Sio-Hoï Ieng
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Aerospace Engineering top 5%
- Co-authors
- Ryad BenosmanChiara BartolozziXavier LagorceCharles De ClercqXavier CladyC. PoschMandyam V. SrinivasanJean-Claude Régnier
- Topics
- CCD and CMOS Imaging Sensors (31 papers)Advanced Memory and Neural Computing (31 papers)Neural dynamics and brain function (19 papers)
- Cited by
- Computer Vision and Pattern RecognitionCognitive NeuroscienceElectrical and Electronic Engineering
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Sio-Hoï Ieng
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 1.1k
- Computer Vision and Pattern Recognition 462
- Cognitive Neuroscience 421
- Cellular and Molecular Neuroscience 317
- Aerospace Engineering 258
Countries citing papers authored by Sio-Hoï Ieng
This map shows the geographic impact of Sio-Hoï Ieng'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 Sio-Hoï Ieng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sio-Hoï Ieng more than expected).
Fields of papers citing papers by Sio-Hoï Ieng
This network shows the impact of papers produced by Sio-Hoï Ieng. 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 Sio-Hoï Ieng. The network helps show where Sio-Hoï Ieng may publish in the future.
Co-authorship network of co-authors of Sio-Hoï Ieng
This figure shows the co-authorship network connecting the top 25 collaborators of Sio-Hoï Ieng. A scholar is included among the top collaborators of Sio-Hoï Ieng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sio-Hoï Ieng. Sio-Hoï Ieng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 95 | |
| 4 | 35 | |
| 5 | High Speed Event-based Face Detection and Tracking in the Blink of an Eye | 3 |
| 6 | 21 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 44 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 30 | |
| 13 | 75 | |
| 14 | 32 | |
| 15 | 129 | |
| 16 | 42 | |
| 17 | 247 | |
| 18 | 35 | |
| 19 | Retinal Feature Extraction From Asynchronous Light Acquisition | 1 |
| 20 | 141 |
About Sio-Hoï Ieng
Sio-Hoï Ieng is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (31 papers), Advanced Memory and Neural Computing (31 papers) and Neural dynamics and brain function (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Cognitive Neuroscience (421 citations) and Electrical and Electronic Engineering (1.1k citations). Sio-Hoï Ieng has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ryad Benosman, Chiara Bartolozzi, Xavier Lagorce, Charles De Clercq, Xavier Clady, C. Posch, Mandyam V. Srinivasan, Jean-Claude Régnier, P. Lichtsteiner and Tobi Delbrück. Their work appears in journals such as Nature Communications, Neuron and Proceedings of the IEEE.
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.