Hung‐Che Wu

5.5k total citations · 1 hit paper
131 papers, 4.4k citations indexed

About

Hung‐Che Wu is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Hung‐Che Wu has authored 131 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Sociology and Political Science, 59 papers in Organizational Behavior and Human Resource Management and 51 papers in Marketing. Recurrent topics in Hung‐Che Wu's work include Customer Service Quality and Loyalty (59 papers), Diverse Aspects of Tourism Research (46 papers) and Consumer Behavior in Brand Consumption and Identification (40 papers). Hung‐Che Wu is often cited by papers focused on Customer Service Quality and Loyalty (59 papers), Diverse Aspects of Tourism Research (46 papers) and Consumer Behavior in Brand Consumption and Identification (40 papers). Hung‐Che Wu collaborates with scholars based in China, Taiwan and Macao. Hung‐Che Wu's co-authors include Ching‐Chan Cheng, Chi-Han Ai, Tao Li, Tsung‐Pao Wu, Mengyu Li, Ya-Yuan Chang, Qasim Ali Nisar, Waseem Ul Hameed, Yong Jae Ko and Jose Weng Chou Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tourism Management and Journal of Travel Research.

In The Last Decade

Hung‐Che Wu

126 papers receiving 4.2k citations

Hit Papers

Relationships between external knowledge, internal innova... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung‐Che Wu China 37 2.7k 1.8k 1.8k 607 324 131 4.4k
Hak Jun Song South Korea 32 2.2k 0.8× 1.7k 0.9× 1.1k 0.6× 398 0.7× 377 1.2× 90 4.0k
Dwi Suhartanto Indonesia 31 2.4k 0.9× 1.9k 1.0× 1.4k 0.8× 221 0.4× 455 1.4× 130 4.0k
Maxwell K. Hsu United States 26 2.2k 0.8× 1.7k 0.9× 1.6k 0.9× 232 0.4× 651 2.0× 74 3.8k
Sunghyup Sean Hyun South Korea 44 3.0k 1.1× 2.6k 1.4× 2.1k 1.2× 244 0.4× 690 2.1× 124 5.3k
Chih‐Hsing Liu Taiwan 37 2.0k 0.8× 1.4k 0.8× 1000 0.6× 253 0.4× 338 1.0× 156 4.1k
Hanqin Qiu Zhang Hong Kong 41 3.1k 1.2× 1.2k 0.7× 1.4k 0.8× 302 0.5× 204 0.6× 149 4.7k
Juan Luis Nicolau United States 38 3.3k 1.2× 2.4k 1.3× 878 0.5× 1.0k 1.7× 335 1.0× 192 5.5k
Bee‐Lia Chua Malaysia 32 1.9k 0.7× 1.6k 0.9× 961 0.5× 221 0.4× 263 0.8× 94 3.3k
Ivan Ka Wai Lai Macao 35 2.2k 0.8× 1.2k 0.7× 892 0.5× 205 0.3× 485 1.5× 150 3.6k
Giampaolo Viglia United Kingdom 35 2.5k 0.9× 2.5k 1.4× 719 0.4× 288 0.5× 498 1.5× 98 4.3k

Countries citing papers authored by Hung‐Che Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Che Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Che Wu. 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 Hung‐Che Wu. The network helps show where Hung‐Che Wu may publish in the future.

