Siling Feng
Impact in
- Media Technology top 10%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- IoT and Edge/Fog Computing
Papers in
-
- Metaheuristic Optimization Algorithms Research 8
-
- Blockchain Technology Applications and Security 8
- Co-authors
- Mengxing Huang (32 shared papers)Feng Shu (5 shared papers)Wenlong Feng (8 shared papers)Cong Lin (6 shared papers)Tong Ye (1 shared paper)Yuchun Li (3 shared papers)Yuanyuan Wu (4 shared papers)Yinjie Chen (2 shared papers)
- Journals
- Electronics (4 papers)Wireless Communications and Mobile Computing (4 papers)Scientific Reports (3 papers)IEEE Access (2 papers)Remote Sensing (2 papers)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Siling Feng
39 papers receiving 286 citations
Peers
Comparison fields: 5 of 72
- Media Technology 43
- Computer Networks and Communications 99
- Information Systems 73
- Computer Vision and Pattern Recognition 52
- Management Science and Operations Research 30
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2021 | 25 | |
| 3 | 2020 | 23 | |
| 4 | 2021 | 18 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2010 | 10 | |
| 10 | 2023 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Siling Feng
Siling Feng is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 44 papers that have together received 293 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Blockchain Technology Applications and Security (8 papers), Advanced Image Fusion Techniques (8 papers), Image and Signal Denoising Methods (6 papers), Remote-Sensing Image Classification (5 papers), IoT and Edge/Fog Computing (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Media Technology (43 citations), Computer Networks and Communications (99 citations), Information Systems (73 citations), Computer Vision and Pattern Recognition (52 citations) and Management Science and Operations Research (30 citations). Siling Feng has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Mengxing Huang, Feng Shu, Wenlong Feng, Cong Lin, Tong Ye, Yuchun Li, Yuanyuan Wu, Yuanyuan Wu, Yinjie Chen and Wencai Du. Their work appears in journals such as Electronics, Wireless Communications and Mobile Computing, Scientific Reports, IEEE Access and Remote Sensing.
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.