Publications

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

2,462 authors, including, 2. A. I., Klionsky, D. J., Lu, Y. & Yue, J., 2016, In: Autophagy. 12, 1, p. 1-222

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Scopus citations: 3932

Surface modification of titanium, titanium alloys, and related materials for biomedical applications

Liu, X., Chu, P. K. & Ding, C., 24 Dec 2004, In: Materials Science and Engineering R: Reports. 47, 3-4, p. 49-121

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 62_Review of books or of software (or similar publications/items) › peer-review

Scopus citations: 2760

The consensus molecular subtypes of colorectal cancer

Guinney, J., Dienstmann, R., Wang, X., de Reynies, A., Schlicker, A., Soneson, C., Marisa, L. & 33 others, Roepman, P., Nyamundanda, G., Angelino, P., Bot, B. M., Morris, J. S., Simon, I. M., Gerster, S., Fessler, E., Melo, F. D. S. E., Missiaglia, E., Ramay, H., Barras, D., Homicsko, K., Maru, D., Manyam, G. C., Broom, B., Boige, V., Perez-Villamil, B., Laderas, T., Salazar, R., Gray, J. W., Hanahan, D., Tabernero, J., Bernards, R., Friend, S. H., Laurent-Puig, P., Medema, J. P., Sadanandam, A., Wessels, L., Delorenzi, M., Kopetz, S., Vermeulen, L. & Tejpar, S., 2015, In: Nature Medicine. 21, 11, p. 1350-1356

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Scopus citations: 2558

Bulk metallic glasses

Wang, W. H., Dong, C. & Shek, C. H., 1 Jun 2004, In: Materials Science and Engineering R: Reports. 44, 2-3, p. 45-89

Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

Scopus citations: 2428

Least Squares Generative Adversarial Networks

Mao, X., Li, Q., Xie, H., Lau, R. Y. K., Wang, Z. & Smolley, S. P., Oct 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Institute of Electrical and Electronics Engineers Inc., p. 2813-2821 8237566. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2017).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

Scopus citations: 2170
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News

CityU and Futian District People’s Government, Shenzhen sign MoU for collaboration (29 Nov 2022)
A MoU was signed between CityU and the Futian District People’s Government, Shenzhen on 29 November. The occasion marked a new milestone for the cooperation between CityU and the Futian District People’s Government in the Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone.

Smart Mask improves personal and public health by detecting breathing, coughing and speaking (31 Oct 2022)
Researchers at CityU have developed an Internet of Things Smart Mask integrating an ultrathin nanocomposite sponge structure-based soundwave sensor, which can detect and classify various respiratory sounds using deep learning, thus helping to improve personal and public health.

CityU Survey: Nearly 60% respondents prefer the “0+7” quarantine arrangement for inbound travellers (21 Sep 2022)
According to a survey conducted by CityU's Department of Media and Communication, most respondents prefer a reduction in the number of days required for inbound travellers to stay in quarantine hotels, with about 60% of respondents supporting the “0+7” model.

CityU secures research funding from the RGC to tackle the global public health threat from hypervirulent, multidrug-resistant pathogens (12 Jul 2022)
A research project led by a scholar at CityU received HK$38 million in research funding in the 12th round of the Theme-based Research Scheme under the Research Grants Council of the University Grants Committee for a five-year project.

Deep learning tool improves chicken welfare by identifying distress calls (11 Jul 2022)
A research team led by CityU has developed a deep learning model that can identify and quantify chicken distress calls from natural barn sounds with 97% accuracy. This breakthrough will help improve conditions and the welfare of chickens raised on crowded commercial farms.

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