Wookey Lee

1.1k total citations
68 papers, 561 citations indexed

About

Wookey Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Wookey Lee has authored 68 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Information Systems and 18 papers in Computer Networks and Communications. Recurrent topics in Wookey Lee's work include Data Management and Algorithms (15 papers), Web Data Mining and Analysis (14 papers) and Caching and Content Delivery (7 papers). Wookey Lee is often cited by papers focused on Data Management and Algorithms (15 papers), Web Data Mining and Analysis (14 papers) and Caching and Content Delivery (7 papers). Wookey Lee collaborates with scholars based in South Korea, Canada and India. Wookey Lee's co-authors include Suan Lee, Carson K. Leung, Justin Song, Buşra Özlü, Bong Sup Shim, Alfredo Cuzzocrea, Soo‐Bok Lee, Nidhi Arora, James Geller and Young‐Kuk Kim and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Wookey Lee

60 papers receiving 542 citations

Peers

Wookey Lee
Comparison fields: 5 of 100
  • Artificial Intelligence 226
  • Computer Vision and Pattern Recognition 153
  • Information Systems 128
  • Signal Processing 107
  • Computer Networks and Communications 84
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Citations per field, relative to Wookey Lee
Wookey Lee · 1×
Citations per year, relative to Wookey Lee
Wookey Lee · 1×

Countries citing papers authored by Wookey Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wookey Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wookey Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wookey Lee. A scholar is included among the top collaborators of Wookey Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wookey Lee. Wookey Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 6
4 1
5 2
6 18
7 5
8 28
9 3
10 17
11 6
12 4
13 8
14
Case Study on Patent Trend and Service Strategy: Mobile device Wireless Charging Technology
1
15
Face Recognition Model based on Angled Feature Vectors
2
16 6
17
An Effective Protection Mechanism for SSL Man-in-the-Middle Proxy Attacks
2
18
Goal-Based Knowledge Agent Approach for Ubiquitous Healthcare Services
0
19
Semantic Hierarchical Abstraction of Web Site Structures for Web Searchers
6
20
Visualization of Web Site Information with Semantic Weights.
1

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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