Yi-Hao Peng

808 citations
35 papers · 475 · h-index 13

Impact in

Papers in

Yi-Hao Peng

30 papers receiving 464 citations

Peers

Yi-Hao Peng
Comparison fields: 5 of 86
  • Human-Computer Interaction 190
  • Human Factors and Ergonomics 66
  • Cognitive Neuroscience 165
  • Computer Vision and Pattern Recognition 128
  • Language and Linguistics 41
Replace Alexander J. Fiannaca with:
Alexander J. Fiannaca United States
Klaus Miesenberger Austria
Anke Brock France
Cagatay Goncu Australia
Sayan Sarcar Japan
Nestor Garay-Vitoria Spain
Jaime Sánchez Mexico
Γεώργιος Κουρουπέτρογλου Greece
Cristian Bernareggi Italy
Manohar Swaminathan India
Yi-Hao Peng relative to Alexander J. Fiannaca United States Alexander J. Fiannaca's profile →
Citations per field
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Alexander J. Fiannaca · 1×
Citations per year

Countries citing papers authored by Yi-Hao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Hao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Hao Peng. 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 Yi-Hao Peng. The network helps show where Yi-Hao Peng may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi-Hao Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi-Hao Peng Line = papers co-authored together Yi-Hao Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 202051
3 202235
4 202334
5 202131
6 201930
7 202327
8 202219
9 202119
10 201918
11 202214
12 202114
13 202313
14 202111
15 202510
16 20249
17 20199
18 20248
19 20207
20 20246

About Yi-Hao Peng

Yi-Hao Peng is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Human Factors and Ergonomics and Artificial Intelligence, having authored 35 papers that have together received 475 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (11 papers), Digital Accessibility for Disabilities (8 papers), Multimodal Machine Learning Applications (4 papers), Interactive and Immersive Displays (4 papers), Virtual Reality Applications and Impacts (4 papers), Innovative Human-Technology Interaction (4 papers), Constructed Wetlands for Wastewater Treatment (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Human-Computer Interaction (190 citations), Human Factors and Ergonomics (66 citations), Cognitive Neuroscience (165 citations), Computer Vision and Pattern Recognition (128 citations) and Language and Linguistics (41 citations). Yi-Hao Peng has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Amy Pavel, Jeffrey P. Bigham, Mike Y. Chen, Paul Taele, Anhong Guo, Jaewook Lee, Jason Wu, Neng-Hao Yu, Shihong Liu and Te-Yen Wu. Their work appears in journals such as Atmospheric and Oceanic Science Letters, Agriculture Ecosystems & Environment, The Science of The Total Environment, Paddy and Water Environment and Journal of Artificial Intelligence Research.

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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