Cries Avian
Impact in
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- Spectroscopy and Chemometric Analyses
Papers in
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- Muscle activation and electromyography studies 7
- Advanced Chemical Sensor Technologies 3
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- Engineering and Technology Innovations 2
- Co-authors
- Jenq‐Shiou Leu (20 shared papers)Setya Widyawan Prakosa (16 shared papers)Muhamad Faisal (8 shared papers)Mario Köppen (2 shared papers)Khairul Anam (6 shared papers)Setiyo Gunawan (1 shared paper)Chia‐Ti Tsai (2 shared papers)Wei Wu (1 shared paper)
In The Last Decade
Cries Avian
32 papers receiving 260 citations
Peers
Comparison fields: 5 of 80
- Analytical Chemistry 32
- Human-Computer Interaction 18
- Biomedical Engineering 116
- Cognitive Neuroscience 31
- Sensory Systems 5
Countries citing papers authored by Cries Avian
This map shows the geographic impact of Cries Avian'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 Cries Avian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cries Avian more than expected).
Fields of papers citing papers by Cries Avian
This network shows the impact of papers produced by Cries Avian. 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 Cries Avian. The network helps show where Cries Avian may publish in the future.
Co-authors
The 23 scholars most cited alongside Cries Avian, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 31 | |
| 2 | 2022 | 28 | |
| 3 | 2023 | 25 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 4 |
About Cries Avian
Cries Avian is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Human-Computer Interaction and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 265 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (7 papers), Gaze Tracking and Assistive Technology (4 papers), Smart Agriculture and AI (3 papers), COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Chemical Sensor Technologies (3 papers) and Engineering and Technology Innovations (2 papers). The work is most often cited by research in Analytical Chemistry (32 citations), Human-Computer Interaction (18 citations), Biomedical Engineering (116 citations), Cognitive Neuroscience (31 citations) and Sensory Systems (5 citations). Cries Avian has collaborated with scholars based in Taiwan, Indonesia and Japan. Frequent co-authors include Jenq‐Shiou Leu, Setya Widyawan Prakosa, Muhamad Faisal, Mario Köppen, Khairul Anam, Setiyo Gunawan, Chia‐Ti Tsai, Wei Wu, Hakun Wirawasista Aparamarta and Uswatun Hasanah. Their work appears in journals such as Sensors, Biomedical Signal Processing and Control, South African Journal of Chemical Engineering, Computers & Electrical Engineering and Briefings in Bioinformatics.
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.