L. Chan

604 citations
34 papers · 470 indexed · h-index 12

L. Chan

32 papers receiving 453 citations

Peers

L. Chan
Comparison fields: 5 of 79
  • Atomic and Molecular Physics, and Optics 172
  • Electrical and Electronic Engineering 243
  • Obstetrics and Gynecology 21
  • Reproductive Medicine 19
  • Materials Chemistry 102
Replace Satoshi� Matsui with:
Satoshi� Matsui Japan
K Sakai Japan
A. Rivers United Kingdom
Frederic M. Durville United States
Emmanuel Amankwah United Kingdom
J Saurel France
Matjaž Lukač Slovenia
Kwang Taek Kim South Korea
Xuming Xiong China
K. Nakamura Japan
L. Chan relative to Satoshi� Matsui Japan Satoshi� Matsui's profile →
Citations per field
00.5×1.5×
Satoshi� Matsui · 1×
Citations per year

Countries citing papers authored by L. Chan

Since Specialization
Citations

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

Fields of papers citing papers by L. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside L. Chan, 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 L. Chan Line = papers co-authored together L. Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20222
3 20153
4 20151
5 20142
6
Numerical Simulation of Flow Field and Organism Concentration in a UV Disinfection Channel
20081
7 20073
8 20069
9 200512
10 200540
11 20046
12 200221
13 20017
14 200166
15 200150
16 200025
17 19996
18 199633
19 199529
20
Intrauterine growth curves of weight, length, and head circumference for a predominantly Hispanic infant population.
19957

About L. Chan

L. Chan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Obstetrics and Gynecology, Urology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 470 indexed citations. Recurring topics across this work include Semiconductor materials and interfaces (13 papers), Silicon and Solar Cell Technologies (7 papers), Semiconductor materials and devices (7 papers), Silicon Nanostructures and Photoluminescence (4 papers), Semiconductor Quantum Structures and Devices (3 papers), Nanowire Synthesis and Applications (3 papers), Inertial Sensor and Navigation (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (172 citations), Electrical and Electronic Engineering (243 citations), Obstetrics and Gynecology (21 citations), Reproductive Medicine (19 citations) and Materials Chemistry (102 citations). L. Chan has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include K. L. Pey, D. Mangelinck, Jun Ding, Pooi See Lee, Dongzhi Chi, Thomas G. Frazier, Lydia Helena Wong, E. Albert Reece, Christian Wong and Alan C. Thomas. Their work appears in journals such as Journal of Ultrasound in Medicine, IEEE Electron Device Letters, Thin Solid Films, Journal of The Electrochemical Society and Journal of Synchrotron Radiation.

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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