Shao-Shan Chiang
- Media Technology top 0.5%
- Atmospheric Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Chein‐I ChangHsuan RenChih‐Hung HuangKuang‐Chiung ChangJ. A. SmithChien‐Chih LaiRen-Guey LeeKuei‐Chien Chen
- Topics
- Remote-Sensing Image Classification (10 papers)Energy Efficient Wireless Sensor Networks (5 papers)Infrared Target Detection Methodologies (4 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Shao-Shan Chiang
21 papers receiving 819 citations
Peers
Comparison fields: 5 of 78
- Media Technology 560
- Atmospheric Science 291
- Computer Vision and Pattern Recognition 166
- Artificial Intelligence 140
- Computer Networks and Communications 132
Countries citing papers authored by Shao-Shan Chiang
This map shows the geographic impact of Shao-Shan Chiang'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 Shao-Shan Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao-Shan Chiang more than expected).
Fields of papers citing papers by Shao-Shan Chiang
This network shows the impact of papers produced by Shao-Shan Chiang. 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 Shao-Shan Chiang. The network helps show where Shao-Shan Chiang may publish in the future.
Co-authorship network of co-authors of Shao-Shan Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Shan Chiang. A scholar is included among the top collaborators of Shao-Shan Chiang 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 Shao-Shan Chiang. Shao-Shan Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 73 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 36 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 33 | |
| 14 | 42 | |
| 15 | 409 | |
| 16 | 4 | |
| 17 | 78 | |
| 18 | Automatic target detection and classification for hyperspectral imagery | 8 |
| 19 | 4 | |
| 20 | 87 |
About Shao-Shan Chiang
Shao-Shan Chiang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 24 papers that have together received 847 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Media Technology (560 citations), Atmospheric Science (291 citations) and Analytical Chemistry (132 citations). Shao-Shan Chiang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chein‐I Chang, Chein‐I Chang, Hsuan Ren, Chih‐Hung Huang, Kuang‐Chiung Chang, J. A. Smith, Chien‐Chih Lai, Ren-Guey Lee, Kuei‐Chien Chen and Qian Du. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Neurocomputing and Measurement.
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.