (10), 2030-2037, 2017 (Highlighted on BJ website)
12. Y Zhang, K Abiraman, H Li, DM Pierce, AV Tzingounis, G Lykotrafitis, Modeling of the axon membrane skeleton structure and implications for its mechanical properties, PLoS computational biology 13 (2), e1005407, 2017
11. X Li, H Li, HY Chang, G Lykotrafitis, GE Karniadakis, Computational biomechanics of human red blood cells in hematological disorders, Journal of biomechanical engineering 139 (2), 0210081, 2017
10. A Yazdani, H Li, JD Humphrey, GE Karniadakis, A general shear-dependent model for thrombus formation, PLoS computational biology 13 (1), e1005291, 2017 (Co-first author)
9. HY Chang, X Li, H Li, GE Karniadakis, MD/DPD multiscale framework for predicting morphology and stresses of red blood cells in health and disease, PLoS computational biology 12 (10), e1005173, 2016
8. H Li, Y Zhang, V Ha, G Lykotrafitis, Modeling of band-3 protein diffusion in the normal and defective red blood cell membrane, Soft matter 12 (15), 3643-3653, 2016
7. H Li, G Lykotrafitis, Vesiculation of healthy and defective red blood cells, Physical Review E 92 (1), 012715, 2015
6. H Li, G Lykotrafitis, Erythrocyte membrane model with explicit description of the lipid bilayer and the spectrin network, Biophysical journal 107 (3), 642-653, 2014
5. D Sumner, H Li, Wake interference effects for two surface-mounted finite cylinders in a tandem configuration, Pressure Vessels and Piping Conference 46018, V004T04A007, 2014
4. H Li, V Ha, G Lykotrafitis, Modeling sickle hemoglobin fibers as one chain of coarse-grained particles, Journal of biomechanics 45 (11), 1947-1951, 2012
3. H Li, G Lykotrafitis, Two-component coarse-grained molecular-dynamics model for the human erythrocyte membrane, Biophysical journal 102 (1), 75-84, 2012 (Highlighted on Cover)
2. H Li, G Lykotrafitis, A coarse-grain molecular dynamics model for sickle hemoglobin fibers, Journal of the mechanical behavior of biomedical materials 4 (2), 162-173, 2011
- H Li, D Sumner, Vortex shedding from two finite circular cylinders in a staggered configuration, Journal of Fluids and Structures 25 (3), 479-505, 2009