Ya Ping Chang

1.8k total citations
24 papers, 1.4k citations indexed

About

Ya Ping Chang is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Ya Ping Chang has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 14 papers in Information Systems and Management and 12 papers in Marketing. Recurrent topics in Ya Ping Chang's work include Digital Marketing and Social Media (19 papers), Technology Adoption and User Behaviour (13 papers) and Customer Service Quality and Loyalty (9 papers). Ya Ping Chang is often cited by papers focused on Digital Marketing and Social Media (19 papers), Technology Adoption and User Behaviour (13 papers) and Customer Service Quality and Loyalty (9 papers). Ya Ping Chang collaborates with scholars based in China and United States. Ya Ping Chang's co-authors include Dong Zhu, Hui Sun, Jingwen Li, Shichang Liang, Xin Li, Chang An, Zhe Zhang, Ching‐Jui Keng, Kunpeng Zhang and Jun Yan and has published in prestigious journals such as Computers in Human Behavior, Information & Management and International Journal of Hospitality Management.

In The Last Decade

Ya Ping Chang

24 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya Ping Chang China 18 949 600 567 329 189 24 1.4k
Rafael Anaya‐Sánchez Spain 18 1.4k 1.4× 634 1.1× 833 1.5× 339 1.0× 152 0.8× 31 1.9k
Songpol Kulviwat United States 12 991 1.0× 862 1.4× 452 0.8× 263 0.8× 100 0.5× 15 1.5k
Margaret Meiling Luo Taiwan 14 960 1.0× 734 1.2× 459 0.8× 441 1.3× 85 0.4× 30 1.4k
Kunal Swani United States 18 1.1k 1.1× 421 0.7× 619 1.1× 226 0.7× 102 0.5× 35 1.4k
Yuping Liu–Thompkins United States 16 979 1.0× 300 0.5× 795 1.4× 281 0.9× 178 0.9× 23 1.5k
Sesia J. Zhao China 14 1.2k 1.3× 678 1.1× 674 1.2× 262 0.8× 113 0.6× 30 1.6k
Dawn Lerman United States 14 1.0k 1.1× 330 0.6× 860 1.5× 346 1.1× 143 0.8× 32 1.5k
Xiaoyu Xu China 16 1.0k 1.1× 673 1.1× 693 1.2× 276 0.8× 95 0.5× 41 1.5k
Ewa Masłowska United States 20 1.1k 1.2× 374 0.6× 742 1.3× 284 0.9× 124 0.7× 37 1.4k
Dong‐Mo Koo South Korea 19 1.1k 1.2× 560 0.9× 963 1.7× 417 1.3× 65 0.3× 39 1.8k

Countries citing papers authored by Ya Ping Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ya Ping Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya Ping Chang. 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 Ya Ping Chang. The network helps show where Ya Ping Chang may publish in the future.

Co-authorship network of co-authors of Ya Ping Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ya Ping Chang. A scholar is included among the top collaborators of Ya Ping Chang 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 Ya Ping Chang. Ya Ping Chang 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.
Chang, Ya Ping, et al.. (2024). Shopping through mobile augmented reality: The impacts of AR embedding and embodiment attributes on consumer-based brand equity. Information & Management. 61(6). 103999–103999. 5 indexed citations
2.
Chang, Ya Ping & Jingwen Li. (2021). Seamless experience in the context of omnichannel shopping： scale development and empirical validation. Journal of Retailing and Consumer Services. 64. 102800–102800. 50 indexed citations
3.
Zhu, Dong, et al.. (2021). How SoLoMo-based product recommendations influence consumers' acceptance intention: the moderating role of gender. International Journal of Services Technology and Management. 27(1/2). 129–129. 4 indexed citations
4.
Zhu, Dong & Ya Ping Chang. (2020). Robot with humanoid hands cooks food better?. International Journal of Contemporary Hospitality Management. 32(3). 1367–1383. 173 indexed citations
5.
Zhu, Dong, et al.. (2019). Understanding the influence of submission devices on online consumer reviews:A comparison between smartphones and PCs. Journal of Retailing and Consumer Services. 54. 102028–102028. 25 indexed citations
6.
Chang, Ya Ping, et al.. (2018). Online product category and pricing strategies of land-based retailers. Internet Research. 29(1). 245–270. 5 indexed citations
7.
Zhu, Dong, et al.. (2018). The influence of online cross-recommendation on consumers’ instant cross-buying intention. Internet Research. 28(3). 604–622. 40 indexed citations
8.
Zhu, Dong, et al.. (2018). Good discounts earn good reviews in return? Effects of price promotion on online restaurant reviews. International Journal of Hospitality Management. 77. 178–186. 62 indexed citations
9.
Zhu, Dong, et al.. (2017). Understanding the Intention to Continue Use of a Mobile Payment Provider: An Examination of Alipay Wallet in China. 12(4). 369. 22 indexed citations
10.
Zhu, Dong, Hui Sun, & Ya Ping Chang. (2017). How the content of location-based advertisings influences consumers’ store patronage intention. Journal of Consumer Marketing. 34(7). 603–611. 13 indexed citations
11.
Zhang, Kunpeng, et al.. (2015). Effects of Interactions and Product Information on Initial Purchase Intention in Product Placement in Social Games: The Moderating Role of Product Familiarity. Journal of electronic commerce research. 16(1). 22. 30 indexed citations
12.
Chang, Ya Ping, et al.. (2015). The impact of product regret on repurchase intention. Social Behavior and Personality An International Journal. 43(8). 1347–1360. 3 indexed citations
13.
Zhu, Dong, et al.. (2015). Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model. Telematics and Informatics. 33(1). 8–16. 116 indexed citations
14.
Chang, Ya Ping, et al.. (2015). The Impact of Product Regret on Repurchase Intention. Social Behavior and Personality An International Journal. 43(8). 1347–1360. 10 indexed citations
15.
Zhu, Dong, Ya Ping Chang, & Chang An. (2015). Effects of free gifts with purchase on online purchase satisfaction. Internet Research. 25(5). 690–706. 26 indexed citations
16.
Zhu, Dong, et al.. (2014). Understanding the adoption of location-based recommendation agents among active users of social networking sites. Information Processing & Management. 50(5). 675–682. 49 indexed citations
17.
Zhu, Dong & Ya Ping Chang. (2013). Investigating consumer attitude and intention toward free trials of technology-based services. Computers in Human Behavior. 30. 328–334. 52 indexed citations
18.
Zhu, Dong & Ya Ping Chang. (2013). Understanding motivations for continuance intention of online communities in China. Information Development. 30(2). 172–180. 20 indexed citations
19.
Chang, Ya Ping & Dong Zhu. (2012). The role of perceived social capital and flow experience in building users’ continuance intention to social networking sites in China. Computers in Human Behavior. 28(3). 995–1001. 285 indexed citations
20.
Chang, Ya Ping & Dong Zhu. (2011). Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption. Computers in Human Behavior. 27(5). 1840–1848. 129 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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