Dezhi Yin

1.4k total citations · 1 hit paper
24 papers, 936 citations indexed

About

Dezhi Yin is a scholar working on Sociology and Political Science, Artificial Intelligence and Marketing. According to data from OpenAlex, Dezhi Yin has authored 24 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 13 papers in Artificial Intelligence and 5 papers in Marketing. Recurrent topics in Dezhi Yin's work include Digital Marketing and Social Media (19 papers), Sentiment Analysis and Opinion Mining (13 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Dezhi Yin is often cited by papers focused on Digital Marketing and Social Media (19 papers), Sentiment Analysis and Opinion Mining (13 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Dezhi Yin collaborates with scholars based in United States, Taiwan and Canada. Dezhi Yin's co-authors include Han Zhang, Sabyasachi Mitra, Samuel Bond, Dong Liu, Lin Jiang, Chih-Hung Peng, Chih‐Ping Wei, Triparna de Vreede, Gert‐Jan de Vreede and Logan M. Steele and has published in prestigious journals such as Academy of Management Journal, Journal of Marketing Research and MIS Quarterly.

In The Last Decade

Dezhi Yin

21 papers receiving 884 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth

2016 275 citations Dezhi Yin, Sabyasachi Mitra et al. Information Systems Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dezhi Yin United States	12	630	302	291	180	126	24	936
Zhao Pan China	12	508 0.8×	197 0.7×	298 1.0×	310 1.7×	104 0.8×	20	838
Shasha Zhou China	13	502 0.8×	164 0.5×	255 0.9×	264 1.5×	117 0.9×	25	731
Andréas Munzel France	12	475 0.8×	195 0.6×	215 0.7×	154 0.9×	114 0.9×	22	764
Grant Packard Canada	16	705 1.1×	186 0.6×	509 1.7×	126 0.7×	158 1.3×	32	1.1k
Francisco Villarroel Ordenes United States	14	715 1.1×	232 0.8×	597 2.1×	179 1.0×	281 2.2×	16	1.2k
Ni Huang United States	14	715 1.1×	134 0.4×	364 1.3×	246 1.4×	133 1.1×	42	1.1k
Gil Appel United States	7	812 1.3×	155 0.5×	380 1.3×	258 1.4×	79 0.6×	13	1.2k
Marta Flavián Spain	10	866 1.4×	231 0.8×	539 1.9×	310 1.7×	73 0.6×	11	1.2k
Sameh Al‐Natour Canada	11	509 0.8×	148 0.5×	165 0.6×	449 2.5×	188 1.5×	19	845
Crystal T. Lee Taiwan	16	484 0.8×	169 0.6×	365 1.3×	355 2.0×	136 1.1×	33	853

Countries citing papers authored by Dezhi Yin

Since Specialization

Citations

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

Fields of papers citing papers by Dezhi Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dezhi Yin. 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 Dezhi Yin. The network helps show where Dezhi Yin may publish in the future.

Co-authorship network of co-authors of Dezhi Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Dezhi Yin. A scholar is included among the top collaborators of Dezhi Yin 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 Dezhi Yin. Dezhi Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yin, Dezhi, et al.. (2024). Deliberative or Automatic: Disentangling the Dual Processes Behind the Persuasive Power of Online Word-of-Mouth. MIS Quarterly. 49(1). 331–346. 1 indexed citations

Yin, Dezhi, et al.. (2023). Positive or Negative Reviews? Consumers’ Selective Exposure in Seeking and Evaluating Online Reviews. Journal of the Association for Information Systems. 24(4). 1162–1183. 5 indexed citations

Yin, Dezhi, et al.. (2022). Swayed by the reviews: Disentangling the effects of average ratings and individual reviews in online word‐of‐mouth. Production and Operations Management. 31(6). 2393–2411. 28 indexed citations

Yin, Dezhi, et al.. (2022). Swayed by the Reviews: Disentangling the Effects of Average Ratings and Individual Reviews in Online Word-of-Mouth. SSRN Electronic Journal. 2 indexed citations

