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 journalpeer-review

Scopus citations: 3976

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: 2788

The consensus molecular subtypes of colorectal cancer

Guinney, J., Dienstmann, R., Wang, X., de Reynies, A., Schlicker, A., Soneson, C., Marisa, L., & 33 othersRoepman, 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 journalpeer-review

Scopus citations: 2629

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 journalpeer-review

Scopus citations: 2455

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: 2290
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News

Small molecule offers great therapeutic potential for restoring vision (16 Jan 2023)
Researchers at CityU have identified and demonstrated for the first time a therapeutic small molecule, M1, that can restore the visual function in the mammalian central nervous system, offering hope for patients with optic nerve damage such as glaucoma-related vision loss.

Novel electrocatalysts for hydrogen production offer hope for solving the energy crisis (14 Dec 2022)
Two efficient and inexpensive novel electrocatalysts for hydrogen production offering sustainable green solutions for the energy crisis have been developed by CityU.

New-generation antenna developed at CityU promotes 6G wireless communications (05 Dec 2022)
A research team led by Professor Chan Chi-hou, Acting Provost and Chair Professor of Electronic Engineering in the Department of Electrical Engineering at CityU, has developed a new-generation antenna that allows manipulation of the direction, frequency and amplitude of the radiated beam for enhancing 6th-generation wireless communications.

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.

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