Li Kuo Tan

1.3k total citations · 1 hit paper
63 papers, 874 citations indexed

About

Li Kuo Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Neurology. According to data from OpenAlex, Li Kuo Tan has authored 63 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biomedical Engineering and 10 papers in Neurology. Recurrent topics in Li Kuo Tan's work include Advanced MRI Techniques and Applications (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Li Kuo Tan is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Cardiac Imaging and Diagnostics (7 papers). Li Kuo Tan collaborates with scholars based in Malaysia, China and Australia. Li Kuo Tan's co-authors include Yih Miin Liew, Einly Lim, Robert A. McLaughlin, Jeannie Hsiu Ding Wong, Norlisah Ramli, Ngie Min Ung, Che Ahmad Azlan, Kartini Rahmat, Christina Phoay Lay Tan and Chai Hong Yeong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Li Kuo Tan

52 papers receiving 843 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia

2020 196 citations Che Ahmad Azlan, Jeannie Hsiu Ding Wong et al. Physica Medica profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Li Kuo Tan Malaysia	13	434	253	137	124	79	63	874
Chia‐Ju Liu Taiwan	13	396 0.9×	94 0.4×	21 0.2×	38 0.3×	77 1.0×	39	701
Baek Hwan Cho South Korea	18	247 0.6×	176 0.7×	123 0.9×	8 0.1×	24 0.3×	50	1.1k
Atalie C. Thompson United States	24	1.4k 3.1×	148 0.6×	26 0.2×	37 0.3×	135 1.7×	97	2.0k
Alexander Winkler-Schwartz Canada	19	145 0.3×	633 2.5×	160 1.2×	22 0.2×	43 0.5×	47	1.4k
Nykan Mirchi Canada	13	128 0.3×	337 1.3×	110 0.8×	18 0.1×	12 0.2×	17	934
Recai Yilmaz Canada	12	123 0.3×	307 1.2×	97 0.7×	20 0.2×	10 0.1×	29	863
Reza Karimi United States	16	62 0.1×	90 0.4×	35 0.3×	145 1.2×	80 1.0×	37	752
Craig Engstrom Australia	18	152 0.4×	474 1.9×	67 0.5×	86 0.7×	8 0.1×	70	1.1k
Nicole Ledwos Canada	14	123 0.3×	341 1.3×	105 0.8×	18 0.1×	10 0.1×	20	997
Matthew Lee United States	11	221 0.5×	53 0.2×	38 0.3×	12 0.1×	36 0.5×	39	1.1k

Countries citing papers authored by Li Kuo Tan

Since Specialization

Citations

This map shows the geographic impact of Li Kuo Tan'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 Li Kuo Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Kuo Tan more than expected).

Fields of papers citing papers by Li Kuo Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li Kuo Tan. 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 Li Kuo Tan. The network helps show where Li Kuo Tan may publish in the future.

Co-authorship network of co-authors of Li Kuo Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Li Kuo Tan. A scholar is included among the top collaborators of Li Kuo Tan 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 Li Kuo Tan. Li Kuo Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tan, Li Kuo, et al.. (2025). Implementation of remote and automated quality control programme for digital imaging: A single centre experience. Radiation Physics and Chemistry. 236. 112897–112897.

Chow, Li Sze, et al.. (2024). Diagnosing Optic Neuritis in Neuromyelitis Optica Spectrum Disorders (NMOSD) Using 6 Machine Learning Models with MRI. SN Computer Science. 5(8).

Shah, Mohammad Nazri Md, et al.. (2024). Automatic localization of anatomical landmarks in head cine fluoroscopy images via deep learning. Medical Physics. 51(10). 7191–7205. 1 indexed citations

Narayanan, Vairavan, et al.. (2024). A novel application of neurite orientation dispersion and density imaging to differentiate cognitively recovered versus non-recovered following mild traumatic brain injury. Neurology Asia. 29(4). 1141–1154. 1 indexed citations

Zhu, Yaowu, Li Kuo Tan, Danju Luo, & Xiong Wang. (2024). Identification and Validation of T-Cell Exhaustion Signature for Predicting Prognosis and Immune Response in Pancreatic Cancer by Integrated Analysis of Single-Cell and Bulk RNA Sequencing Data. Diagnostics. 14(6). 667–667. 3 indexed citations

