The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where George K. Wong sits on this spectrum.
This scientist: 320 publications — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,163 publications or more.
The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where George K. Wong sits on this spectrum.
This scientist: 61 D-Index — 48th percentile
48% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 165 D-Index or more.
George K. Wong is affiliated with the Hong Kong University of Science and Technology in China and specializes in the field of Physics and Astronomy. Their research covers a range of topics within this broad domain, with significant contributions to Astronomy and Astrophysics, Nuclear and High Energy Physics, and Modeling and Simulation. Additional interests extend into General Health Professions and Public Health, Environmental and Occupational Health.
The scientist's main areas of work include Astrophysical Phenomena and Observations, Pulsars and Gravitational Waves Research, and Astrophysics and Cosmic Phenomena. They have also engaged in studies related to COVID-19 epidemiology and Mathematical and Theoretical Epidemiology and Ecology Models, alongside explorations of Galaxies: Formation, Evolution, Phenomena, and Hermeneutics and Narrative Identity.
George K. Wong has published extensively in a variety of venues, with the most frequent being:
Their published recent papers include:
Frequent research collaborators include:
The scope of George K. Wong's work spans theoretical and computational aspects of astrophysics, including black hole accretion modeling and electromagnetic signatures. Their interdisciplinary reach integrates astrophysical research with public health-related epidemiological modeling, reflecting a diverse scientific approach across multiple complex systems and phenomena.
Z. K. Tang;G. K. L. Wong;P. Yu;M. Kawasaki
Sunglae Cho;Jing Ma;Yunki Kim;Yi Sun
Owen R. Evans;Ren-Gen Xiong;Zhiyong Wang;George K. Wong
Lin Guo;Shihe Yang;Chunlei Yang;Ping Yu.
Hong-Tao He;Gan Wang;Tao Zhang;Iam Keong Sou
Hongbo Liao;Rongfu Xiao;Jishi Fu;Ping Yu
De Quan Li;Mark A. Ratner;Tobin J. Marks;Chong Hua Zhang
Chuangtian Chen;Zuyan Xu;Daoqun Deng;Jingyuan Zhang
A. Ohtomo;K. Tamura;M. Kawasaki;T. Makino
C. A. Hoffman;J. R. Meyer;F. J. Bartoli;A. Di Venere
Lin Guo;Shihe Yang;Chunlei Yang;Ping Yu.
Y. Segawa;A. Ohtomo;M. Kawasaki;H. Koinuma
H. B. Liao;R. F. Xiao;H. Wang;K. S. Wong
M. Kawasaki;A. Ohtomo;I. Ohkubo;H. Koinuma
P. Yu;Z.K. Tang;G.K.L. Wong;M. Kawasaki
Hilary L. Hampsch;Jian Yang;George K. Wong;John M. Torkelson
Wenbin Lin;Weiping Lin;George K. Wong;Tobin Jay Marks
Ali Dhinojwala;George K. Wong;John M. Torkelson
Sunglae Cho;Yunki Kim;Antonio DiVenere;George K. Wong;George K. Wong
Hilary L. Hampsch;Jian Yang;George K. Wong;John M. Torkelson
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