Viet-Khoa Vo-Ho

25 papers receiving 513 citations

Hit Papers

Spiking Neural Networks and Their Applications: A Review2022202620232024202250100150200250

Peers

Viet-Khoa Vo-Ho
Comparison fields: 5 of 90
  • Artificial Intelligence 209
  • Electrical and Electronic Engineering 185
  • Computer Vision and Pattern Recognition 148
  • Cognitive Neuroscience 123
  • Cellular and Molecular Neuroscience 56
Replace Sakyasingha Dasgupta with:
Sakyasingha Dasgupta Germany
Vincent Gripon France
Hu Lu China
Thomas Degris Canada
Bernard Girau France
N. Srinivasa United States
Jong Hwan Ko South Korea
Xiurui Xie China
Junxian He China
Viet-Khoa Vo-Ho relative to Sakyasingha Dasgupta Germany Sakyasingha Dasgupta's profile →
Citations per field
00.5×7.2×
Sakyasingha Dasgupta · 1×
Citations per year

Countries citing papers authored by Viet-Khoa Vo-Ho

Since Specialization
Citations

This map shows the geographic impact of Viet-Khoa Vo-Ho'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 Viet-Khoa Vo-Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viet-Khoa Vo-Ho more than expected).

Fields of papers citing papers by Viet-Khoa Vo-Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viet-Khoa Vo-Ho. 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 Viet-Khoa Vo-Ho. The network helps show where Viet-Khoa Vo-Ho may publish in the future.

Co-authorship network of co-authors of Viet-Khoa Vo-Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Viet-Khoa Vo-Ho. A scholar is included among the top collaborators of Viet-Khoa Vo-Ho 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 Viet-Khoa Vo-Ho. Viet-Khoa Vo-Ho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 4
3 0
4 1
5 38
6 6
7 16
8 18
9 7
10 2
11 16
12 21
13 6
14 16
15 13
16 0
17
Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis
16
18 3
19
Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion.
4
20 1

About Viet-Khoa Vo-Ho

Viet-Khoa Vo-Ho is a scholar working on Computer Vision and Pattern Recognition, Transportation and Health, having authored 29 papers that have together received 528 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (12 papers), Human Pose and Action Recognition (7 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (209 citations) and Cognitive Neuroscience (123 citations). Viet-Khoa Vo-Ho has collaborated with scholars based in Vietnam, United States and Japan. Frequent co-authors include Ngan Le, Kashu Yamazaki, Minh–Triet Tran, Phong Thanh Nguyen, Quyen Le Hoang Thuy To Nguyen, Khoa Luu, Mohamed Elhoseny, Dac‐Nhuong Le, Vinh-Tiep Nguyen and Akihiro Sugimoto. Their work appears in journals such as IEEE Access, International Journal of Computer Vision and Applied Sciences.

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.

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