Valentin Radu
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Advanced Neural Network Applications
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Advanced Neural Network Applications 7
- Context-Aware Activity Recognition Systems 6
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- Indoor and Outdoor Localization Technologies 11
- Co-authors
- Mahesh K. Marina (8 shared papers)Sourav Bhattacharya (2 shared papers)Fahim Kawsar (2 shared papers)Cecilia Mascolo (2 shared papers)Nicholas D. Lane (2 shared papers)Catherine Tong (1 shared paper)Rik Sarkar (2 shared papers)Panagiota Katsikouli (2 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (2 papers)2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (1 paper)Edinburgh Research Explorer (University of Edinburgh) (3 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomRomaniaFinland
In The Last Decade
Valentin Radu
28 papers receiving 707 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 362
- Computer Science Applications 69
- Signal Processing 119
- Transportation 70
- Artificial Intelligence 223
Countries citing papers authored by Valentin Radu
This map shows the geographic impact of Valentin Radu'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 Valentin Radu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Radu more than expected).
Fields of papers citing papers by Valentin Radu
This network shows the impact of papers produced by Valentin Radu. 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 Valentin Radu. The network helps show where Valentin Radu may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Radu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2016 | 105 | |
| 3 | 2014 | 91 | |
| 4 | 2013 | 88 | |
| 5 | 2020 | 44 | |
| 6 | 2013 | 33 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 18 | |
| 10 | 2019 | 14 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2015 | 9 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2012 | 3 |
About Valentin Radu
Valentin Radu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Science Applications and Transportation, having authored 30 papers that have together received 724 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (11 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Advanced Neural Network Applications (7 papers), Context-Aware Activity Recognition Systems (6 papers), Human Mobility and Location-Based Analysis (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (362 citations), Computer Science Applications (69 citations), Signal Processing (119 citations), Transportation (70 citations) and Artificial Intelligence (223 citations). Valentin Radu has collaborated with scholars based in United Kingdom, Romania and Finland. Frequent co-authors include Mahesh K. Marina, Sourav Bhattacharya, Fahim Kawsar, Cecilia Mascolo, Nicholas D. Lane, Catherine Tong, Rik Sarkar, Panagiota Katsikouli, Sangxia Huang and Jack Turner. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam), 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Edinburgh Research Explorer (University of Edinburgh) and arXiv (Cornell University).
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.