Draft:John Qiang Gan
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Submission declined on 21 January 2026 by Somepinkdude (talk). This draft's references do not show that the person meets Wikipedia's criteria for inclusion for people. The draft requires multiple published secondary sources that:
Declined by Somepinkdude 8 months ago.
| |
This draft is not adequately supported by reliable sources. Wikipedia's verifiability policy requires that all content be supported by reliable sources.
This draft provides insufficient context for those unfamiliar with the subject. Please see the guide to writing better articles for how to improve your writing. Declined by Mcmatter 8 months ago. | |
Comment: Seems to fail WP:NACADEMIC. ✶Quxyz✶ (talk) 00:51, 7 April 2026 (UTC)
- Comment: If the subject is notable, you shouldn't need to source it to his own work to this extent. Somepinkdude (talk) 19:51, 21 January 2026 (UTC)
- Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Johnqgan (talk) 13:34, 15 January 2026 (UTC)
John Qiang Gan is a computer scientist at the University of Essex[1]. He holds a PhD degree in biomedical engineering and his research areas include machine learning, computer vision, robot control, pattern recognition, signal processing, and brain-computer interfaces. His research has been funded by EPSRC [2], EU FP7 [3], Innovate UK / KTP [4], The Royal Society [5], UKIERI / British Council, and industry. He has made significant contributions to his research areas [6][7][8] and his publications have been widely cited by many researchers around the world [9]. His recent research on AI models for skin cancer detection, contributed to a project funded by Innovate UK and Check4Cancer, won the AI in Health Award at the 2025 MedTech World's Global Conference [10]. He served as a member of the EPSRC Peer Review College [11], a member of the Data Science, Tools & Technology Advisory Group, Wellcome Trust [12], and an Associate Editor for IEEE Transactions on Cybernetics [13].
References
[edit]- ↑ https://www.essex.ac.uk/people/ganjo00207/john-gan
- ↑ "Engineering and Physical Sciences Research Council (EPSRC)". 2026-01-20. Retrieved 2026-01-27.
- ↑ "FP7". CORDIS | European Commission. Retrieved 2026-01-28.
- ↑ "Innovate UK". 2026-01-19. Retrieved 2026-01-27.
- ↑ "Welcome to the Royal Society | Royal Society". royalsociety.org. Retrieved 2026-01-27.
- ↑ Ju, Zhaojie; Liu, Jinguo; Huang, YongAn; Kubota, Naoyuki; Gan, John Q. (2020). "Neural networks and learning systems for human machine interfacing". Neurocomputing. 390: 196–197. doi:10.1016/j.neucom.2019.10.058. ISSN 0925-2312.
- ↑ Wang, Huiyang; Han, Hongfang; Gan, John Q.; Wang, Haixian (2025). "Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces". IEEE Journal of Biomedical and Health Informatics. 29 (2): 909–922. doi:10.1109/JBHI.2024.3463737. ISSN 2168-2208.
- ↑ Shao, Xinghan; Chang, C.; Gan, John Q.; Wang, Haixian (2025). "An Interpretable Contrastive Learning Transformer for EEG-Based Person Identification". IEEE Transactions on Information Forensics and Security. 20: 5069–5082. doi:10.1109/TIFS.2025.3570183. ISSN 1556-6021.
- ↑ "John Q Gan". scholar.google.co.uk. Retrieved 2026-01-27.
- ↑ "Your quick look at the big wins from the 2025 MedTech World Awards". MedTech World. Retrieved 2026-01-27.
- ↑ "Peer Review College – EPSRC". Retrieved 2026-01-27.
- ↑ "Data Sciences, Tools and Technology Discovery Advisory Group - Grant Funding". Wellcome. Retrieved 2026-01-27.
- ↑ "Transactions on Cybernetics". IEEE SMC. Retrieved 2026-01-27.
- provide significant coverage: discuss the person in detail, not brief mentions or interviews lacking independent analysis;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the person, such as interviews, press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.