Co-authorship network of co-authors of Hung‐Che Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Che Wu. A scholar is included among the top collaborators of Hung‐Che Wu 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 Hung‐Che Wu. Hung‐Che Wu 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
2.
Wu, Hung‐Che, et al.. (2024). Exploring the drivers of experiential outcome intentions among driverless bus passengers. Research in Transportation Business & Management. 56. 101165–101165. 2 indexed citations
4.
Wu, Hung‐Che. (2024). Exploring the drivers of experience intentions to co-create value among quarantine greenhouse customers. Journal of Foodservice Business Research. 29(1). 82–113.
5.
Wu, Hung‐Che, et al.. (2022). Service innovation, experiential relationship quality and shopping outcomes in a smart unmanned store. Journal of Marketing Communications. 30(3). 344–367. 5 indexed citations
6.
Wu, Hung‐Che, et al.. (2022). Exploring the drivers of COVID-19 protective behaviors among Singaporean tourists to Indonesia using travel bubbles. Current Psychology. 43(15). 13972–13985. 2 indexed citations
7.
Chang, Ya-Yuan, et al.. (2021). Identifying the key success factors of F&B sharing services: new insights from a multiple-phase decision-making model. British Food Journal. 124(12). 4161–4187. 5 indexed citations
8.
Wu, Tsung‐Pao, et al.. (2021). The effect of economic policy uncertainty on BRIC tourism. Anatolia. 32(3). 501–509. 7 indexed citations
9.
Wu, Tsung‐Pao, Hung‐Che Wu, Shubing Liu, Cheng-Feng Wu, & Yu-Yu Wu. (2021). Causality between global economic policy uncertainty and tourism in fragile five countries: a three-dimensional wavelet approach. Tourism Recreation Research. 47(5-6). 608–622. 12 indexed citations
10.
Wu, Hung‐Che & Ya-Yuan Chang. (2020). Arctic attachment and experiential relationship marketing in Arctic tourism. Scandinavian Journal of Hospitality and Tourism. 20(2). 178–203. 7 indexed citations
11.
Cheng, Ching‐Chan, et al.. (2020). Determinants of customers' choice of dining-related services: the case of Taipei City. British Food Journal. 122(5). 1549–1571. 4 indexed citations
12.
Wu, Hung‐Che, et al.. (2018). An Empirical Analysis of Tourists’ Switching Intention: The Case of Jiufen. Journal of China Tourism Research. 14(2). 193–220. 21 indexed citations
13.
Wu, Hung‐Che, Yu-Chiang Lin, & Fu-Sung Hsu. (2017). An empirical analysis of synthesizing the effects of service quality, perceived value, corporate image and customer satisfaction on behavioral intentions in the transport industry: a case of Taiwan high-speed rail. SHILAP Revista de lepidopterología. 7(3). 31 indexed citations
14.
Chen, Yi‐Chang, et al.. (2017). Herd Behavior and Rational Expectations: A Test of China’s Market Using Quantile Regression. International Journal of Economics and Financial Issues. 7(2). 649–663. 12 indexed citations
15.
Wu, Hung‐Che, Tao Li, & Mengyu Li. (2016). A Study of Behavioral Intentions, Patient Satisfaction, Perceived Value, Patient Trust and Experiential Quality for Medical Tourists. Journal of Quality Assurance in Hospitality & Tourism. 17(2). 114–150. 96 indexed citations
16.
Wu, Hung‐Che & Tao Li. (2015). An Empirical Study of the Effects of Service Quality, Visitor Satisfaction, and Emotions on Behavioral Intentions of Visitors to the Museums of Macau. Journal of Quality Assurance in Hospitality & Tourism. 16(1). 80–102. 50 indexed citations
17.
Wu, Hung‐Che, Jose Weng Chou Wong, & Ching‐Chan Cheng. (2013). An Empirical Study of Behavioral Intentions in the Food Festival: The Case of Macau. Asia Pacific Journal of Tourism Research. 19(11). 1278–1305. 72 indexed citations
18.
Wu, Hung‐Che, et al.. (2008). Performance of a fibre-reinforced lightweight concrete panel. Proceedings of the Institution of Civil Engineers - Construction Materials. 161(4). 157–162. 1 indexed citations
19.
Wu, Hung‐Che, et al.. (1996). Utilization of Recycled Fibers in Concrete. 799–808. 3 indexed citations
20.
Li, Victor C. & Hung‐Che Wu. (1992). Micromechanics Based Design for Pseudo Strain-Hardening in Cementitious Composites. Engineering Mechanics. 740–743. 10 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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