Chang Shu
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
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- Advanced Neural Network Applications
Papers in
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- IoT and Edge/Fog Computing 9
- Software-Defined Networks and 5G 4
- Age of Information Optimization 3
- Co-authors
- Zhiwei Zhao (10 shared papers)Geyong Min (10 shared papers)Hancong Duan (2 shared papers)Ruixue Sun (3 shared papers)Bien Tan (3 shared papers)Xiaoyan Wang (3 shared papers)Xunliang Hu (3 shared papers)Xiaoju Yang (1 shared paper)
- Journals
- IEEE Internet of Things Journal (2 papers)Electronics (2 papers)Angewandte Chemie International Edition (2 papers)IEEE Transactions on Computational Social Systems (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Chang Shu
18 papers receiving 397 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 248
- Computer Vision and Pattern Recognition 101
- Information Systems 99
- Computer Science Applications 20
- Media Technology 26
Countries citing papers authored by Chang Shu
This map shows the geographic impact of Chang Shu'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 Chang Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Shu more than expected).
Fields of papers citing papers by Chang Shu
This network shows the impact of papers produced by Chang Shu. 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 Chang Shu. The network helps show where Chang Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Shu, 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 | 2019 | 161 | |
| 2 | 2024 | 64 | |
| 3 | 2022 | 30 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2022 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2012 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Chang Shu
Chang Shu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry, having authored 20 papers that have together received 403 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Software-Defined Networks and 5G (4 papers), Age of Information Optimization (3 papers), IoT Networks and Protocols (3 papers), Covalent Organic Framework Applications (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), CO2 Reduction Techniques and Catalysts (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Computer Networks and Communications (248 citations), Computer Vision and Pattern Recognition (101 citations), Information Systems (99 citations), Computer Science Applications (20 citations) and Media Technology (26 citations). Chang Shu has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Zhiwei Zhao, Geyong Min, Hancong Duan, Ruixue Sun, Bien Tan, Xiaoyan Wang, Xunliang Hu, Xiaoju Yang, Xuan Yang and Irshad Hussaın. Their work appears in journals such as IEEE Internet of Things Journal, Electronics, Angewandte Chemie International Edition, IEEE Transactions on Computational Social Systems and IEEE Transactions on Intelligent Transportation 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.