| Particle production and equilibrium properties within a new hadron transport approach for heavy-ion collisions J Weil, V Steinberg, J Staudenmaier, LG Pang, D Oliinychenko, J Mohs, ... Physical Review C 94 (5), 054905, 2016 | 408 | 2016 |
| Effects of initial flow velocity fluctuation in event-by-event (3+ 1) D hydrodynamics L Pang, Q Wang, XN Wang Physical Review C—Nuclear Physics 86 (2), 024911, 2012 | 254 | 2012 |
| Global polarization in heavy-ion collisions from a transport model H Li, LG Pang, Q Wang, XL Xia Physical Review C 96 (5), 054908, 2017 | 235 | 2017 |
| Vortical Fluid and Spin Correlations in High-Energy Heavy-Ion Collisions LG Pang, H Petersen, Q Wang, XN Wang Physical Review Letters 117 (19), 192301, 2016 | 220 | 2016 |
| Colloquium: Machine learning in nuclear physics A Boehnlein, M Diefenthaler, N Sato, M Schram, V Ziegler, C Fanelli, ... Reviews of modern physics 94 (3), 031003, 2022 | 181 | 2022 |
| Polarization of massive fermions in a vortical fluid R Fang, L Pang, Q Wang, X Wang Physical Review C 94 (2), 024904, 2016 | 178 | 2016 |
| Shear-induced spin polarization in heavy-ion collisions B Fu, SYF Liu, L Pang, H Song, Y Yin Physical Review Letters 127 (14), 142301, 2021 | 165 | 2021 |
| Pseudorapidity distribution and decorrelation of anisotropic flow within the open-computing-language implementation CLVisc hydrodynamics LG Pang, H Petersen, XN Wang Physical Review C 97 (6), 064918, 2018 | 161 | 2018 |
| An equation-of-state-meter of quantum chromodynamics transition from deep learning LG Pang, K Zhou, N Su, H Petersen, H Stöcker, XN Wang Nature communications 9 (1), 210, 2018 | 161 | 2018 |
| Effects of jet-induced medium excitation in γ-hadron correlation in A+ A collisions W Chen, S Cao, T Luo, LG Pang, XN Wang Physics Letters B 777, 86-90, 2018 | 157 | 2018 |
| Microscopic study of deuteron production in PbPb collisions at via hydrodynamics and a hadronic afterburner D Oliinychenko, LG Pang, H Elfner, V Koch Physical Review C 99 (4), 044907, 2019 | 124 | 2019 |
| Interplaying mechanisms behind single inclusive jet suppression in heavy-ion collisions Y He, S Cao, W Chen, T Luo, LG Pang, XN Wang Physical Review C 99 (5), 054911, 2019 | 122 | 2019 |
| Local spin polarization in high energy heavy ion collisions HZ Wu, LG Pang, XG Huang, Q Wang Physical Review Research 1 (3), 033058, 2019 | 116 | 2019 |
| Regressive and generative neural networks for scalar field theory K Zhou, G Endrődi, LG Pang, H Stöcker Physical Review D 100 (1), 011501, 2019 | 108 | 2019 |
| The JETSCAPE framework JH Putschke, K Kauder, E Khalaj, A Angerami, SA Bass, S Cao, ... arXiv preprint arXiv:1903.07706, 2019 | 104 | 2019 |
| Multistage Monte Carlo simulation of jet modification in a static medium S Cao, C Park, RA Barbieri, SA Bass, D Bazow, J Bernhard, J Coleman, ... Physical Review C 96 (2), 024909, 2017 | 103 | 2017 |
| Decorrelation of anisotropic flow along the longitudinal direction LG Pang, H Petersen, GY Qin, V Roy, XN Wang The European Physical Journal A 52 (4), 97, 2016 | 102 | 2016 |
| Longitudinal decorrelation of anisotropic flows in heavy-ion collisions at the CERN Large Hadron Collider LG Pang, GY Qin, V Roy, XN Wang, GL Ma Physical Review C 91 (4), 044904, 2015 | 89 | 2015 |
| Analytical and numerical Gubser solutions of the second-order hydrodynamics LG Pang, Y Hatta, XN Wang, BW Xiao Physical Review D 91 (7), 074027, 2015 | 82 | 2015 |
| Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning YL Du, K Zhou, J Steinheimer, LG Pang, A Motornenko, HS Zong, ... The European Physical Journal C 80, 1-17, 2020 | 80 | 2020 |
