Brian Lee

5.5k citations
182 papers · 3.4k indexed · 1 hit paper · h-index 30

Brian Lee

161 papers receiving 3.3k citations

Hit Papers

A survey of modern deep learning based object detection m...6002022202620232024200400600

Peers

Brian Lee
Comparison fields: 5 of 170
  • Human-Computer Interaction 342
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Networks and Communications 1.0k
  • Sensory Systems 166
  • Information Systems 693
Replace Amit Konar with:
Amit Konar India
Gabriel‐Miro Muntean Ireland
Atulya K. Nagar United Kingdom
Yuansong Qiao Ireland
Rynson W. H. Lau Hong Kong
Armin B. Cremers Germany
Ge Li China
Lina Yao Australia
Jie Yang China
Stefan Wermter Germany
Brian Lee relative to Amit Konar India Amit Konar's profile →
Citations per field
00.5×2.8×
Amit Konar · 1×
Citations per year

Countries citing papers authored by Brian Lee

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 20240
5 20240
6 20239
7 202243
8 202229
9 202149
10 202137
11 202115
12 202011
13 202027
14 202018
15 20193
16
Comparative Study of Deep Learning Models for Network Intrusion Detection
201834
17
An Approach of Reinforcement Learning Based Lighting Control for Demand Response
20163
18
Making Sense of "Moral Rights" in Intellectual Property
20113
19
Benefit assessment and quantification of electronic screening at truck weigh stations
20092
20
The thirties : politics and culture in a time of broken dreams
19872

About Brian Lee

Brian Lee is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, Information Systems and Sensory Systems, having authored 182 papers that have together received 3.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Network Security and Intrusion Detection (17 papers), Caching and Content Delivery (15 papers), Image and Video Quality Assessment (14 papers), Advanced Steganography and Watermarking Techniques (11 papers), Blockchain Technology Applications and Security (11 papers), Modular Robots and Swarm Intelligence (10 papers) and Chaos-based Image/Signal Encryption (10 papers). The work is most often cited by research in Human-Computer Interaction (342 citations), Computer Vision and Pattern Recognition (1.1k citations), Computer Networks and Communications (1.0k citations), Sensory Systems (166 citations) and Information Systems (693 citations). Brian Lee has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Yuansong Qiao, Mohd. Samar Ansari, Nadia Kanwal, Mamoona Naveed Asghar, Claus Pahl, Saeed Hamood Alsamhi, Asra Aslam, Niall Murray, Scott Klemmer and Gabriel‐Miro Muntean. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems, Multimedia Tools and Applications, Future Generation Computer Systems and Cornea.

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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