Fuk Tang

457 total citations
33 papers, 313 citations indexed

About

Fuk Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fuk Tang has authored 33 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fuk Tang's work include Medical Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Fuk Tang is often cited by papers focused on Medical Imaging and Analysis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Fuk Tang collaborates with scholars based in Hong Kong, China and United States. Fuk Tang's co-authors include Daniel H. K. Chow, Douglas K. S. Ng, Lawrence Chan, Alon Lai, C S Kwok, Cheng Xue, Wing Sum Siu, Andrew D. Holmes, Malcolm H. Pope and Anson C.M. Chau and has published in prestigious journals such as Spine, Physics in Medicine and Biology and Computers in Biology and Medicine.

In The Last Decade

Fuk Tang

30 papers receiving 302 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fuk Tang Hong Kong 10 118 98 84 49 41 33 313
Yunliang Cai United States 8 64 0.5× 134 1.4× 68 0.8× 65 1.3× 18 0.4× 20 290
Hamzaini Abdul Hamid Malaysia 11 109 0.9× 65 0.7× 44 0.5× 35 0.7× 27 0.7× 36 323
Andrew Makmur Singapore 12 223 1.9× 178 1.8× 45 0.5× 22 0.4× 30 0.7× 34 577
Mingyu Kim South Korea 7 184 1.6× 105 1.1× 35 0.4× 14 0.3× 17 0.4× 14 372
Mohamed Elsharkawy United States 13 334 2.8× 48 0.5× 31 0.4× 114 2.3× 31 0.8× 33 549
Asif Mazumder United Kingdom 9 63 0.5× 64 0.7× 24 0.3× 30 0.6× 16 0.4× 17 334
Andrea Lum Canada 9 182 1.5× 89 0.9× 37 0.4× 13 0.3× 18 0.4× 13 358
Marko Rak Germany 10 95 0.8× 124 1.3× 43 0.5× 14 0.3× 9 0.2× 21 246
Birgit Ertl‐Wagner Canada 9 152 1.3× 42 0.4× 39 0.5× 47 1.0× 29 0.7× 32 349
Saman Nouranian Canada 9 94 0.8× 72 0.7× 59 0.7× 14 0.3× 7 0.2× 13 237

Countries citing papers authored by Fuk Tang

Since Specialization
Citations

This map shows the geographic impact of Fuk Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fuk Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuk Tang more than expected).

Fields of papers citing papers by Fuk Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuk Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fuk Tang. The network helps show where Fuk Tang may publish in the future.

Co-authorship network of co-authors of Fuk Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Fuk Tang. A scholar is included among the top collaborators of Fuk Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fuk Tang. Fuk Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Fuk, Hui‐Li Wong, Peter Tsang, et al.. (2025). Recent advancements in lung cancer research: a narrative review. Translational Lung Cancer Research. 14(3). 975–990. 14 indexed citations
2.
Tang, Fuk, et al.. (2023). Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies. Journal of Digital Imaging. 36(3). 1081–1090. 13 indexed citations
3.
Tang, Fuk, et al.. (2023). Radiomics-Clinical AI Model with Probability Weighted Strategy for Prognosis Prediction in Non-Small Cell Lung Cancer. Biomedicines. 11(8). 2093–2093. 5 indexed citations
4.
Chau, Anson C.M., et al.. (2022). Radiomics-Based Artificial Intelligence Differentiation of Neurodegenerative Diseases with Reference to the Volumetry. Life. 12(4). 514–514. 13 indexed citations
5.
Xue, Cheng, Fuk Tang, Christopher Lai, Lars J. Grimm, & Joseph Y. Lo. (2021). Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change. Life. 11(8). 747–747. 5 indexed citations
6.
7.
Round, W. Howell, Kwan Hoong Ng, Kuppusamy Thayalan, et al.. (2018). AFOMP policy number 6: code of ethics for medical physicists in AFOMP Countries. Australasian Physical & Engineering Sciences in Medicine. 41(4). 809–810.
8.
Tang, Fuk. (2017). A multimodality image registration system in radiological science : with special consideration in clinical applications. PolyU Institutional Research Archive (Hong Kong Polytechnic University).
9.
10.
Round, W. Howell, Kwan Hoong Ng, Kuppusamy Thayalan, et al.. (2015). AFOMP Policy No 5: career progression for clinical medical physicists in AFOMP countries. Australasian Physical & Engineering Sciences in Medicine. 38(2). 217–221. 2 indexed citations
11.
Chow, Daniel H. K., Alon Lai, Fuk Tang, & Mason C.P. Leung. (2013). Effects of Panax ginseng-containing herbal plasters on compressed intervertebral discs in an in vivo rat tail model. Chinese Medicine. 8(1). 4–4. 4 indexed citations
12.
Round, W. Howell, Kwan Hoong Ng, Brendan Healy, et al.. (2012). AFOMP Policy Statement No. 4: recommendations for continuing professional development systems for medical physicists in AFOMP countries. Australasian Physical & Engineering Sciences in Medicine. 35(4). 393–397. 3 indexed citations
13.
Round, W. Howell, Kwan Hoong Ng, Brendan Healy, et al.. (2011). AFOMP Policy Statement No. 3: recommendations for the education and training of medical physicists in AFOMP countries. Australasian Physical & Engineering Sciences in Medicine. 34(3). 303–307. 10 indexed citations
14.
Tang, Fuk, Douglas K. S. Ng, & Daniel H. K. Chow. (2011). An image feature approach for computer-aided detection of ischemic stroke. Computers in Biology and Medicine. 41(7). 529–536. 78 indexed citations
15.
Lai, Alon, et al.. (2008). Effects of Static Compression With Different Loading Magnitudes and Durations on the Intervertebral Disc. Spine. 33(25). 2721–2727. 22 indexed citations
16.
Tang, Fuk, et al.. (2007). Computer-Generated Index for Evaluation of Idiopathic Scoliosis in Digital Chest Images: A Comparison with Digital Measurement. Journal of Digital Imaging. 21(S1). 113–120. 9 indexed citations
17.
Tang, Fuk, et al.. (2007). THE CALCULATION OF DOSE ENHANCEMENT CLOSE TO PLATINUM IMPLANTS FOR SKULL RADIOGRAPHY. Health Physics. 93(4). 267–272. 7 indexed citations
18.
Chan, Lawrence, et al.. (2004). International Internet-2 performance and automatic tuning protocol for medical imaging applications. Computerized Medical Imaging and Graphics. 29(2-3). 103–114. 3 indexed citations
19.
Tang, Fuk, et al.. (2001). A PACS and image informatics training. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 120–120. 3 indexed citations
20.
Kwok, C S, et al.. (2000). Monte Carlo simulation of x-ray spectra in mammography. Physics in Medicine and Biology. 45(5). 1309–1318. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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