Feng‐Shang Wu

814 citations
17 papers · 620 indexed · h-index 8
Topics
Digital Platforms and Economics (7 papers)Innovation Diffusion and Forecasting (6 papers)Technology Adoption and User Behaviour (3 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Feng‐Shang Wu

14 papers receiving 587 citations

Peers

Feng‐Shang Wu
Comparison fields: 5 of 63
  • Strategy and Management 329
  • Marketing 291
  • Economics and Econometrics 177
  • Management Science and Operations Research 134
  • Information Systems and Management 114
Replace Viet T. Dao with:
Viet T. Dao United States
Michael Rachinger Austria
Christiana Müller Austria
Shanyue Jin South Korea
Sabai Khin Malaysia
Francesco Domenico Sandulli Spain
Liliana Ionescu-Feleagă Romania
Anna Claudia Pellicelli Italy
Nuray Tezcan Türkiye
Gharib Hashem Egypt
Feng‐Shang Wu relative to Viet T. Dao United States Viet T. Dao's profile →
Citations per field
00.5×3.8×
Viet T. Dao · 1×
Citations per year

Countries citing papers authored by Feng‐Shang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Shang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Shang Wu. 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 Feng‐Shang Wu. The network helps show where Feng‐Shang Wu may publish in the future.

Co-authorship network of co-authors of Feng‐Shang Wu

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 1
3 16
4 6
5 1
6 115
7 2
8 7
9
Identifying determinants of broadband diffusion by stage and by service
0
10 7
11 40
12 273
13
Integrated methodologies for mapping and forecasting science and technology trends: A case of etching technology
5
14 14
15 7
16 70
17 55

About Feng‐Shang Wu

Feng‐Shang Wu is a scholar working on Strategy and Management, Management Science and Operations Research and Information Systems and Management, having authored 17 papers that have together received 620 indexed citations. Recurring topics across this work include Digital Platforms and Economics (7 papers), Innovation Diffusion and Forecasting (6 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Marketing (291 citations), Strategy and Management (329 citations) and Information Systems and Management (114 citations). Feng‐Shang Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Shan Chen, Ching‐Hsun Chang, Yung‐Shen Yen, David C. Yen, Xielin Liu, Chia‐Chang Tsai, Hsin‐Ning Su, Jia‐Lang Seng, Yan Li and Tzu-Chieh Tsai. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Technological Forecasting and Social Change.

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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