Sha Yang

3.9k total citations · 1 hit paper
87 papers, 2.8k citations indexed

About

Sha Yang is a scholar working on Marketing, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Sha Yang has authored 87 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Marketing, 22 papers in Strategy and Management and 21 papers in Sociology and Political Science. Recurrent topics in Sha Yang's work include Consumer Market Behavior and Pricing (49 papers), Digital Platforms and Economics (21 papers) and Digital Marketing and Social Media (18 papers). Sha Yang is often cited by papers focused on Consumer Market Behavior and Pricing (49 papers), Digital Platforms and Economics (21 papers) and Digital Marketing and Social Media (18 papers). Sha Yang collaborates with scholars based in United States, China and Hong Kong. Sha Yang's co-authors include Anindya Ghose, Greg M. Allenby, Zhao Ying, Vishal Narayan, Yi Zhao, Yuxin Chen, Priya Raghubir, Geraldine Fennell, Henry Assael and Min Qi and has published in prestigious journals such as Journal of Marketing, Management Science and Journal of Marketing Research.

In The Last Decade

Sha Yang

79 papers receiving 2.6k citations

Hit Papers

An Empirical Analysis of Search Engine Advertising: Spons... 2009 2026 2014 2020 2009 100 200 300 400
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.

  1. An Empirical Analysis of Search Engine Advertising: Sponsored Search in Electronic Markets
    2009 488 citations Anindya Ghose, Sha Yang Management Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Yang United States 26 1.8k 962 608 588 505 87 2.8k
Asim Ansari United States 27 2.1k 1.2× 844 0.9× 428 0.7× 488 0.8× 602 1.2× 47 3.3k
Kamel Jedidi United States 31 1.9k 1.0× 497 0.5× 571 0.9× 716 1.2× 979 1.9× 72 3.4k
Berend Wierenga Netherlands 30 1.1k 0.6× 862 0.9× 480 0.8× 430 0.7× 329 0.7× 108 2.9k
K. Sudhir United States 28 1.8k 1.0× 364 0.4× 926 1.5× 587 1.0× 1.1k 2.2× 96 2.7k
Imran S. Currim United States 29 1.5k 0.8× 388 0.4× 305 0.5× 384 0.7× 933 1.8× 56 2.6k
Ganesh Iyer United States 22 1.6k 0.9× 429 0.4× 1.2k 2.0× 653 1.1× 663 1.3× 58 2.8k
Linda L. Golden United States 25 964 0.5× 728 0.8× 177 0.3× 359 0.6× 696 1.4× 91 2.7k
Daeho Lee South Korea 24 573 0.3× 686 0.7× 308 0.5× 224 0.4× 344 0.7× 109 2.2k
Jerry Wind United States 19 777 0.4× 425 0.4× 549 0.9× 321 0.5× 286 0.6× 44 1.9k
Khim Yong Goh Singapore 17 1.3k 0.7× 1.8k 1.9× 258 0.4× 236 0.4× 156 0.3× 67 2.6k

Countries citing papers authored by Sha Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Yang. A scholar is included among the top collaborators of Sha Yang 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 Sha Yang. Sha Yang 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.
Yang, Sha, Kwangsoo Park, & Minwoo Lee. (2025). Evolution and future agenda of service robot research: a computer-assisted qualitative data analysis approach. Industrial Management & Data Systems. 125(8). 2508–2535.
2.
Yang, Sha, et al.. (2025). Tourism Marketing Strategies from Price Tags to Brand Value. Journal of Ecohumanism. 4(1). 1 indexed citations
3.
Chen, Junchen, Sha Yang, Chen Chen, et al.. (2025). Disease modification in psoriasis through early interleukin 17 inhibitor intervention: A retrospective cohort study. Journal of the American Academy of Dermatology. 93(4). 1000–1007. 1 indexed citations
4.
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Dong, Xiongbo, et al.. (2024). The evolution and dissolution mechanism of θ-Al2Cu phase and the analysis of precipitation of a novel AlCu phase during elevated aging. Materials Characterization. 217. 114454–114454. 3 indexed citations
7.
Lu, Shijie, Sha Yang, & Yao Yao. (2024). Within-Category Satiation and Cross-Category Spillover in Multiproduct Advertising. Journal of Marketing. 89(2). 119–140.
8.
Zhao, Yi, Sha Yang, Matthew Shum, & Shantanu Dutta. (2022). A Dynamic Model of Player Level-Progression Decisions in Online Gaming. Management Science. 68(11). 8062–8082. 6 indexed citations
9.
Wang, Bo, Jianmin Zhang, Yunliang Chen, et al.. (2020). Experimental and numerical investigations of similarity for dam-break flows on wet bed. Journal of Hydrology. 583. 124598–124598. 35 indexed citations
10.
Yang, Sha, et al.. (2020). Understanding the Effect of Incentivized Advertising along the Conversion Funnel. SSRN Electronic Journal. 2 indexed citations
11.
Jian, Lian, et al.. (2019). Managing the Crowds: The Effect of Prize Guarantees and In-Process Feedback on Participation in Crowdsourcing Contests1. MIS Quarterly. 43(1). 97–112. 70 indexed citations
12.
Zheng, Xin, et al.. (2018). Information Inconsistencies in Multi-Dimensional Rating Systems. Journal of the Association for Information Systems. 3 indexed citations
13.
Wang, Kai, et al.. (2018). Spatial context-aware user mention behavior modeling for mentionee recommendation. Neural Networks. 106. 152–167. 6 indexed citations
14.
Yang, Sha. (2016). Supporting Oral Narrative Development of Kindergarten English Language LearnersUsing Multimedia Stories. The Journal of Interactive Learning Research. 27(4). 381–397. 3 indexed citations
15.
Zhao, Yi, et al.. (2012). Modeling Consumer Learning from Online Product Reviews. SSRN Electronic Journal. 22 indexed citations
16.
Yang, Sha & Anindya Ghose. (2009). Analyzing the Relationship between Organic and Sponsored Search Advertising: Positive, Negative or Zero Interdependence?. SSRN Electronic Journal. 64 indexed citations
17.
Yang, Sha, Yi Zhao, Tülin Erdem, & Zhao Ying. (2009). Modeling the Intra Household Behavioral Interaction. SSRN Electronic Journal. 6 indexed citations
18.
Yang, Sha. (2008). Speaker recognition based on artificial neuron network and Kalman filter algorithm. 1 indexed citations
19.
Yang, Sha & Priya Raghubir. (2005). Can bottles speak volumes? The effect of package shape on how much to buy. Journal of Retailing. 81(4). 269–281. 96 indexed citations
20.
Qi, Min & Sha Yang. (2003). Forecasting consumer credit card adoption: what can we learn about the utility function?. International Journal of Forecasting. 19(1). 71–85. 19 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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