Shu Yang

462 total citations
16 papers, 330 citations indexed

About

Shu Yang is a scholar working on Management of Technology and Innovation, Accounting and Economics and Econometrics. According to data from OpenAlex, Shu Yang has authored 16 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management of Technology and Innovation, 9 papers in Accounting and 4 papers in Economics and Econometrics. Recurrent topics in Shu Yang's work include Entrepreneurship Studies and Influences (10 papers), Private Equity and Venture Capital (9 papers) and Firm Innovation and Growth (3 papers). Shu Yang is often cited by papers focused on Entrepreneurship Studies and Influences (10 papers), Private Equity and Venture Capital (9 papers) and Firm Innovation and Growth (3 papers). Shu Yang collaborates with scholars based in United States, Taiwan and China. Shu Yang's co-authors include Romi Kher, Scott L. Newbert, Thomas S. Lyons, Christoph Winkler, Jin‐Chung Chen, S. M. Wang, Kimberly B. Boal, Chia‐Huei Wu, Jun Ma and Yanto Chandra and has published in prestigious journals such as Academy of Management Journal, European Journal of Operational Research and Journal of Business Venturing.

In The Last Decade

Shu Yang

15 papers receiving 317 citations

Peers

Shu Yang
Shu Yang
Citations per year, relative to Shu Yang Shu Yang (= 1×) peers Runping Guo

Countries citing papers authored by Shu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Yang

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

All Works

16 of 16 papers shown
2.
Yang, Shu, et al.. (2023). Seeing the Forestandthe Trees: Exploring the Impact of Inter- and Intra-Entrepreneurial Ecosystem Embeddedness on New Venture Creation. Academy of Management Journal. 66(6). 1954–1982. 26 indexed citations
3.
Yang, Shu, et al.. (2023). Exploring Entrepreneurial Ecosystem (EE) Heterogeneity. Academy of Management Proceedings. 2023(1). 1 indexed citations
4.
Kher, Romi, Shu Yang, & Scott L. Newbert. (2022). Accelerating emergence: the causal (but contextual) effect of social impact accelerators on nascent for-profit social ventures. Small Business Economics. 61(1). 389–413. 18 indexed citations
5.
Ma, Jun, et al.. (2021). An Emoji Is Worth a Thousand Words. Journal of Global Information Management. 29(6). 1–23. 10 indexed citations
6.
Newbert, Scott L., Romi Kher, & Shu Yang. (2021). Now that's interesting and important! Moving beyond averages to increase the inferential value of empirical findings in entrepreneurship research. Journal of Business Venturing. 37(2). 106185–106185. 41 indexed citations
7.
Yang, Shu, et al.. (2021). Self- versus other-directed outcomes, Machiavellianism, and hypothetical distance in COVID-19 antipandemic messages. Social Behavior and Personality An International Journal. 49(3). 1–13. 5 indexed citations
8.
Kher, Romi, Shu Yang, & Scott L. Newbert. (2020). Exploring the Treatment Effect of Startup Accelerators on Venture Emergence. Academy of Management Proceedings. 2020(1). 12312–12312. 1 indexed citations
9.
Yang, Shu, Romi Kher, & Scott L. Newbert. (2019). What signals matter for social startups? It depends: The influence of gender role congruity on social impact accelerator selection decisions. Journal of Business Venturing. 35(2). 105932–105932. 112 indexed citations
10.
Yang, Shu, Romi Kher, & Thomas S. Lyons. (2018). Where Do Accelerators Fit in the Venture Creation Pipeline? Different Values Brought by Different Types of Accelerators. Entrepreneurship Research Journal. 8(4). 34 indexed citations
11.
Winkler, Christoph, et al.. (2018). Improvement of Practice in Entrepreneurship Education Through Action Research: The Case of Coworking at a Nonresidential College. Entrepreneurship Education and Pedagogy. 1(2). 139–165. 24 indexed citations
12.
13.
Basu, Sandip, Romi Kher, & Shu Yang. (2018). A Conceptual Examination Of Corporate Accelerators Versus Traditional Corporate Venturing Programs. Academy of Management Proceedings. 2018(1). 14591–14591.
14.
Yang, Shu & Yanto Chandra. (2009). Agent-based simulation in entrepreneurship research. UvA-DARE (University of Amsterdam). 1 indexed citations
15.
Chen, Jin‐Chung, et al.. (2008). Price negotiation for capacity sharing in a two-factory environment using genetic algorithm. International Journal of Production Research. 46(7). 1847–1868. 22 indexed citations
16.
Yang, Shu, et al.. (2006). A resource portfolio model for equipment investment and allocation of semiconductor testing industry. European Journal of Operational Research. 179(2). 390–403. 31 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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