Chun-Hsi Huang
- Molecular Biology
- Artificial Intelligence top 10%
- Genetics
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Chih LeeSanguthevar RajasekaranSudha BallaJun NiVishal ThaparMartin R. SchillerMichael R. GrykMark W. Maciejewski
- Topics
- Genomics and Phylogenetic Studies (16 papers)Algorithms and Data Compression (13 papers)Genomics and Chromatin Dynamics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United StatesTaiwanSaudi Arabia
In The Last Decade
Chun-Hsi Huang
55 papers receiving 672 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 428
- Artificial Intelligence 116
- Genetics 95
- Computer Networks and Communications 69
- Electrical and Electronic Engineering 57
Countries citing papers authored by Chun-Hsi Huang
This map shows the geographic impact of Chun-Hsi Huang'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 Chun-Hsi Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Hsi Huang more than expected).
Fields of papers citing papers by Chun-Hsi Huang
This network shows the impact of papers produced by Chun-Hsi Huang. 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 Chun-Hsi Huang. The network helps show where Chun-Hsi Huang may publish in the future.
Co-authorship network of co-authors of Chun-Hsi Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Hsi Huang. A scholar is included among the top collaborators of Chun-Hsi Huang 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 Chun-Hsi Huang. Chun-Hsi Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 69 | |
| 12 | 30 | |
| 13 | 102 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | Parallel Range Searching in Large Databases Based on General Parallel Prefix Computation. | 1 |
| 18 | 1 | |
| 19 | Scalable Coarse Grained Parallel Interval Graph Algorithms. | 0 |
| 20 | Finding Double Euler Trails of Planar Graphs in Linear Time | 0 |
About Chun-Hsi Huang
Chun-Hsi Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 61 papers that have together received 686 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Algorithms and Data Compression (13 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Molecular Biology (428 citations), Artificial Intelligence (116 citations) and Genetics (95 citations). Chun-Hsi Huang has collaborated with scholars based in United States, Taiwan and Saudi Arabia. Frequent co-authors include Chih Lee, Sanguthevar Rajasekaran, Sudha Balla, Jun Ni, Vishal Thapar, Martin R. Schiller, Michael R. Gryk, Mark W. Maciejewski, Jinbo Bi and Jin Lü. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.