The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wei-keng Liao sits on this spectrum.
This scientist: 222 publications — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wei-keng Liao sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Wei-keng Liao is affiliated with Northwestern University in the United States. Their research primarily spans the fields of Engineering, Computer Science, and Materials Science, with a focus on subfields such as Materials Chemistry, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Mechanical Engineering.
The scientist's work addresses topics including Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems, Computational Drug Discovery Methods, Electron and X-Ray Spectroscopy Techniques, and Parallel Computing and Optimization Techniques.
Frequent publication venues for Wei-keng Liao include arXiv (Cornell University), Scientific Reports, Microscopy and Microanalysis, Journal of Physics Conference Series, and Nature Communications. The scientist has produced a considerable number of publications in these venues, with the highest counts in arXiv and Scientific Reports.
Among notable recent publications are:
Wei-keng Liao frequently collaborates with several co-authors, including Ankit Agrawal, Alok Choudhary, Vishu Gupta, Kamal Choudhary, and Yuwei Mao. These collaborations reflect interdisciplinary work that integrates expertise in computational methods and materials science.
Ying Liu;Wei-keng Liao;Alok Choudhary
J. H. Chen;A. Choudhary;B. De Supinski;M. Devries
Ying Liu;Wei-keng Liao;Alok Choudhary
Jianwei Li;Wei-keng Liao;Alok Choudhary;Robert Ross
Dipendra Jha;Logan Ward;Arindam Paul;Wei-Keng Liao
Zijiang Yang;Yuksel C. Yabansu;Reda Al-Bahrani;Wei keng Liao
Dipendra Jha;Kamal Choudhary;Francesca Tavazza;Wei keng Liao
Salman Habib;Adrian Pope;Hal Finkel;Nicholas Frontiere;Nicholas Frontiere
Md. Mostofa Ali Patwary;Diana Palsetia;Ankit Agrawal;Wei-keng Liao
Zijiang Yang;Yuksel C. Yabansu;Dipendra Jha;Wei keng Liao
Alok Choudhary;William Hendrix;Kathy Lee;Diana Palsetia
Wei-keng Liao;Alok Choudhary
Vishu Gupta;Kamal Choudhary;Francesca Tavazza;Carelyn Campbell
Arifa Nisar;Wei-keng Liao;Alok Choudhary
Avery Ching;A. Choudhary;Wei-keng Liao;R. Ross
A. Ching;A. Choudhary;K. Coloma;Wei-keng Liao
Bharath Pattabiraman;Md. Mostofa Ali Patwary;Assefaw Hadish Gebremedhin;Wei-keng Liao
Bharath Pattabiraman;Stefan Umbreit;Wei-Keng Liao;Alok Nidhi Choudhary
Wei-keng Liao;K. Coloma;A. Choudhary;L. Ward
Kunpeng Zhang;Yu Cheng;Wei-keng Liao;Alok Choudhary
Ramanan Sankaran;J. Mellor-Crummy;M. DeVries;Chun Sang Yoo
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