Tai‐Yi Yu

1.6k total citations
72 papers, 1.1k citations indexed

About

Tai‐Yi Yu is a scholar working on Sociology and Political Science, Marketing and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tai‐Yi Yu has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Sociology and Political Science, 18 papers in Marketing and 17 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tai‐Yi Yu's work include Digital Marketing and Social Media (19 papers), Air Quality and Health Impacts (15 papers) and Environmental Education and Sustainability (15 papers). Tai‐Yi Yu is often cited by papers focused on Digital Marketing and Social Media (19 papers), Air Quality and Health Impacts (15 papers) and Environmental Education and Sustainability (15 papers). Tai‐Yi Yu collaborates with scholars based in Taiwan, Yemen and Malaysia. Tai‐Yi Yu's co-authors include Tai‐Kuei Yu, Chih‐Hsing Liu, Jeou‐Shyan Horng, Sheng-Fang Chou, I‐Cheng Chang, Cheng‐Min Chao, Bruno Di Gíusto, Da-Chian Hu, Yujie Chang and Fengyi Lin and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Chemosphere.

In The Last Decade

Tai‐Yi Yu

67 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tai‐Yi Yu Taiwan 18 337 280 268 213 116 72 1.1k
Qun Wang China 21 301 0.9× 226 0.8× 81 0.3× 53 0.2× 82 0.7× 97 1.5k
Michalis Skordoulis Greece 14 313 0.9× 307 1.1× 224 0.8× 29 0.1× 30 0.3× 54 1.3k
Weng Wai Choong Malaysia 16 186 0.6× 282 1.0× 368 1.4× 59 0.3× 41 0.4× 53 1.6k
Imdadullah Hidayat-ur-Rehman Saudi Arabia 18 132 0.4× 70 0.3× 53 0.2× 194 0.9× 181 1.6× 50 961
Christopher A. Craig United States 17 404 1.2× 146 0.5× 181 0.7× 40 0.2× 25 0.2× 57 884
Rohit H. Trivedi United Kingdom 17 279 0.8× 580 2.1× 310 1.2× 66 0.3× 63 0.5× 36 1.3k
Ghulam Ali Pakistan 16 140 0.4× 158 0.6× 92 0.3× 67 0.3× 44 0.4× 37 1.1k
Habib M. Alshuwaikhat Saudi Arabia 18 122 0.4× 112 0.4× 543 2.0× 75 0.4× 35 0.3× 39 1.5k
Chung‐Shing Chan Hong Kong 24 1.0k 3.0× 270 1.0× 72 0.3× 143 0.7× 41 0.4× 75 1.5k

Countries citing papers authored by Tai‐Yi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Yi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Yi 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 Tai‐Yi Yu. The network helps show where Tai‐Yi Yu may publish in the future.

