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Yin Fang

As seen in: Nature, Wiley Online Library, arXiv, Taylor & Francis Online, ACS Publications, American Chemical Society, Royal Society of Chemistry, BioRxiv
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Articles

Fire and culture: how intercultural competence creates festival tourism experiences in Japan

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By Ding-Yi Wu, Yin Fang, Ting-Yen Huang, Hideki Ogima
| Taylor & Francis Online
ABSTRACT Tourist intercultural competence (TIC) plays a crucial role in shaping memorable tourism experiences, yet its influence on co-creation in festival settings remains underexplored. While previous studies have examined TIC in volunteer, food, and heritage tourism, little is known about how TIC affects international tourists’ participation and value co-creation in traditional cultural festivals.
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Differential Nonconservative Behaviors of Dissolved Black Carbon Along a Major River‐Estuary‐Shelf Continuum

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By Yin Fang, Guopei Huang, Dongyan Liu, Mengmeng Wu
| Wiley Online Library Verified
Conflict of Interest The authors declare no conflicts of interest relevant to this study. Supporting Information References , , , , , , et al. (2023). Deciphering sources and processing of dissolved black carbon in coastal seas. Limnology & Oceanography, 68(11), 2562–2575. https://doi.org/10.1002/lno.12442 , , , , & (2017). Aerosols as a source of dissolved black carbon to the ocean. Nature Communications, 8(1), 510. https://doi.org/10.1038/s41467-017-00437-3 , , , , , & (2013).
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Identification and characterization of cell niches in tissue from spatial omics data at single-cell resolution - Nature Communications

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By Jingyang Qian, Xin Shao, Yin Fang, Chengyu Li, Hua Hua
| Nature Verified
Abstract Deciphering the features, structure, and functions of the cell niche in tissues remains a major challenge. Here, we present scNiche, a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution. We benchmark scNiche with both simulated and biological datasets, and demonstrate that scNiche can effectively and robustly identify cell niches while outperforming other existing methods.
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