Vutipong Areekul
- Signal Processing top 5%
- Biometric Identification and Security 23
- Safety Research top 5%
- Forensic Fingerprint Detection Methods 11
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- Face recognition and analysis 4
- Advanced Steganography and Watermarking Techniques 4
- Face and Expression Recognition 4
- Digital Media Forensic Detection 4
- Information Systems top 10%
- User Authentication and Security Systems 4
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- Wood and Agarwood Research 4
- Co-authors
- Zujun HouH. Troy NagleWei‐Yun YauUkrit WatchareeruetaiS. TantaratanaR.H. BambergerManoj K. AroraPramod K. Varshney
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Access (2 papers)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- ThailandUnited StatesSingapore
In The Last Decade
Vutipong Areekul
30 papers receiving 260 citations
Peers
Comparison fields: 5 of 49
- Signal Processing 213
- Safety Research 80
- Computer Vision and Pattern Recognition 151
- Information Systems 60
- Media Technology 11
Countries citing papers authored by Vutipong Areekul
This map shows the geographic impact of Vutipong Areekul'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 Vutipong Areekul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vutipong Areekul more than expected).
Fields of papers citing papers by Vutipong Areekul
This network shows the impact of papers produced by Vutipong Areekul. 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 Vutipong Areekul. The network helps show where Vutipong Areekul may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Vutipong Areekul, 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 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 0 | |
| 8 | 2018 | 13 | |
| 9 | 2013 | 36 | |
| 10 | 2010 | 30 | |
| 11 | 2010 | 2 | |
| 12 | 2010 | 40 | |
| 13 | 2008 | 5 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 13 | |
| 16 | 2005 | 35 | |
| 17 | 2003 | 2 | |
| 18 | The Measurement of Mealy Bug Population Using Image Processing Techniques | 2002 | 1 |
| 19 | 2002 | 1 | |
| 20 | 2000 | 29 |
About Vutipong Areekul
Vutipong Areekul is a scholar working on Signal Processing, Safety Research and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 278 indexed citations. Recurring topics across this work include Biometric Identification and Security (23 papers), Forensic Fingerprint Detection Methods (11 papers), Face recognition and analysis (4 papers), User Authentication and Security Systems (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Face and Expression Recognition (4 papers), Wood and Agarwood Research (4 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Signal Processing (213 citations), Safety Research (80 citations) and Computer Vision and Pattern Recognition (151 citations). Vutipong Areekul has collaborated with scholars based in Thailand, United States and Singapore. Frequent co-authors include Zujun Hou, H. Troy Nagle, Wei‐Yun Yau, Ukrit Watchareeruetai, S. Tantaratana, R.H. Bamberger, Manoj K. Arora, Pramod K. Varshney, Teerasit Kasetkasem and Miti Ruchanurucks. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors and Actuators B Chemical.
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.