Co-authorship network of co-authors of Tai‐Yi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Yi Yu. A scholar is included among the top collaborators of Tai‐Yi 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 Tai‐Yi Yu. Tai‐Yi Yu 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
1.
Yu, Tai‐Kuei, Jeou‐Shyan Horng, I‐Cheng Chang, et al.. (2025). Exploration of the relationship between SDGs and CSR reports with text mining techniques for stock exchange companies in Taiwan. Discover Computing. 28(1).
2.
Horng, Jeou‐Shyan, Yao‐Chin Wang, Chih‐Hsing Liu, et al.. (2025). Employees as Early Adopters of Robotic Technology: A Self-Identity Approach With Service Improvisation-Generated Outcomes. Journal of Hospitality & Tourism Research. 49(8). 1397–1413. 1 indexed citations
3.
Yu, Tai‐Yi, et al.. (2025). Integrating the critical concepts of sustainability to predict sustainable behavior – the moderating role of information seeking. Marketing Intelligence & Planning. 43(7). 1366–1395. 1 indexed citations
4.
Yu, Tai‐Kuei, et al.. (2025). Predicting potential soil and groundwater contamination risks from gas stations using three machine learning models (XGBoost, LightGBM, and Random Forest). Process Safety and Environmental Protection. 199. 107249–107249. 9 indexed citations
5.
Horng, Jeou‐Shyan, et al.. (2024). Big data meets sustainable marketing: A new integrated curriculum for hospitality education. Journal of Hospitality Leisure Sport & Tourism Education. 35. 100502–100502. 4 indexed citations
6.
Chou, Sheng-Fang, et al.. (2024). Comparison of hotel fine dining and chain restaurant consumer perceived service quality and satisfaction predictions. Journal of Hospitality and Tourism Insights. 8(5). 1927–1953. 2 indexed citations
7.
Horng, Jeou‐Shyan, Yao‐Chin Wang, Chih‐Hsing Liu, et al.. (2024). Robot anthropomorphism at luxury hotels: a dual-congruity mechanism with luxury and task under anxiety. Journal of Hospitality Marketing & Management. 34(2). 204–233. 11 indexed citations
8.
Liu, Chih‐Hsing, et al.. (2024). The roles of cognitive benefits and technology usage in predicting students’ sustainable behavioural intentions: The moderating roles of data literacy and marketing strategy. Journal of Hospitality Leisure Sport & Tourism Education. 34. 100480–100480. 2 indexed citations
9.
Chou, Sheng-Fang, Jeou‐Shyan Horng, Chih‐Hsing Liu, et al.. (2024). The concepts of sustainability value and the application of big data in enhancing the ability of sustainability marketing. Marketing Intelligence & Planning. 1 indexed citations
10.
Yu, Tai‐Yi, Tai‐Kuei Yu, & Cheng‐Min Chao. (2024). Empowering green choices: how the new environmental paradigm influences consumer decisions for a sustainable circular economy. Environment Development and Sustainability.
11.
Liu, Chih‐Hsing, Jeou‐Shyan Horng, Sheng-Fang Chou, et al.. (2023). How big data applications and digital learning change students’ sustainable behaviours – the moderating roles of hard and soft skills. Interactive Learning Environments. 32(10). 6751–6773.
12.
Yu, Tai‐Yi, et al.. (2023). Three-way interaction and multiple mediation models: Environmental strategy and sustainability marketing commitment applications. Asia Pacific Journal of Marketing and Logistics. 36(4). 791–813. 2 indexed citations
13.
Liu, Chih‐Hsing, et al.. (2023). Digital capability, digital learning, and sustainable behaviour among university students in Taiwan: A comparison design of integrated mediation-moderation models. The International Journal of Management Education. 21(3). 100835–100835. 20 indexed citations
14.
Gíusto, Bruno Di, et al.. (2022). Reliability and Validity of Widely Used International Surveys on the Environment. Sustainability. 14(18). 11337–11337. 1 indexed citations
15.
Yu, Tai‐Yi, How‐Ran Chao, Ming‐Hsien Tsai, et al.. (2021). Big Data Analysis for Effects of the COVID-19 Outbreak on Ambient PM2.5 in Areas that Were Not Locked Down. Aerosol and Air Quality Research. 21(8). 210020–210020. 7 indexed citations
16.
Gíusto, Bruno Di, et al.. (2019). Collective responsibility framing also leads to mitigation behavior in East Asia: a replication study in Taiwan. Climatic Change. 153(3). 423–438. 7 indexed citations
17.
Yu, Tai‐Yi, et al.. (2017). The Moderating Effects of Students’ Personality Traits on Pro-Environmental Behavioral Intentions in Response to Climate Change. International Journal of Environmental Research and Public Health. 14(12). 1472–1472. 69 indexed citations
18.
Yu, Tai‐Kuei, et al.. (2016). PSYCHOLOGICAL DISTANCE AND PRO-ENVIRONMENTAL BEHAVIOR: AN APPLICATION OF BEHAVIOR MODEL TO. Journal of Baltic Science Education. 15(6). 1 indexed citations

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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