Lih-Hsing Hsu

21 papers receiving 330 citations

Peers

Lih-Hsing Hsu
Comparison fields: 5 of 37
  • Computer Networks and Communications 323
  • Electrical and Electronic Engineering 155
  • Hardware and Architecture 110
  • Computational Theory and Mathematics 88
  • Geometry and Topology 66
Replace Mujiangshan Wang with:
Mujiangshan Wang China
Hong-Chun Hsu Taiwan
Pao-Lien Lai Taiwan
Toru Araki Japan
Yuxing Yang China
Chin-Wen Ho Taiwan
Sabine R. Öhring United States
Anand Tripathi United States
Jiafei Liu China
Mei-Mei Gu China
Lih-Hsing Hsu relative to Mujiangshan Wang China Mujiangshan Wang's profile →
Citations per field
00.5×1.5×
Mujiangshan Wang · 1×
Citations per year

Countries citing papers authored by Lih-Hsing Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Lih-Hsing Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lih-Hsing Hsu. 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 Lih-Hsing Hsu. The network helps show where Lih-Hsing Hsu may publish in the future.

Co-authorship network of co-authors of Lih-Hsing Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Lih-Hsing Hsu. A scholar is included among the top collaborators of Lih-Hsing Hsu 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 Lih-Hsing Hsu. Lih-Hsing Hsu 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
#WorkIndexed citations
1 3
2 3
3 10
4 166
5 8
6
The Diagnosability of g-good-neighbor Conditional-Faulty Hypercube under PMC Model
5
7 2
8 2
9 0
10 5
11 1
12 8
13 2
14 0
15
Extended Tree Contraction for Some parallel Algorithms on Series-Parallel Networks.
1
16
Maximum and Minimum Matchings for Seriew-Parallel Networks.
3
17 1
18
DATA STRUCTURE FOR GRAPH REPRESENTATIONS OF A NETWORK HAVING DOUBLE EULER TRAILS
1
19 2
20 2

About Lih-Hsing Hsu

Lih-Hsing Hsu is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 24 papers that have together received 348 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (17 papers), Advanced Graph Theory Research (11 papers) and VLSI and FPGA Design Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (110 citations), Computer Networks and Communications (323 citations) and Geometry and Topology (66 citations). Lih-Hsing Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jimmy J.M. Tan, Cheng‐Kuan Lin, Ting‐Yi Sung, Chien-Ping Chang, Tzu-Liang Kung, Chun‐Yuan Lin, D. Frank Hsu, Yeong‐Nan Yeh, Eddie Cheng and László Lipták. Their work appears in journals such as Computers & Industrial Engineering, Applied Mathematics and Computation and IEEE Transactions on Parallel and Distributed Systems.

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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