Yin, Dezhi, et al.. (2022). Bots with Feelings: Should AI Agents Express Positive Emotion in Customer Service?. Information Systems Research. 34(3). 1296–1311. 115 indexed citations

Yin, Dezhi, Triparna de Vreede, Logan M. Steele, & Gert‐Jan de Vreede. (2022). Decide Now or Later: Making Sense of Incoherence Across Online Reviews. Information Systems Research. 34(3). 1211–1227. 24 indexed citations

Jiang, Lin, Dezhi Yin, Dong Liu, & Richard A. Johnson. (2022). The More Enthusiastic, the Better? Unveiling a Negative Pathway From Entrepreneurs’ Displayed Enthusiasm to Funders’ Funding Intentions. Entrepreneurship Theory and Practice. 47(4). 1356–1388. 13 indexed citations

Yin, Dezhi, et al.. (2021). Focus Within or On Others: The Impact of Reviewers’ Attentional Focus on Review Helpfulness. Information Systems Research. 32(3). 801–819. 50 indexed citations

Yin, Dezhi, et al.. (2021). Helpful or Unhelpful: The Role of Voter Heuristics in Review Helpfulness. SSRN Electronic Journal.

10.

Jiang, Lin, Dezhi Yin, & Dong Liu. (2019). Can Joy Buy You Money? The Impact of the Strength, Duration, and Phases of an Entrepreneur’s Peak Displayed Joy on Funding Performance. Academy of Management Journal. 62(6). 1848–1871. 101 indexed citations

11.

Yin, Dezhi, Triparna de Vreede, Logan M. Steele, & Gert‐Jan de Vreede. (2019). Is the Whole Equal to the Sum of its Parts? Exploring the Impact of Inconsistency on Perceived Helpfulness of a Set of Reviews. Proceedings of the ... Annual Hawaii International Conference on System Sciences.

12.

Yin, Dezhi, et al.. (2018). I or You: Whom Should Online Reviewers Direct Their Attention To, and When?. International Conference on Information Systems. 1 indexed citations

13.

Peng, Chih-Hung, Dezhi Yin, Chih‐Ping Wei, & Han Zhang. (2017). Impact of Perspective Taking on Reviewer Behavior: A Multi-Method Exploration. Journal of the Association for Information Systems. 4966–4980. 3 indexed citations

14.

Yin, Dezhi, Samuel Bond, & Han Zhang. (2016). Keep Your Cool or Let it Out: Nonlinear Effects of Expressed Arousal on Perceptions of Consumer Reviews. 1 indexed citations

15.

Yin, Dezhi, Sabyasachi Mitra, & Han Zhang. (2016). Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth. Information Systems Research. 27(1). 131–144. 275 indexed citations breakdown →

16.

Peng, Chih-Hung, Dezhi Yin, Chih‐Ping Wei, & Han Zhang. (2014). How and When Review Length and Emotional Intensity Influence Review Helpfulness: Empirical Evidence from Epinions.com. Journal of the Association for Information Systems. 4(2). 232–7. 19 indexed citations

17.

Yin, Dezhi, Samuel Bond, & Han Zhang. (2014). Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews1. MIS Quarterly. 38(2). 539–560. 49 indexed citations

18.

Yin, Dezhi, Sabyasachi Mitra, & Han Zhang. (2012). Mechanisms of Negativity Bias: An Empirical Exploration of App Reviews In Apple’s App Store. International Conference on Information Systems. 7 indexed citations

19.

Yin, Dezhi, Samuel Bond, & Han Zhang. (2011). Dreading and Ranting: The Distinct Effects of Anxiety and Anger in Online Seller Reviews. Journal of the Association for Information Systems. 13 indexed citations

20.

Yin, Dezhi, Samuel Bond, & Han Zhang. (2010). ARE BAD REVIEWS ALWAYS STRONGER THAN GOOD ? ASYMMETRIC NEGATIVITY BIAS IN THE FORMATION OF ONLINE CONSUMER TRUST. International Conference on Information Systems. 193. 4 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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