Kevin Lee

10.1k citations
312 papers · 6.0k · 2 hit papers · h-index 41

Impact in

Papers in

Kevin Lee

282 papers receiving 5.7k citations

Kevin Lee's Hit Papers

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective 2018 · 342 citations
3420+5+10Years since publication100200300400

Peers

Kevin Lee
Comparison fields: 5 of 194
  • Computer Networks and Communications 1.5k
  • Information Systems 1.2k
  • Transportation 253
  • Condensed Matter Physics 442
  • Control and Systems Engineering 825
Replace Honggang Wang with:
Honggang Wang United States
Tai-hoon Kim South Korea
Kuan Zhang China
Massimo Marchiori Italy
Jiangchuan Liu Canada
Hongnian Yu United Kingdom
Ruili Wang New Zealand
Edward Yi Chang Taiwan
Pan Zhou China
Jinghong Li Japan
Kevin Lee relative to Honggang Wang United States Honggang Wang's profile →
Citations per field
00.5×1.5×2.1×
Honggang Wang · 1×
Citations per year

Countries citing papers authored by Kevin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 312 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Empirical prediction models for adaptive resource provisioning in the cloud
Hit paper breakdown →
2011461
2
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
Hit paper breakdown →
2018342
3
Traffic signal timing manual.
2008259
4 2008211
5 2008133
6 2015125
7 2015124
8 2014112
9 2019107
10 2012106
11 202095
12
Data Consistency Properties and the Trade-offs in Commercial Cloud Storages: the Consumers' Perspective
201185
13 201683
14 201582
15 199079
16 200574
17 201074
18 198773
19 201372
20 198769

About Kevin Lee

Kevin Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 312 papers that have together received 6.0k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (41 papers), Cloud Computing and Resource Management (30 papers), IoT and Edge/Fog Computing (27 papers), Electric Motor Design and Analysis (27 papers), Sensorless Control of Electric Motors (26 papers), GaN-based semiconductor devices and materials (18 papers), Microgrid Control and Optimization (16 papers) and Advanced DC-DC Converters (15 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Information Systems (1.2k citations), Transportation (253 citations), Condensed Matter Physics (442 citations) and Control and Systems Engineering (825 citations). Kevin Lee has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Anna Liu, Jacky Keung, Wenxi Yao, Zhengyu Lü, Debdeep Jena, Huili Grace Xing, Alan Fekete, Thomas M. Jahns, David Murray and Dipendra Misra. Their work appears in journals such as IEEE Transactions on Industry Applications, Brain Research, Cancer Research, Electronics and Sensors.

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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