Brian Lee

5.6k citations
183 papers · 3.5k · 1 hit paper · h-index 31

Impact in

Papers in

Brian Lee

164 papers receiving 3.4k citations

Brian Lee's Hit Papers

A survey of modern deep learning based object detection models 2022 · 626 citations
6260+1+2Years since publication200400600

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 168
  • Information Systems 698
Replace Amit Konar with:
Amit Konar India
Gabriel‐Miro Muntean Ireland
Atulya K. Nagar United Kingdom
Ge Li China
Rynson W. H. Lau Hong Kong
Armin B. Cremers Germany
Yuansong Qiao Ireland
Jie Yang China
Stefan Wermter Germany
Xiangyang Xue China
Brian Lee relative to Amit Konar India Amit Konar's profile →
Citations per field
00.5×
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-authors

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

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of modern deep learning based object detection models
Hit paper breakdown →
2022626
2 2015155
3 2006154
4 2021139
5 2010128
6 2016107
7 2021106
8 202081
9 202176
10 200872
11 202171
12 202169
13 201667
14 201861
15 201860
16 201850
17 201449
18 202149
19 201349
20 202248

About Brian Lee

Brian Lee is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 183 papers that have together received 3.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (22 papers), Network Security and Intrusion Detection (18 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 (168 citations) and Information Systems (698 citations). Brian Lee has collaborated with scholars based in Ireland, United States and China. Frequent co-authors include Yuansong Qiao, Mohd. Samar Ansari, Mamoona Naveed Asghar, Nadia Kanwal, Claus Pahl, Saeed Hamood Alsamhi, Asra Aslam, Niall Murray, Scott Klemmer and Gabriel‐Miro Muntean. Their work appears in journals such as IEEE Access, Cornea, ACM Transactions on Multimedia Computing Communications and Applications, Journal of the Association for Information Systems and Computers & Security.

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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