Christopher P. Lee

778 citations
21 papers · 487 · h-index 11

Impact in

Papers in

Christopher P. Lee

21 papers receiving 449 citations

Peers

Christopher P. Lee
Comparison fields: 5 of 61
  • Signal Processing 187
  • Computer Networks and Communications 313
  • Artificial Intelligence 186
  • Information Systems 106
  • Biotechnology 31
Replace Shijie Zhang with:
Shijie Zhang Australia
Min Gyung Kang United States
Subramanian Arumugam India
Mads Dam Sweden
Usman Ali Pakistan
Haopei Wang United States
James J. McGregor United Kingdom
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Gordon A. Manson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Christopher P. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Christopher P. 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 Christopher P. Lee Line = papers co-authored together Christopher P. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007159
2 200348
3 201146
4 200942
5 200133
6 200025
7 201019
8
Recursive DNS Architectures and Vulnerability Implications.
200919
9 201116
10 200615
11 200712
12 20218
13 20078
14 20077
15 20107
16 19826
17
Dynamic Optimal Fragmentation with Rate Adaptation for Goodput Enhancement in WLANs.
20075
18 20075
19 20074
20 19992

About Christopher P. Lee

Christopher P. Lee is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering, having authored 21 papers that have together received 487 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Malware Detection Techniques (4 papers), Cooperative Communication and Network Coding (3 papers), Wireless Networks and Protocols (3 papers), Mobile Ad Hoc Networks (3 papers), Advanced Synthetic Organic Chemistry (2 papers) and IPv6, Mobility, Handover, Networks, Security (2 papers). The work is most often cited by research in Signal Processing (187 citations), Computer Networks and Communications (313 citations), Artificial Intelligence (186 citations), Information Systems (106 citations) and Biotechnology (31 citations). Christopher P. Lee has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Guofei Gu, David Dagon, Wenke Lee, Michael E. Jung, John A. Copeland, Seungwon Shin, Yusun Chang, Scott S. Harried, David C. Myles and Ge Yang. Their work appears in journals such as Tetrahedron Letters, The Journal of Organic Chemistry, IEEE Transactions on Education, Rural History and IEEE Journal on Selected Areas in Communications.

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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