Luan Ling Lee

613 citations
24 papers · 408 indexed · h-index 8

Impact in

Papers in

Luan Ling Lee

22 papers receiving 369 citations

Peers

Luan Ling Lee
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 306
  • Media Technology 87
  • Human-Computer Interaction 37
  • Signal Processing 69
  • Artificial Intelligence 119
Replace Thomas A. Nartker with:
Thomas A. Nartker United States
Jean-Yves Ramel France
WeiQi Yan Singapore
Patrice Y. Simard United States
S. Arumugam India
Nguyen Anh Tu South Korea
Hua Yan China
Guangnan Ye United States
Dongming Zhang China
Mahdi Jampour Iran
Luan Ling Lee relative to Thomas A. Nartker United States Thomas A. Nartker's profile →
Citations per field
00.5×3.7×
Thomas A. Nartker · 1×
Citations per year

Countries citing papers authored by Luan Ling Lee

Since Specialization
Citations

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

Fields of papers citing papers by Luan Ling Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Luan Ling Lee, 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 Luan Ling Lee Line = papers co-authored together Luan Ling Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20131
2 201017
3 200912
4 200925
5
A Neural Architecture Based on the Adaptive Resonant Theory and Recurrent Neural Networks
20076
6 20060
7 20062
8 20041
9 20042
10
Alocação Dinâmica de Taxa de Transmissão em Redes de Pacotes Utilizando Redes Neurais Recorrentes Treinadas com Algoritmos em Tempo Real
20034
11 20025
12 200210
13 20023
14 200213
15 20022
16 20021
17 19993
18 199723
19 1996259
20 19964

About Luan Ling Lee

Luan Ling Lee is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 24 papers that have together received 408 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (9 papers), Network Traffic and Congestion Control (7 papers), Vehicle License Plate Recognition (5 papers), Neural Networks and Applications (5 papers), Network Security and Intrusion Detection (4 papers), Complex Network Analysis Techniques (3 papers), Image Processing and 3D Reconstruction (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Media Technology (87 citations), Human-Computer Interaction (37 citations), Signal Processing (69 citations) and Artificial Intelligence (119 citations). Luan Ling Lee has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Thomas Berger, Flávio Henrique Teles Vieira, Alessandro L. Koerich, M.G. Lizarraga, João Baptista Tadanobu Yabu-uti and Luiz H. R. Sucupira. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Measurement, Journal of High Speed Networks, IEEE Latin America Transactions and International Journal of Pattern Recognition and Artificial Intelligence.

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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