Kuo‐Chan Huang
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Artificial Intelligence
- Co-authors
- Feng-Jian WangYu‐En WuNebojša BačaninKuan‐Chou LaiAmit ChhabraTarik A. RashidHao LiaoHung‐Chang Hsiao
- Topics
- Distributed and Parallel Computing Systems (30 papers)Cloud Computing and Resource Management (29 papers)Parallel Computing and Optimization Techniques (16 papers)
In The Last Decade
Kuo‐Chan Huang
51 papers receiving 419 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 294
- Information Systems 267
- Electrical and Electronic Engineering 81
- Hardware and Architecture 69
- Artificial Intelligence 37
Countries citing papers authored by Kuo‐Chan Huang
This map shows the geographic impact of Kuo‐Chan 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 Kuo‐Chan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Chan Huang more than expected).
Fields of papers citing papers by Kuo‐Chan Huang
This network shows the impact of papers produced by Kuo‐Chan 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 Kuo‐Chan Huang. The network helps show where Kuo‐Chan Huang may publish in the future.
Co-authorship network of co-authors of Kuo‐Chan Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chan Huang. A scholar is included among the top collaborators of Kuo‐Chan 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 Kuo‐Chan Huang. Kuo‐Chan 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 | 0 | |
| 3 | 36 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 28 | |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | An Integrated Processor Allocation and Job Scheduling Approach to Workload Management on Computing Grid. | 7 |
| 19 | Performance Evaluation of Load Sharing Policies on Computing Grid. | 6 |
| 20 | 15 |
About Kuo‐Chan Huang
Kuo‐Chan Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 53 papers that have together received 450 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (30 papers), Cloud Computing and Resource Management (29 papers) and Parallel Computing and Optimization Techniques (16 papers). The work is most often cited by research in Computer Networks and Communications (294 citations), Information Systems (267 citations) and Hardware and Architecture (69 citations). Kuo‐Chan Huang has collaborated with scholars based in Taiwan, India and Iraq. Frequent co-authors include Feng-Jian Wang, Yu‐En Wu, Nebojša Bačanin, Kuan‐Chou Lai, Amit Chhabra, Tarik A. Rashid, Hao Liao, Hung‐Chang Hsiao, Chen‐I Hung and Mau‐Phon Houng. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Computer Physics Communications and Plant Molecular Biology.
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.