Che–Rung Lee

57 papers receiving 369 citations

Peers

Che–Rung Lee
Comparison fields: 5 of 70
  • Computational Mathematics 8
  • Hardware and Architecture 82
  • Computer Networks and Communications 159
  • Computer Vision and Pattern Recognition 98
  • Information Systems 97
Replace José Ignacio Gómez with:
José Ignacio Gómez Spain
Sihuan Li United States
Qiang Zhou China
Guoping Long China
Sudarshan Srinivasan United States
Mingyu Yan China
Eliezer Dekel United States
Helmar Burkhart Switzerland
Oleksandr Zinenko United States
Kishore Kothapalli India
Che–Rung Lee relative to José Ignacio Gómez Spain José Ignacio Gómez's profile →
Citations per field
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José Ignacio Gómez · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201834
2 201129
3 201721
4 201920
5 201918
6 201017
7 201116
8 201315
9 201813
10 200211
11 201111
12 201210
13 201310
14 20118
15 20178
16 20168
17 20218
18
Analysis of the Residual Arnoldi Method
20078
19 20247
20
A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU
20137

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 62 papers that have together received 384 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (14 papers), Advanced Neural Network Applications (9 papers), Distributed and Parallel Computing Systems (8 papers), IoT and Edge/Fog Computing (7 papers), Matrix Theory and Algorithms (5 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Computational Mathematics (8 citations), Hardware and Architecture (82 citations), Computer Networks and Communications (159 citations), Computer Vision and Pattern Recognition (98 citations) and Information Systems (97 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, Chien‐Hung Chen, Shih‐Hsiang Lo, Zhaojun Bai, Wei‐Kuan Shih, Jiazheng Zhou, Yiyu Shi, Wei‐Chun Chen and Hao Yu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, SIAM Journal on Scientific Computing, Journal of Energy Storage, ACM Transactions on Modeling and Computer Simulation and ACM Transactions on Mathematical Software.

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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