Hao-Hsuan Chang
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Signal Processing
- Co-authors
- Lingjia LiuYang YiJianzhong ZhangLianjun LiHao SongHao ChenHaibo HeZhou Zhou
- Topics
- Advanced MIMO Systems Optimization (7 papers)Neural Networks and Reservoir Computing (6 papers)Cognitive Radio Networks and Spectrum Sensing (5 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE AccessIEEE Transactions on Wireless CommunicationsIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United StatesSouth Korea
In The Last Decade
Hao-Hsuan Chang
17 papers receiving 436 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 340
- Computer Networks and Communications 216
- Artificial Intelligence 156
- Aerospace Engineering 50
- Signal Processing 33
Countries citing papers authored by Hao-Hsuan Chang
This map shows the geographic impact of Hao-Hsuan Chang'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 Hao-Hsuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao-Hsuan Chang more than expected).
Fields of papers citing papers by Hao-Hsuan Chang
This network shows the impact of papers produced by Hao-Hsuan Chang. 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 Hao-Hsuan Chang. The network helps show where Hao-Hsuan Chang may publish in the future.
Co-authorship network of co-authors of Hao-Hsuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hao-Hsuan Chang. A scholar is included among the top collaborators of Hao-Hsuan Chang 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 Hao-Hsuan Chang. Hao-Hsuan Chang 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 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 43 | |
| 11 | 17 | |
| 12 | 44 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 106 | |
| 16 | 1 | |
| 17 | 164 |
About Hao-Hsuan Chang
Hao-Hsuan Chang is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 17 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Neural Networks and Reservoir Computing (6 papers) and Cognitive Radio Networks and Spectrum Sensing (5 papers). The work is most often cited by research in Computer Networks and Communications (216 citations), Electrical and Electronic Engineering (340 citations) and Artificial Intelligence (156 citations). Hao-Hsuan Chang has collaborated with scholars based in United States and South Korea. Frequent co-authors include Lingjia Liu, Yang Yi, Jianzhong Zhang, Lianjun Li, Hao Song, Hao Chen, Haibo He, Zhou Zhou, Yifei Song and Thinh T. Doan. Their work appears in journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Neural Networks and Learning 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.