Khin Wee Lai

3.8k total citations
182 papers, 2.2k citations indexed

About

Khin Wee Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Khin Wee Lai has authored 182 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Biomedical Engineering and 36 papers in Artificial Intelligence. Recurrent topics in Khin Wee Lai's work include Radiomics and Machine Learning in Medical Imaging (19 papers), AI in cancer detection (19 papers) and Cardiac Valve Diseases and Treatments (12 papers). Khin Wee Lai is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), AI in cancer detection (19 papers) and Cardiac Valve Diseases and Treatments (12 papers). Khin Wee Lai collaborates with scholars based in Malaysia, China and India. Khin Wee Lai's co-authors include Yan Chai Hum, Samiappan Dhanalakshmi, Khairunnisa Hasikin‬, Eko Supriyanto, Belinda Pingguan‐Murphy, Azira Khalil, Yee Kai Tee, Joon Huang Chuah, Siew‐Cheok Ng and Maheza Irna Mohamad Salim and has published in prestigious journals such as ACS Nano, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Khin Wee Lai

167 papers receiving 2.1k citations

Peers

Khin Wee Lai

RNMI

CVPR

CCM

Shengli Li China

Vijaya B. Kolachalama United States

Miguel Á. González Ballester Spain

Michael Yeung United States

Sergio Casciaro Italy

Carmelo Militello Italy

Marina Codari Italy

Sharon Chen Taiwan

Samiappan Dhanalakshmi India

Akira Taguchi Japan

Shengli Li China

Khin Wee Lai

602 ×0.9

RNMI

204 ×0.4

816 ×2.0

490 ×1.2

CVPR

137 ×0.8

CCM

Citations per year, relative to Khin Wee Lai Khin Wee Lai (= 1×) peers Shengli Li

Countries citing papers authored by Khin Wee Lai

Since Specialization

Citations

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

Fields of papers citing papers by Khin Wee Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khin Wee Lai. 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 Khin Wee Lai. The network helps show where Khin Wee Lai may publish in the future.

Co-authorship network of co-authors of Khin Wee Lai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ning, Xin, Pengjiang Qian, Wenjun Hu, et al.. (2025). Distribution entropy regularized multimodal subspace support vector data description for anomaly detection. Pattern Recognition. 172. 112478–112478.

Lai, Khin Wee, et al.. (2025). Evaluating fine-tuned GPT models on different datasets in the healthcare domain. 12.

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2024). IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading. Expert Systems with Applications. 257. 124969–124969. 3 indexed citations

Hum, Yan Chai, Yee Kai Tee, Wun‐She Yap, et al.. (2024). Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging. Pattern Recognition. 161. 111316–111316. 1 indexed citations

Yap, Wun‐She, Yan Chai Hum, Khin Wee Lai, et al.. (2024). Impact of visual enhancement and color conversion algorithms on remote sound recovery from silent videos. Journal of the Society for Information Display. 32(3). 100–113.

Zhao, Zhen, Xiaowei Zuo, Joon Huang Chuah, et al.. (2024). Vision transformer-equipped Convolutional Neural Networks for automated Alzheimer's disease diagnosis using 3D MRI scans. Frontiers in Neurology. 15. 1490829–1490829. 1 indexed citations

Othmani, Alice, et al.. (2023). Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. Computer Methods and Programs in Biomedicine. 242. 107807–107807. 7 indexed citations

Lai, Khin Wee, et al.. (2023). Transfer learning-assisted 3D deep learning models for knee osteoarthritis detection: Data from the osteoarthritis initiative. Frontiers in Bioengineering and Biotechnology. 11. 1164655–1164655. 26 indexed citations

Khalil, Azira, et al.. (2023). Trimodality image registration of ultrasound, cardiac computed tomography, and magnetic resonance imaging for transcatheter aortic valve implantation and replacement image guidance. Health and Technology. 13(6). 925–936. 1 indexed citations

10.

Al-Ani, Ayman, Ahmed K. Al-Ani, Shams Ul Arfeen Laghari, et al.. (2022). NDPsec: Neighbor Discovery Protocol Security Mechanism. IEEE Access. 10. 83650–83663. 6 indexed citations

11.

Lai, Khin Wee, Joon Huang Chuah, Khairunnisa Hasikin‬, et al.. (2022). Machine Learning Application of Transcranial Motor-Evoked Potential to Predict Positive Functional Outcomes of Patients. Computational Intelligence and Neuroscience. 2022. 1–13. 10 indexed citations

12.

Hasikin‬, Khairunnisa, et al.. (2022). Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance. International Journal of Environmental Research and Public Health. 19(21). 13962–13962. 15 indexed citations

13.

Khalil, Azira, et al.. (2019). Carpal Bone Segmentation Using Fully Convolutional Neural Network. Current Medical Imaging Formerly Current Medical Imaging Reviews. 15(10). 983–989. 11 indexed citations

14.

Lai, Khin Wee, Yan Chai Hum, & Eko Supriyanto. (2012). Three dimensional nuchal translucency assessment using magnetic resonance reconstruction imaging. Journal of Scientific & Industrial Research. 71(3). 187–194. 1 indexed citations

15.

Supriyanto, Eko, et al.. (2011). Segmentation of prostate tumor for gamma image using region growing method. Annual Conference on Computers. 189–194. 3 indexed citations

16.

Hum, Yan Chai, Khin Wee Lai, & Eko Supriyanto. (2011). Edge detection in ultrasound images using speckle reducing anisotropic diffusion in canny edge detector framework. International Conference on Systems. 226–231. 11 indexed citations

17.

Hum, Yan Chai, et al.. (2011). Gray-level co-occurrence matrix bone fracture detection. WSEAS TRANSACTIONS on SYSTEMS archive. 10(1). 7–16. 21 indexed citations

18.

Lai, Khin Wee, Yan Chai Hum, & Eko Supriyanto. (2011). Three dimensional nuchal translucency ultrasound segmentation using region growing for trisomy 21 early assessment. International Journal of the Physical Sciences. 6(15). 3704–3710. 4 indexed citations

19.

Lai, Khin Wee, et al.. (2010). Automated trisomy 21 assessment based on maternal serum markers using trivariate lognormal distribution. WSEAS TRANSACTIONS on SYSTEMS archive. 9(8). 844–853. 2 indexed citations

20.

Lai, Khin Wee, et al.. (2010). Nuchal translucency marker detection based on artificial neural network and measurement via bidirectional iteration forward propagation. WSEAS Transactions on Information Science and Applications archive. 7(8). 1025–1036. 21 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.

Explore authors with similar magnitude of impact