Siling Feng
Impact in
- Media Technology top 10%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- IoT and Edge/Fog Computing
Papers in
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- Metaheuristic Optimization Algorithms Research 8
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- Image and Signal Denoising Methods 7
- Co-authors
- Mengxing Huang (34 shared papers)Feng Shu (5 shared papers)Wenlong Feng (8 shared papers)Cong Lin (6 shared papers)Yuchun Li (3 shared papers)Tong Ye (1 shared paper)Yinjie Chen (2 shared papers)Yuanyuan Wu (4 shared papers)
- Journals
- Electronics (4 papers)Wireless Communications and Mobile Computing (4 papers)Scientific Reports (3 papers)Remote Sensing (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Siling Feng
42 papers receiving 313 citations
Peers
Comparison fields: 5 of 75
- Media Technology 44
- Computer Networks and Communications 102
- Information Systems 76
- Computer Vision and Pattern Recognition 56
- Management Science and Operations Research 32
Countries citing papers authored by Siling Feng
This map shows the geographic impact of Siling Feng'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 Siling Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siling Feng more than expected).
Fields of papers citing papers by Siling Feng
This network shows the impact of papers produced by Siling Feng. 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 Siling Feng. The network helps show where Siling Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Siling Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2020 | 25 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 20 | |
| 5 | 2018 | 17 | |
| 6 | 2020 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2010 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2023 | 4 |
About Siling Feng
Siling Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Media Technology and Electrical and Electronic Engineering, having authored 50 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (9 papers), Blockchain Technology Applications and Security (8 papers), Metaheuristic Optimization Algorithms Research (8 papers), Image and Signal Denoising Methods (7 papers), IoT and Edge/Fog Computing (4 papers), Remote-Sensing Image Classification (4 papers), Energy Load and Power Forecasting (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Media Technology (44 citations), Computer Networks and Communications (102 citations), Information Systems (76 citations), Computer Vision and Pattern Recognition (56 citations) and Management Science and Operations Research (32 citations). Siling Feng has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Mengxing Huang, Feng Shu, Wenlong Feng, Cong Lin, Yuchun Li, Tong Ye, Yinjie Chen, Yuanyuan Wu, Yuanyuan Wu and Wencai Du. Their work appears in journals such as Electronics, Wireless Communications and Mobile Computing, Scientific Reports, Remote Sensing and IEEE Access.
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.