Hao Shi
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Remote-Sensing Image Classification 7
- Advanced Image Fusion Techniques 6
-
- Advanced Malware Detection Techniques 5
- Journals
- Remote Sensing (5 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Applied Sciences (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Journal of Petroleum Science and Engineering (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Hao Shi
35 papers receiving 380 citations
Peers
Comparison fields: 5 of 62
- Media Technology 112
- Signal Processing 62
- Software 18
- Ocean Engineering 73
- Atmospheric Science 69
Countries citing papers authored by Hao Shi
This map shows the geographic impact of Hao Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Shi more than expected).
Fields of papers citing papers by Hao Shi
This network shows the impact of papers produced by Hao Shi. 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 Shi. The network helps show where Hao Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 27 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 12 | |
| 16 | Cardinal pill testing of system virtual machines | 2014 | 22 |
| 17 | 2008 | 4 | |
| 18 | 2007 | 5 | |
| 19 | 2007 | 1 | |
| 20 | The development of Horizontal Directional Drilling in coal mines | 2004 | 1 |
About Hao Shi
Hao Shi is a scholar working on Media Technology, Signal Processing, Developmental Biology, Atmospheric Science and Computer Networks and Communications, having authored 36 papers that have together received 389 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Remote Sensing and Land Use (6 papers), Advanced Malware Detection Techniques (5 papers), Hydrocarbon exploration and reservoir analysis (3 papers), Image and Signal Denoising Methods (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Media Technology (112 citations), Signal Processing (62 citations), Software (18 citations), Ocean Engineering (73 citations) and Atmospheric Science (69 citations). Hao Shi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Guo Cao, Jelena Mirković, Youqiang Zhang, Peng Fu, Yanbo Liu, Di Yang, Yanchun Zhang, Joseph Fu, G. Li and Jiqiang Niu. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Applied Sciences, IEEE Transactions on Instrumentation and Measurement and Journal of Petroleum Science and Engineering.
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.