Lam Tran

555 citations
31 papers · 385 · h-index 11

Impact in

Papers in

Lam Tran

30 papers receiving 347 citations

Peers

Lam Tran
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 181
  • Computational Mathematics 5
  • Media Technology 72
  • Computer Graphics and Computer-Aided Design 10
  • Signal Processing 30
Replace Yuan Gong with:
Yuan Gong China
Chieteuk Ahn South Korea
S.L. Wood United States
Nikolaos Stamatopoulos Greece
ShahRukh Athar United States
Charith Abhayaratne United Kingdom
Chia-Po Wei Taiwan
Ganzhao Yuan China
Thorsten Herfet Germany
Lam Tran relative to Yuan Gong China Yuan Gong's profile →
Citations per field
00.5×10×15×
Yuan Gong · 1×
Citations per year

Countries citing papers authored by Lam Tran

Since Specialization
Citations

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

Fields of papers citing papers by Lam Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 202162
3 201650
4 202033
5 199528
6 201211
7 200811
8 202010
9 200210
10 200210
11 200210
12 20219
13 20099
14 20028
15 19958
16 20026
17 20026
18 20024
19 20024
20 20163

About Lam Tran

Lam Tran is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 31 papers that have together received 385 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (15 papers), Microwave Engineering and Waveguides (9 papers), Semiconductor Quantum Structures and Devices (6 papers), Photonic and Optical Devices (5 papers), Semiconductor Lasers and Optical Devices (5 papers), Gait Recognition and Analysis (4 papers), Biometric Identification and Security (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Computational Mathematics (5 citations), Media Technology (72 citations), Computer Graphics and Computer-Aided Design (10 citations) and Signal Processing (30 citations). Lam Tran has collaborated with scholars based in United States, Vietnam and South Korea. Frequent co-authors include Deokjai Choi, Thuc D. Nguyen, D.C. Streit, A.K. Oki, Thang Hoang, Hyunil Kim, Deguang Kong, Hongxia Jin, Ji Liu and K.W. Kobayashi. Their work appears in journals such as IEEE Access, Pattern Recognition, Journal of Crystal Growth, Experimental Biology and Medicine and Lecture notes in computer science.

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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