Che–Rung Lee

592 citations
54 papers · 298 · h-index 10

Impact in

Papers in

Che–Rung Lee

48 papers receiving 285 citations

Peers

Che–Rung Lee
Comparison fields: 5 of 55
  • Hardware and Architecture 75
  • Computational Mathematics 6
  • Computer Networks and Communications 131
  • Information Systems 81
  • Signal Processing 32
Replace Raehyun Kim with:
Raehyun Kim South Korea
Vernon Austel United States
Xuechen Zhang United States
Dominique LaSalle United States
Peng Du China
Eliezer Dekel United States
Simon David Hammond United States
Riyadh Baghdadi United States
Neena Imam United States
José Ignacio Gómez Spain
Che–Rung Lee relative to Raehyun Kim South Korea Raehyun Kim's profile →
Citations per field
00.5×5.7×
Raehyun Kim · 1×
Citations per year

Countries citing papers authored by Che–Rung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Che–Rung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201831
2 201129
3 201720
4 201017
5 201917
6 201314
7 201113
8 20029
9 20119
10 20139
11 20118
12
Analysis of the Residual Arnoldi Method
20078
13 20128
14 20167
15
A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU
20137
16 20127
17 20176
18 20245
19 20185
20 20245

About Che–Rung Lee

Che–Rung Lee is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 298 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Advanced Data Storage Technologies (14 papers), Cloud Computing and Resource Management (13 papers), Distributed and Parallel Computing Systems (8 papers), IoT and Edge/Fog Computing (5 papers), Matrix Theory and Algorithms (5 papers), Interconnection Networks and Systems (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Hardware and Architecture (75 citations), Computational Mathematics (6 citations), Computer Networks and Communications (131 citations), Information Systems (81 citations) and Signal Processing (32 citations). Che–Rung Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yeh‐Ching Chung, I‐Hsin Chung, Shih‐Hsiang Lo, Zhaojun Bai, Chien‐Hung Chen, Yiyu Shi, Hao Yu, Jiazheng Zhou, Shih-Chieh Chang and Shufang Xu. Their work appears in journals such as ACM Transactions on Mathematical Software, Vehicular Communications, IEEE Access, Pattern Recognition and ACM Transactions on Modeling and Computer Simulation.

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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