Yan Zhang
Affiliation	Tsinghua University
Country	Japan
Google Scholar ID	6K7pE3YAAAAJ
Documents	9
Citations	26
h-index	3
Subject Area	Software Engineering
Event	Global CSE Awards

Yan Zhang is identified in the supplied research record as a researcher affiliated with Tsinghua University, with research interests represented through publications concerning visual perception, color vision deficiency, augmented reality, human-computer interaction, and vehicle-pedestrian communication. The available bibliographic information provides the basis for this academic recognition profile and its associated assessment.[1][2]

Abstract

This article presents a scholarly profile of Yan Zhang, whose record identifies Tsinghua University as the institutional affiliation and reports nine documents, 26 citations, and an h-index of 3. The selected publications address representative surface color perception, context-aware assistance for color vision deficiency using large language models and augmented reality, and pedestrian perceptions of external human-machine interfaces in virtual reality. Collectively, these studies connect visual perception, accessibility, human-computer interaction, artificial intelligence, and intelligent transportation. The profile is presented neutrally for academic recognition, emphasizing documented outputs, research themes, publication venues, citation indicators, and suitability for consideration within an award evaluation process. [1]

Keywords

• Software Engineering
• Computer Vision
• Color Perception
• Color Vision Deficiency
• Augmented Reality
• Large Language Models
• Human-Computer Interaction
• Vehicle-Pedestrian Interaction

Introduction

Yan Zhang’s research record reflects work spanning software engineering, human-computer interaction, computer vision, color perception, augmented reality, and vehicle-pedestrian interaction. The listed publications examine how people interpret visual information and technology-mediated signals, connecting empirical studies with interactive systems. These themes provide a multidisciplinary basis for evaluating research activity and assessment. [1][2]

Research Profile

The supplied profile identifies Yan Zhang with Tsinghua University and reports nine documents, 26 citations, and an h-index of 3. The publications include interdisciplinary studies involving perception, color vision deficiency, large language models, augmented reality, and external human-machine interfaces, indicating engagement with applied and human-centered computing research and scholarly innovation.[2]

Research Contributions

Zhang’s listed contributions address representative color perception in natural materials, context-aware assistance for color vision deficiency, and pedestrian perceptions of vehicle interfaces. Collectively, these studies investigate visual cognition, accessibility, augmented reality, and human-vehicle communication. Their methodological diversity illustrates research connecting perceptual evidence with emerging interactive technologies and practical user needs. [3]

Publications

The identified publication record includes a 2023 Scientific Reports article on representative surface color, a 2024 IEEE conference contribution integrating large language models with augmented reality for color vision deficiency, and a 2025 IEEE Access study examining eHMI placement and vehicle type. Together, these works demonstrate interdisciplinary activity across domains.[1]

Research Impact

The supplied metrics report 26 citations and an h-index of 3 across nine documents. These indicators provide a quantitative snapshot of scholarly visibility, while the publications show relevance across perception, accessibility, artificial intelligence, augmented reality, and intelligent transportation. Impact should be interpreted alongside publication quality, collaboration, venue, and citation development.[1][2]

Award Suitability

Based on the supplied record, Yan Zhang demonstrates a multidisciplinary research profile with publications addressing contemporary problems in visual perception, accessibility, interactive artificial intelligence, and human-vehicle communication. The documented outputs and citation indicators provide evidence for consideration in a researcher recognition process, subject to verification of affiliation, metrics, and eligibility.[2]

Conclusion

Yan Zhang’s documented research combines empirical perception studies with emerging computing and interaction technologies. The available record indicates contributions across color perception, assistive systems, augmented reality, and vehicle-pedestrian interfaces. With nine reported documents, 26 citations, and an h-index of 3, the profile presents a foundation for academic recognition and evaluation.[3]

External Links

• Google Scholar Profile
• DOI Link
• Global CSE Awards

References

1. Zhang, Y., & Motoyoshi, I. (2023). Perceiving the representative surface color of real-world materials. Scientific Reports, 13, 6300.
   https://doi.org/10.1038/s41598-023-33563-8. Nature article.
2. Morita, S., Zhang, Y., Yamauchi, T., Chen, S., Li, J., & Tei, K. (2024). Towards context-aware support for color vision deficiency: An approach integrating LLM and AR. In 2024 IEEE 13th Global Conference on Consumer Electronics (pp. 188–189). Institute of Electrical and Electronics Engineers.
   https://doi.org/10.1109/GCCE62371.2024.10761017. IEEE Xplore.
3. Zheng, N., Li, J., Zhang, Y., & Tei, K. (2025). Exploring the impact of eHMI display location and vehicle type on pedestrian perceptions: A VR user study. IEEE Access, 13, 4947–4956.
   https://doi.org/10.1109/ACCESS.2025.3526172. IEEE Xplore.