Lai Peng Chan

553 total citations
36 papers, 355 citations indexed

About

Lai Peng Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research and Surgery. According to data from OpenAlex, Lai Peng Chan has authored 36 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Management Science and Operations Research and 7 papers in Surgery. Recurrent topics in Lai Peng Chan's work include Radiation Dose and Imaging (8 papers), Simulation Techniques and Applications (8 papers) and Radiology practices and education (7 papers). Lai Peng Chan is often cited by papers focused on Radiation Dose and Imaging (8 papers), Simulation Techniques and Applications (8 papers) and Radiology practices and education (7 papers). Lai Peng Chan collaborates with scholars based in Singapore, United States and Ireland. Lai Peng Chan's co-authors include Peter L. Munk, Richard Gee, Ciarán Keogh, Bien Soo Tan, Kiang Hiong Tay, Alvin Yeo, Robert Chun Chen, Ban Hock Tan, Moi Lin Ling and Peter Lendermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Roentgenology.

In The Last Decade

Lai Peng Chan

32 papers receiving 340 citations

Peers

Lai Peng Chan
Comparison fields: 5 of 83
  • Surgery 100
  • Radiology, Nuclear Medicine and Imaging 83
  • Oncology 64
  • Management Science and Operations Research 42
  • Management Information Systems 38
Replace Min‐Huei Hsu with:
Min‐Huei Hsu Taiwan
Michael Frank United States
Young Min Kim South Korea
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Lin He China
Uwe Engelmann Germany
Ömer Soysal Türkiye
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Min‐Huei Hsu Taiwan View profile →
Citations per field, relative to Lai Peng Chan
Lai Peng Chan · 1×
Citations per year, relative to Lai Peng Chan
Lai Peng Chan · 1×

Countries citing papers authored by Lai Peng Chan

Since Specialization
Citations

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

Fields of papers citing papers by Lai Peng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lai Peng Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Lai Peng Chan. A scholar is included among the top collaborators of Lai Peng Chan 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 Lai Peng Chan. Lai Peng Chan 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
# Work Indexed citations
1 1
2 3
3 1
4 0
5 2
6 6
7 3
8 14
9 10
10 10
11 30
12 6
13 7
14 11
15 8
16 4
17 4
18 3
19 23
20 2

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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