Neng-Hao Yu
- Human-Computer Interaction top 1%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Social Psychology
- Co-authors
- Mike Y. ChenYi‐Ping HungLiwei ChanYi-Hao PengShihong LiuPaul TaeleCarolyn YuChung‐Wei Wang
- Topics
- Tactile and Sensory Interactions (15 papers)Interactive and Immersive Displays (14 papers)Augmented Reality Applications (6 papers)
- Journals
- Proceedings of the ACM on Human-Computer InteractionEURASIP Journal on Image and Video ProcessingCHI Conference on Human Factors in Computing Systems
- Partner nations
- TaiwanUnited StatesSaudi Arabia
In The Last Decade
Neng-Hao Yu
21 papers receiving 331 citations
Peers
Comparison fields: 5 of 53
- Human-Computer Interaction 268
- Cognitive Neuroscience 200
- Computer Vision and Pattern Recognition 123
- Mechanical Engineering 44
- Social Psychology 39
Countries citing papers authored by Neng-Hao Yu
This map shows the geographic impact of Neng-Hao Yu'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 Neng-Hao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neng-Hao Yu more than expected).
Fields of papers citing papers by Neng-Hao Yu
This network shows the impact of papers produced by Neng-Hao Yu. 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 Neng-Hao Yu. The network helps show where Neng-Hao Yu may publish in the future.
Co-authorship network of co-authors of Neng-Hao Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Neng-Hao Yu. A scholar is included among the top collaborators of Neng-Hao Yu 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 Neng-Hao Yu. Neng-Hao Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 49 | |
| 6 | 29 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 27 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 43 | |
| 17 | 67 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 2 |
About Neng-Hao Yu
Neng-Hao Yu is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 338 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (15 papers), Interactive and Immersive Displays (14 papers) and Augmented Reality Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (268 citations), Cognitive Neuroscience (200 citations) and Computer Vision and Pattern Recognition (123 citations). Neng-Hao Yu has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Mike Y. Chen, Yi‐Ping Hung, Liwei Chan, Yi-Hao Peng, Shihong Liu, Paul Taele, Carolyn Yu, Chung‐Wei Wang, Lung-Pan Cheng and Polly Huang. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, EURASIP Journal on Image and Video Processing and CHI Conference on Human Factors in Computing Systems.
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.