Joseph Z. Shyu

1.9k total citations
54 papers, 1.4k citations indexed

About

Joseph Z. Shyu is a scholar working on Management Science and Operations Research, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Joseph Z. Shyu has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 20 papers in Economics and Econometrics and 16 papers in Strategy and Management. Recurrent topics in Joseph Z. Shyu's work include Innovation and Knowledge Management (13 papers), Innovation Diffusion and Forecasting (9 papers) and Multi-Criteria Decision Making (8 papers). Joseph Z. Shyu is often cited by papers focused on Innovation and Knowledge Management (13 papers), Innovation Diffusion and Forecasting (9 papers) and Multi-Criteria Decision Making (8 papers). Joseph Z. Shyu collaborates with scholars based in Taiwan, China and India. Joseph Z. Shyu's co-authors include Gwo‐Hshiung Tzeng, Chi-Yo Huang, Hsien‐Che Lai, Hsiao‐Chi Chen, Rajiv Khosla, Mei-Tai Chu, Yi‐Chia Chiu, Chun‐Ling Lin, Yen‐Chun Lee and Che‐Hung Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

Joseph Z. Shyu

51 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
Joseph Z. Shyu Taiwan 15 496 481 258 245 195 54 1.4k
Kostas Metaxiotis Greece 26 527 1.1× 284 0.6× 203 0.8× 181 0.7× 127 0.7× 91 2.0k
Y. İlker Topçu Türkiye 22 469 0.9× 308 0.6× 153 0.6× 118 0.5× 176 0.9× 72 1.6k
Juite Wang Taiwan 21 658 1.3× 391 0.8× 130 0.5× 385 1.6× 300 1.5× 41 1.7k
Salman Nazari-Shirkouhi Iran 20 600 1.2× 575 1.2× 94 0.4× 154 0.6× 188 1.0× 62 1.7k
Sepehr Ghazinoory Iran 21 239 0.5× 497 1.0× 270 1.0× 223 0.9× 126 0.6× 109 1.3k
Yu-Ting Lee Taiwan 11 461 0.9× 542 1.1× 105 0.4× 140 0.6× 99 0.5× 17 1.5k
Min-Ren Yan Taiwan 20 382 0.8× 448 0.9× 168 0.7× 159 0.6× 116 0.6× 49 1.3k
Orhan Feyzıog̃lu Türkiye 19 799 1.6× 349 0.7× 97 0.4× 346 1.4× 185 0.9× 50 1.6k
Geerten van de Kaa Netherlands 25 326 0.7× 544 1.1× 123 0.5× 177 0.7× 80 0.4× 77 1.7k
Achille Claudio Garavelli Italy 19 265 0.5× 917 1.9× 236 0.9× 293 1.2× 323 1.7× 39 1.7k

Countries citing papers authored by Joseph Z. Shyu

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Z. Shyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Z. Shyu. 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 Joseph Z. Shyu. The network helps show where Joseph Z. Shyu may publish in the future.

Co-authorship network of co-authors of Joseph Z. Shyu

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Z. Shyu. A scholar is included among the top collaborators of Joseph Z. Shyu 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 Joseph Z. Shyu. Joseph Z. Shyu 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, Yue & Joseph Z. Shyu. (2019). Blockchain-Based Open Network in Technology Intermediation. 1–7. 3 indexed citations
2.
Lee, Yen‐Chun, et al.. (2017). Performance Evaluation of Medical Device Manufacturers Using a Hybrid Fuzzy MCDM. Journal of Scientific & Industrial Research. 76(1). 28–31. 19 indexed citations
3.
Lin, Chun‐Ling, et al.. (2014). Hybrid multi-model forecasting system: A case study on display market. Knowledge-Based Systems. 71. 279–289. 10 indexed citations
4.
Shyu, Joseph Z., et al.. (2013). Exploring the development and complements of the smart grid industry between Taiwan and China. 304–309. 1 indexed citations
5.
Liu, Che‐Hung, et al.. (2011). Applying Fuzzy AHP to study the KSFs of information security management. 22. 2026–2032. 1 indexed citations
6.
Wang, Benjamin, et al.. (2009). Changing Technology Transfer Strategies in a Non-profit Organization - An Examination of ITRI. International journal of innovative computing, information & control. 5(6). 1527–1538. 9 indexed citations
7.
Shyu, Joseph Z., et al.. (2008). A diffusion model to growth phase forecasting of 3G industry in Taiwan. 36. 2048–2056. 1 indexed citations
8.
Shyu, Joseph Z., et al.. (2008). Cross-national and cross-industrial comparison of two strategy approaches for global industrial evolution. Technological Forecasting and Social Change. 76(1). 2–25. 7 indexed citations
9.
Shyu, Joseph Z., et al.. (2008). Innovation intermediary for creating regional knowledge capabilities in knowledge cluster. 27. 831–835. 1 indexed citations
10.
Wang, Benjamin, Joseph Z. Shyu, & Gwo‐Hshiung Tzeng. (2007). Appraisal model for admitting new tenants to the incubation center at ITRI. International journal of innovative computing, information & control. 3(1). 119–130. 2 indexed citations
11.
Shyu, Joseph Z., et al.. (2007). The study of the KM gaps between personal knowledge management and enterprise knowledge management. 602–605. 1 indexed citations
12.
Shyu, Joseph Z., et al.. (2006). Developing e-commerce business models for enabling silicon intellectual property transactions. International Journal of Information Technology and Management. 5(2/3). 114–114. 8 indexed citations
13.
Shyu, Joseph Z., et al.. (2006). The Policy of High‐Tech Industry Development: The Case of Location Assessment for Biotech Industry Parks in Taiwan. Review of Policy Research. 23(2). 589–606. 12 indexed citations
14.
Chen, Hsiao‐Chi, Yi‐Chung Hu, Joseph Z. Shyu, & Gwo‐Hshiung Tzeng. (2005). Comparing Possibility Grey Forecasting with Neural network-based Fuzzy Regression by an Empirical Study. 8(2). 93–106. 2 indexed citations
15.
Shyu, Joseph Z., et al.. (2004). The innovation policy priorities in industry evolution: the case of Taiwan's semiconductor industry. International Journal of Foresight and Innovation Policy. 1(1/2). 106–106. 3 indexed citations
16.
Shyu, Joseph Z., et al.. (2004). Applying multivariate time series models to technological product sales forecasting. International Journal of Technology Management. 27(2/3). 306–306. 7 indexed citations
17.
Tzeng, Gwo‐Hshiung, et al.. (2003). Fuzzy Multiple Criteria Selection of Government-Sponsored Frontier Technology R&D Projects. SSRN Electronic Journal. 17 indexed citations
18.
Shyu, Joseph Z., et al.. (2003). Policy tools on the formation of new biotechnology firms in Taiwan. Technovation. 25(3). 281–292. 38 indexed citations
19.
Shyu, Joseph Z. & Yi‐Chia Chiu. (2002). Innovation policy for developing Taiwan’s competitive advantages. R and D Management. 32(4). 369–374. 1 indexed citations
20.
Hsu, Po‐Hsuan, et al.. (2002). A Litterman BVAR approach for production forecasting of technology industries. Technological Forecasting and Social Change. 70(1). 67–82. 13 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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