Tan, Li Kuo, et al.. (2023). Efficient Autonomous Lumen Segmentation in Intravascular Optical Coherence Tomography Images: Unveiling the Potential of Polynomial-Regression Convolutional Neural Network. IRBM. 45(1). 100814–100814. 1 indexed citations

Chow, Li Sze, et al.. (2023). Review of Magnetic Resonance Imaging and Post-processing for the BrainTumor-related Epilepsy Study. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20. 1 indexed citations

Ke, Zun‐Ping, Chao Li, Gang Bai, et al.. (2023). KCNH2 mutation c.3099_3112del causes congenital long QT syndrome type 2 with gender differences. Clinics. 78. 100285–100285.

Wong, Jeannie Hsiu Ding, et al.. (2023). A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images. Journal of Digital Imaging. 36(4). 1533–1540. 4 indexed citations

10.

Chow, Li Sze, et al.. (2022). Bicubic Interpolation and Gradient-based Edge Detection with Skeletonization Segmentation (Bicubic-GES) on MR Optic Nerve Images for Examining NMOSD. 27. 404–408.

11.

Chen, Xueqi, Xiaoqian Zhang, Jiahui Zhang, et al.. (2022). Evaluation of the diagnostic performance of the EFSUMB CEUS Pancreatic Applications guidelines (2017 version): a retrospective single-center analysis of 455 solid pancreatic masses. European Radiology. 32(12). 8485–8496. 5 indexed citations

12.

Wong, Jeannie Hsiu Ding, Li Kuo Tan, Wai Yee Chan, et al.. (2021). Preliminary study of longitudinal changes in the pituitary and brain of children on growth hormone therapy. Journal of Neuroradiology. 50(2). 271–277. 3 indexed citations

13.

Sari, Nor Ashikin Md, Bee Teng Chew, Li Kuo Tan, et al.. (2020). Phenotyping of hypertensive heart disease and hypertrophic cardiomyopathy using personalized 3D modelling and cardiac cine MRI. Physica Medica. 78. 137–149. 4 indexed citations

14.

Azlan, Che Ahmad, Jeannie Hsiu Ding Wong, Li Kuo Tan, et al.. (2020). Teaching and learning of postgraduate medical physics using Internet-based e-learning during the COVID-19 pandemic – A case study from Malaysia. Physica Medica. 80. 10–16. 196 indexed citations breakdown →

15.

Narayanan, Vairavan, Norlisah Ramli, Li Kuo Tan, et al.. (2019). Randomised controlled clinical trial of a structured cognitive rehabilitation in patients with attention deficit following mild traumatic brain injury: study protocol. BMJ Open. 9(9). e028711–e028711. 2 indexed citations

16.

Narayanan, Vairavan, Norlisah Ramli, Vigneswaran Veeramuthu, et al.. (2018). A preliminary report on the effect of cognitive rehabilitation therapy in improving cognitive function of attention following mild traumatic brain injury: A randomised controlled trial. Annals of Physical and Rehabilitation Medicine. 61. e41–e41. 1 indexed citations

17.

Veeramuthu, Vigneswaran, Li Kuo Tan, Mahmoud Danaee, et al.. (2018). The effect of early cognitive therapy in improving cognitive functions using neuropsychology and diffusion tensor imaging measurements following mild traumatic brain injury: A pilot study. Annals of Physical and Rehabilitation Medicine. 61. e41–e41. 1 indexed citations

18.

Tan, Li Kuo, Yih Miin Liew, Einly Lim, & Robert A. McLaughlin. (2017). Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine MR sequences. Medical Image Analysis. 39. 78–86. 118 indexed citations

19.

Ramli, Norlisah, et al.. (2012). Quantification of diffusion tensor imaging in normal white matter maturation of early childhood using an automated processing pipeline. European Radiology. 22(7). 1413–1426. 15 indexed citations

20.

Zhao, Liqin, He Wen, Jianying Li, et al.. (2011). Improving image quality in portal venography with spectral CT imaging. European Journal of Radiology. 81(8). 1677–1681. 80 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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