Ivan Lau

561 citations
10 papers · 368 · h-index 9

Impact in

Papers in

    • Anatomy and Medical Technology 9
    • Medical Imaging and Analysis 1
    • Surgical Simulation and Training 5
    • Cardiac and Coronary Surgery Techniques 4

Ivan Lau

10 papers receiving 365 citations

Peers

Ivan Lau
Comparison fields: 5 of 42
  • Health Informatics 14
  • Biomedical Engineering 291
  • Surgery 167
  • General Dentistry 6
  • Automotive Engineering 36
Replace Jasamine Coles‐Black with:
Jasamine Coles‐Black Australia
Ravindran Karuppiah Malaysia
Jane S. Matsumoto United States
Omar Thabit Canada
Mathias Markert Germany
Jae Woong Choi South Korea
Dmitry Levin United States
Yue‐Hin Loke United States
Takehiko Konno Japan
Jarosław Meyer-Szary Poland
Ivan Lau relative to Jasamine Coles‐Black Australia Jasamine Coles‐Black's profile →
Citations per field
00.5×
Jasamine Coles‐Black · 1×
Citations per year

Countries citing papers authored by Ivan Lau

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Lau. 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 Ivan Lau. The network helps show where Ivan Lau may publish in the future.

Co-authors

The 14 scholars most cited alongside Ivan Lau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan Lau Line = papers co-authored together Ivan Lau links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201893
2 201859
3 201952
4 202141
5 201938
6 201927
7 202222
8 202220
9 201715
10 19971

About Ivan Lau

Ivan Lau is a scholar working on Biomedical Engineering, Surgery, Epidemiology, Computer Vision and Pattern Recognition and Health Informatics, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (9 papers), Surgical Simulation and Training (5 papers), Cardiac and Coronary Surgery Techniques (4 papers), Congenital Heart Disease Studies (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Medical Imaging and Analysis (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Health Informatics (14 citations), Biomedical Engineering (291 citations), Surgery (167 citations), General Dentistry (6 citations) and Automotive Engineering (36 citations). Ivan Lau has collaborated with scholars based in Australia, Malaysia and Taiwan. Frequent co-authors include Zhonghua Sun, Ashu Gupta, Yin How Wong, Chai Hong Yeong, Lei Xu, Dongting Liu, Zhanming Fan, Abdul Rahman Ihdayhid, Yang Faridah Abdul Aziz and Nor Ashikin Md Sari. Their work appears in journals such as Journal of Clinical Medicine, Biomolecules, PLoS ONE, Reviews in Cardiovascular Medicine and Journal of Medical Radiation Sciences.

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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