Wu, Chieh-Hsi
University of Southampton
9 papers on CoChatORCID 0000-0001-9386-725X
Most cited papers
- Verified
BEAST 2: a software platform for Bayesian evolutionary analysis
Bouckaert, R., Heled, J., Kühnert, D., Vaughan, T., Wu, C.-H., Xie, D., Suchard, M. A., Rambaut, A., & Drummond, A. J. (2014) · PLoS Computational Biology
Genomics and Phylogenetic StudiesGenetic diversity and population structure
Cited by 6,527
- Verified
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis
Bouckaert, R., Vaughan, T. G., Barido-Sottani, J., Duchêne, S., Fourment, M., Gavryushkina, A., Heled, J., Jones, G., Kühnert, D., De Maio, N., et al. (2019) · PLOS Computational Biology
Genomics and Phylogenetic StudiesGenetic diversity and population structure
Cited by 4,556
- Verified
An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.
Tian, H., Liu, Y., Li, Y., Wu, C.-H., Chen, B., Kraemer, M. U. G., Li, B., Cai, J., Xu, B., Yang, Q., et al. (2020) · Science
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 2,010
- Verified
Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil
Faria, N. R., Mellan, T. A., Whittaker, C., Claro, I. M., Candido, D. D. S., Mishra, S., Crispim, M. A. E., Sales, F. C. S., Hawryluk, I., McCrone, J. T., et al. (2021) · Science
SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies
Cited by 1,461
- Verified
Establishment and cryptic transmission of Zika virus in Brazil and the Americas
Faria, N. R., Quick, J., Claro, I. M., Thézé, J., de Jesus, J. G., Giovanetti, M., Kraemer, M. U. G., Hill, S. C., Black, A., da Costa, A. C., et al. (2017) · Nature
Mosquito-borne diseases and controlViral Infections and Vectors
Cited by 616
- Verified
Evolution and epidemic spread of SARS-CoV-2 in Brazil
Candido, D. S., Claro, I. M., de Jesus, J. G., Souza, W. M., Moreira, F. R. R., Dellicour, S., Mellan, T. A., du Plessis, L., Pereira, R. H. M., Sales, F. C. S., et al. (2020) · Science
SARS-CoV-2 and COVID-19 ResearchCOVID-19 epidemiological studies
Cited by 573
- Verified
Epidemiological data from the COVID-19 outbreak, real-time case information
Xu, B., Gutierrez, B., Mekaru, S., Sewalk, K., Goodwin, L., Loskill, A., Cohn, E. L., Hswen, Y., Hill, S. C., Cobo, M. M., et al. (2020) · Scientific Data
COVID-19 epidemiological studiesData-Driven Disease Surveillance
Cited by 396
- Verified
Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
Sirinukunwattana, K., Domingo, E., Richman, S. D., Redmond, K. L., Blake, A., Verrill, C., Leedham, S. J., Chatzipli, A., Hardy, C., Whalley, C. M., et al. (2021) · Gut
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 264
- Verified
Genomic Epidemiology Reconstructs the Introduction and Spread of Zika Virus in Central America and Mexico
Thézé, J., Li, T., du Plessis, L., Bouquet, J., Kraemer, M. U. G., Somasekar, S., Yu, G., de Cesare, M., Balmaseda, A., Kuan, G., et al. (2018) · Cell Host & Microbe
Mosquito-borne diseases and controlViral Infections and Vectors
Cited by 106
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