Ho Hin Lee

633 total citations
30 papers, 210 citations indexed

About

Ho Hin Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Ho Hin Lee has authored 30 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Ho Hin Lee's work include Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (6 papers) and Advanced X-ray and CT Imaging (6 papers). Ho Hin Lee is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (6 papers) and Advanced X-ray and CT Imaging (6 papers). Ho Hin Lee collaborates with scholars based in United States, Germany and United Kingdom. Ho Hin Lee's co-authors include Bennett A. Landman, Yuankai Huo, Shunxing Bao, Yucheng Tang, Riqiang Gao, Richard G. Abramson, Leon Y. Cai, Camilo Bermudez, Thomas A. Lasko and Yunqiang Chen and has published in prestigious journals such as Nature Methods, Medical Physics and Medical Image Analysis.

In The Last Decade

Ho Hin Lee

26 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ho Hin Lee United States 8 108 89 64 43 26 30 210
Seyed Raein Hashemi United States 6 90 0.8× 99 1.1× 86 1.3× 30 0.7× 43 1.7× 7 242
Carlos Tor-Díez France 6 103 1.0× 127 1.4× 32 0.5× 28 0.7× 17 0.7× 7 242
Yassir Edrees Almalki Saudi Arabia 8 136 1.3× 50 0.6× 100 1.6× 35 0.8× 62 2.4× 32 258
Fatemeh Haghighi United States 6 140 1.3× 89 1.0× 134 2.1× 28 0.7× 25 1.0× 8 253
Juzheng Miao China 6 94 0.9× 105 1.2× 92 1.4× 41 1.0× 43 1.7× 9 224
Ahmed Sharafeldeen United States 13 366 3.4× 58 0.7× 85 1.3× 41 1.0× 31 1.2× 27 411
Amirali Molaei Iran 3 99 0.9× 90 1.0× 72 1.1× 44 1.0× 46 1.8× 5 238
Paul F. Jäger Germany 6 88 0.8× 65 0.7× 60 0.9× 33 0.8× 19 0.7× 18 188
Rijo Roy Germany 5 94 0.9× 78 0.9× 77 1.2× 37 0.9× 44 1.7× 6 225
Ivan Coronado United States 8 145 1.3× 84 0.9× 56 0.9× 58 1.3× 98 3.8× 12 330

Countries citing papers authored by Ho Hin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ho Hin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Hin Lee. 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 Ho Hin Lee. The network helps show where Ho Hin Lee may publish in the future.

Co-authorship network of co-authors of Ho Hin Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ho Hin Lee. A scholar is included among the top collaborators of Ho Hin Lee 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 Ho Hin Lee. Ho Hin Lee 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.
Usuyama, Naoto, et al.. (2025). Boltzmann Attention Sampling for Image Analysis with Small Objects. 25950–25959.
2.
Yu, Xin, Qi Yang, Yucheng Tang, et al.. (2024). Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization. Journal of Medical Imaging. 11(2). 24008–24008. 2 indexed citations
3.
Xu, Kaiwen, Ho Hin Lee, Shunxing Bao, et al.. (2024). Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation. PubMed. 12926. 45–45. 1 indexed citations
4.
Bao, Shunxing, Ho Hin Lee, Leon Y. Cai, et al.. (2024). Nucleus subtype classification using inter-modality learning. PubMed. 12933. 14–14. 1 indexed citations
5.
Yu, Xin, Yucheng Tang, Qi Yang, et al.. (2024). Enhancing hierarchical transformers for whole brain segmentation with intracranial measurements integration. PubMed. 12032. 18–18. 2 indexed citations
6.
Yao, Tianyuan, Leon Y. Cai, Ho Hin Lee, et al.. (2024). DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. Neuroinformatics. 22(2). 193–205. 3 indexed citations
7.
Xu, Kaiwen, Ho Hin Lee, Leon Y. Cai, et al.. (2023). Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. Lecture notes in computer science. 14221. 649–659. 8 indexed citations
8.
Lee, Ho Hin, Kaiwen Xu, Riqiang Gao, et al.. (2023). Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation. Journal of Medical Imaging. 10(4). 44002–44002.
9.
Lee, Ho Hin, Yucheng Tang, Shunxing Bao, et al.. (2023). Unsupervised registration refinement for generating unbiased eye atlas. PubMed. 12032. 77–77.
10.
Cai, Leon Y., Riqiang Gao, Ho Hin Lee, et al.. (2023). UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Analysis. 90. 102939–102939. 51 indexed citations
11.
Yang, Qi, Xin Yu, Ho Hin Lee, et al.. (2023). Single slice thigh CT muscle group segmentation with domain adaptation and self-training. Journal of Medical Imaging. 10(4). 44001–44001. 4 indexed citations
12.
Ramadass, Karthik, Shunxing Bao, Melissa Basford, et al.. (2022). Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. Journal of Digital Imaging. 35(4). 1023–1033. 7 indexed citations
13.
Yu, Xin, Yucheng Tang, Qi Yang, et al.. (2022). Accelerating 2D abdominal organ segmentation with active learning. PubMed. 12032. 120–120. 5 indexed citations
14.
Lee, Ho Hin, Yucheng Tang, Kaiwen Xu, et al.. (2022). Multi-contrast computed tomography healthy kidney atlas. Computers in Biology and Medicine. 146. 105555–105555. 4 indexed citations
15.
Bao, Shunxing, Yucheng Tang, Ho Hin Lee, et al.. (2022). Inpainting missing tissue in multiplexed immunofluorescence imaging. PubMed. 11601. 22–22.
16.
Lee, Ho Hin, Yucheng Tang, Shunxing Bao, et al.. (2022). Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. PubMed. 12032. 97–97. 2 indexed citations
17.
Bao, Shunxing, Yucheng Tang, Cody N. Heiser, et al.. (2021). A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data. PubMed. 11601. 5–5. 7 indexed citations
18.
Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2021). Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. PubMed. 11596. 42–42. 7 indexed citations
19.
Lee, Ho Hin, Yucheng Tang, Kaiwen Xu, et al.. (2021). Construction of a multi-phase contrast computed tomography kidney atlas. PubMed. 11596. 61–61. 3 indexed citations
20.
Tang, Yucheng, Riqiang Gao, Ho Hin Lee, et al.. (2020). Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. Lecture notes in computer science. 12445. 13–23. 11 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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