Yaokai Feng
- Signal Processing top 5%
- Advanced Malware Detection Techniques 11
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- Network Security and Intrusion Detection 17
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 11
- Internet Traffic Analysis and Secure E-voting 9
- Oral Surgery top 10%
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- Advanced Image and Video Retrieval Techniques 12
- Handwritten Text Recognition Techniques 8
- Image Retrieval and Classification Techniques 4
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- Vehicle License Plate Recognition 3
Yaokai Feng
33 papers receiving 475 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 235
- Computer Networks and Communications 350
- Artificial Intelligence 300
- Oral Surgery 27
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Yaokai Feng
This map shows the geographic impact of Yaokai 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 Yaokai Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaokai Feng more than expected).
Fields of papers citing papers by Yaokai Feng
This network shows the impact of papers produced by Yaokai 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 Yaokai Feng. The network helps show where Yaokai Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaokai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 45 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 78 | |
| 6 | 2020 | 7 | |
| 7 | Rule Generation for Signature Based Detection Systems of Cyber Attacks in IoT Environments | 2019 | 27 |
| 8 | 2017 | 14 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 4 | |
| 11 | 2014 | 8 | |
| 12 | 2013 | 0 | |
| 13 | 2013 | 4 | |
| 14 | 2012 | 3 | |
| 15 | Text Detection in Scenery Images | 2011 | 0 |
| 16 | 2011 | 15 | |
| 17 | 2011 | 4 | |
| 18 | An Estimating Model of Node Accesses for INN Search Algorithm in Multidimensional Spaces | 2007 | 0 |
| 19 | 2007 | 6 | |
| 20 | 2001 | 1 |
About Yaokai Feng
Yaokai Feng is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 505 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (17 papers), Advanced Image and Video Retrieval Techniques (12 papers), Anomaly Detection Techniques and Applications (11 papers), Advanced Malware Detection Techniques (11 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Signal Processing (235 citations), Computer Networks and Communications (350 citations) and Artificial Intelligence (300 citations). Yaokai Feng has collaborated with scholars based in Japan, Indonesia and China. Frequent co-authors include Kouichi Sakurai, Paulus Insap Santosa, Rudy Hartanto, Yan Naung Soe, Seiichi Uchida, Lu Liang, Hitoshi Akiyama, Yoshiaki Hori, Hiroshi Koide and Jin Hao. Their work appears in journals such as Electronics, IET Radar Sonar & Navigation, Journal of Dental Research, Frontiers of Computer Science and Sensors.
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.