Tai-Shan Hu

445 citations
31 papers · 331 indexed · h-index 11

Tai-Shan Hu

30 papers receiving 313 citations

Peers

Tai-Shan Hu
Comparison fields: 5 of 52
  • Management of Technology and Innovation 88
  • Urban Studies 70
  • Strategy and Management 142
  • Museology 17
  • Economics and Econometrics 128
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Roman Martin Sweden
Mário Vale Portugal
Rik Wenting Netherlands
Giancarlo Corò Italy
Stewart MacNeill United Kingdom
Oedzge Atzema Netherlands
Chris Van Egeraat Ireland
Elena Zukauskaite Sweden
Karl-Johan Lundquist Sweden
Sam Ock Park South Korea
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Citations per year

Countries citing papers authored by Tai-Shan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tai-Shan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai-Shan Hu. 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 Tai-Shan Hu. The network helps show where Tai-Shan Hu may publish in the future.

Co-authorship network

The 4 scholars most cited alongside Tai-Shan Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tai-Shan Hu Line = papers co-authored together Tai-Shan Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20237
3 202113
4 20202
5 201925
6 201712
7 20179
8 20153
9 201412
10
Spatial dynamics of industrial districts in knowledge cities: A case study of Hsinchu, Taiwan
20132
11
The interactive relationships and development effects among the KIBS firms and their clients in Taiwan: A comparative study
20123
12
Industrial cluster formation and evolution-the case of hsinchu area
20123
13 201123
14 20112
15 20115
16 201010
17
From Science Park to High-Tech Region: An Overview of Socioeconomic Transformation, Interactions of Technology Community and Development of Producer Services in Hsinchu
20071
18
Role of Interaction between Technological Communities and Industrial Clustering in Innovative Activity: The Case of Hsinchu District, Taiwan
20051
19
The Effects between Technological Communities Interaction and Industrial Clustering on Innovation Activity: A Case of Hsinchu District
20051
20 200368

About Tai-Shan Hu

Tai-Shan Hu is a scholar working on Urban Studies, Management of Technology and Innovation and Museology, having authored 31 papers that have together received 331 indexed citations. Recurring topics across this work include Regional Economics and Spatial Analysis (13 papers), Innovation and Knowledge Management (10 papers), Regional resilience and development (7 papers), Cultural Industries and Urban Development (7 papers), Entrepreneurship Studies and Influences (5 papers), Regional Development and Policy (5 papers), University-Industry-Government Innovation Models (4 papers) and Migration, Aging, and Tourism Studies (3 papers). The work is most often cited by research in Management of Technology and Innovation (88 citations), Urban Studies (70 citations) and Strategy and Management (142 citations). Tai-Shan Hu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Chien‐Yuan Lin, Peilei Fan, Mei Chen and Chien-Yuan Lin. Their work appears in journals such as Expert Systems with Applications, Sustainability and Urban Studies.

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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