Ming‐Yi Chen

590 total citations
21 papers, 453 citations indexed

About

Ming‐Yi Chen is a scholar working on Sociology and Political Science, Marketing and Information Systems and Management. According to data from OpenAlex, Ming‐Yi Chen has authored 21 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 9 papers in Marketing and 5 papers in Information Systems and Management. Recurrent topics in Ming‐Yi Chen's work include Digital Marketing and Social Media (7 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Technology Adoption and User Behaviour (5 papers). Ming‐Yi Chen is often cited by papers focused on Digital Marketing and Social Media (7 papers), Consumer Behavior in Brand Consumption and Identification (6 papers) and Technology Adoption and User Behaviour (5 papers). Ming‐Yi Chen collaborates with scholars based in Taiwan, China and Philippines. Ming‐Yi Chen's co-authors include Ching‐I Teng, Zhiqiang Huang, Yongliang Chen, Shouwang Cai, Jiahong Dong, Jian Feng, Chien‐Huang Lin, Hsiu‐Yuan Tsao, Hao-Chiang Koong Lin and Lien‐Ti Bei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Business Research.

In The Last Decade

Ming‐Yi Chen

19 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Yi Chen Taiwan 11 252 193 135 67 48 21 453
Katherine Gallagher United States 9 208 0.8× 235 1.2× 84 0.6× 43 0.6× 24 0.5× 19 514
Henning Kreis Germany 8 130 0.5× 75 0.4× 51 0.4× 60 0.9× 25 0.5× 14 332
Åsa Wallström Sweden 12 125 0.5× 115 0.6× 74 0.5× 48 0.7× 29 0.6× 27 303
Damian Gallagher United Kingdom 8 145 0.6× 71 0.4× 100 0.7× 75 1.1× 7 0.1× 15 351
Kristen Walker United States 11 143 0.6× 93 0.5× 31 0.2× 19 0.3× 37 0.8× 41 343
Ashwin Malshe United States 10 251 1.0× 277 1.4× 68 0.5× 109 1.6× 10 0.2× 21 530
Scott W. Davis United States 7 89 0.4× 230 1.2× 32 0.2× 32 0.5× 15 409
Hoseong Jeon South Korea 4 220 0.9× 443 2.3× 105 0.8× 435 6.5× 19 0.4× 12 636
Anja Geigenmüller Germany 8 191 0.8× 183 0.9× 40 0.3× 180 2.7× 4 0.1× 11 467
Jong Seok Lee United States 11 48 0.2× 17 0.1× 25 0.2× 23 0.3× 4 0.1× 25 257

Countries citing papers authored by Ming‐Yi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Yi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yi Chen. A scholar is included among the top collaborators of Ming‐Yi Chen 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 Ming‐Yi Chen. Ming‐Yi Chen 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.
Wang, Zhan, Daolin Du, Jie Ding, et al.. (2023). Research on urban safety early warning systems and emergency response mechanisms in snowstorms. SHILAP Revista de lepidopterología. 3(1). 0–0. 3 indexed citations
2.
3.
Tsao, Hsiu‐Yuan, Ming‐Yi Chen, Colin Campbell, & Sean Sands. (2020). Estimating numerical scale ratings from text-based service reviews. Journal of service management. 31(2). 187–202. 10 indexed citations
4.
Chen, Ming‐Yi. (2019). Portraying product or cause in charity advertising: how execution style and appeal type affects prosocial attitudes by enhancing perceived personal roles. International Journal of Advertising. 39(3). 342–364. 15 indexed citations
5.
Chen, Ming‐Yi, et al.. (2019). The helpfulness of online reviews. Online Information Review. 44(1). 90–113. 28 indexed citations
6.
Tsao, Hsiu‐Yuan, et al.. (2018). The asymmetric effect of review valence on numerical rating. Online Information Review. 43(2). 283–300. 19 indexed citations
7.
Chen, Ming‐Yi. (2016). The Effects of Reward Type on Evaluations of an Online Lucky Draw. Journal of electronic commerce research. 17(2). 188. 1 indexed citations
8.
Chen, Ming‐Yi. (2016). Consumer response to health product communication: The role of perceived product efficacy. Journal of Business Research. 69(9). 3251–3260. 23 indexed citations
9.
Chen, Ming‐Yi. (2016). Can two-sided messages increase the helpfulness of online reviews?. Online Information Review. 40(3). 316–332. 46 indexed citations
10.
Xu, Mingyue, Xianjie Shi, Lei He, et al.. (2016). [Clinicopathological characteristics and prognosis of solid pseudopapillary neoplasm of the pancreas: comparison between tumors ≤5 cm and larger tumors].. PubMed. 36(6). 780–4. 2 indexed citations
11.
Wu, Tzu‐Hua, Ming‐Yi Chen, Wei‐Ting Chen, et al.. (2015). The Comparative Studies of Binding Activity of Curcumin and Didemethylated Curcumin with Selenite: Hydrogen Bonding vs Acid-Base Interactions. Scientific Reports. 5(1). 17614–17614. 6 indexed citations
12.
Chen, Ming‐Yi. (2015). Who will make an indulgent food choice after having fulfilled their healthy eating goal?. International Journal of Consumer Studies. 40(3). 379–384. 5 indexed citations
13.
Bei, Lien‐Ti & Ming‐Yi Chen. (2015). The effects of hedonic and utilitarian bidding values on e-auction behavior. Electronic Commerce Research. 15(4). 483–507. 8 indexed citations
14.
Lin, Chien‐Huang & Ming‐Yi Chen. (2015). “Being hooked” by a brand story: a view of regulatory focus. European Journal of Marketing. 49(5/6). 692–712. 13 indexed citations
15.
Feng, Jian, Yongliang Chen, Jiahong Dong, et al.. (2014). Post-pancreaticoduodenectomy hemorrhage risk factors, managements and outcomes. Hepatobiliary & pancreatic diseases international. 13(5). 513–522. 47 indexed citations
16.
Chen, Ming‐Yi & Ching‐I Teng. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research. 13(1). 1–23. 125 indexed citations
17.
Chen, Yongliang, Zhiqiang Huang, Jiahong Dong, et al.. (2012). [Surgical management and outcome of solid-pseudopapillary tumor of pancreas: a series of 58 cases].. PubMed. 50(7). 615–7. 2 indexed citations
18.
Teng, Ching‐I, et al.. (2012). Loyalty Due to Others: The Relationships Among Challenge, Interdependence, and Online Gamer Loyalty. Journal of Computer-Mediated Communication. 17(4). 489–500. 40 indexed citations
19.
Feng, Jian, Zhiqiang Huang, Yongliang Chen, et al.. (2012). [Influence of obstructive jaundice on postoperative complications and mortality after pancreaticoduodenectomy: analysis of the 25-year single-center data].. PubMed. 50(4). 294–8. 2 indexed citations
20.
Tsai, Kuen‐Hung, Christine Chou, & Ming‐Yi Chen. (2008). Does matching pay policy with innovation strategy really improve firm performance?. Personnel Review. 37(3). 300–316. 11 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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