Juite Wang

2.3k citations
41 papers · 1.8k · h-index 22

Impact in

Papers in

Juite Wang

41 papers receiving 1.7k citations

Peers

Juite Wang
Comparison fields: 5 of 107
  • Management Science and Operations Research 718
  • Management of Technology and Innovation 412
  • Management Information Systems 345
  • Industrial and Manufacturing Engineering 336
  • Strategy and Management 417
Replace Kostas Metaxiotis with:
Kostas Metaxiotis Greece
Liang‐Hsuan Chen Taiwan
Joseph Z. Shyu Taiwan
Hannan Amoozad Mahdiraji Iran
James M. Tien United States
Marc J. Schniederjans United States
E. Ertuğrul Karsak Türkiye
Ming‐Lu Wu Hong Kong
Zeger Degraeve United Kingdom
R.P. Mohanty India
Juite Wang relative to Kostas Metaxiotis Greece Kostas Metaxiotis's profile →
Citations per field
00.5×1.5×2.1×
Kostas Metaxiotis · 1×
Citations per year

Countries citing papers authored by Juite Wang

Since Specialization
Citations

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

Fields of papers citing papers by Juite Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Juite Wang, 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 Juite Wang Line = papers co-authored together Juite Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005220
2 2004165
3 1994147
4 2010141
5 2003120
6 2003109
7 201490
8 200688
9 200184
10 200270
11 201964
12 201460
13 200851
14 202040
15 200240
16 202138
17 201137
18 202030
19 200428
20 201427

About Juite Wang

Juite Wang is a scholar working on Management Science and Operations Research, Management of Technology and Innovation, Strategy and Management, Management Information Systems and Finance, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (9 papers), Capital Investment and Risk Analysis (6 papers), Product Development and Customization (6 papers), Technology Adoption and User Behaviour (6 papers), Design Education and Practice (5 papers), Quality Function Deployment in Product Design (5 papers), Intellectual Property and Patents (4 papers) and Innovation and Knowledge Management (4 papers). The work is most often cited by research in Management Science and Operations Research (718 citations), Management of Technology and Innovation (412 citations), Management Information Systems (345 citations), Industrial and Manufacturing Engineering (336 citations) and Strategy and Management (417 citations). Juite Wang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Jung‐Yu Lai, Andrew Kusiak, Travis Larson, Yu-Hsiang Huang, Willie Lin, Chih-Hsuan Wang, J. S. Lee, Chi-Young Wang, Chih-Hsin Chang and Yi‐Hsuan Lin. Their work appears in journals such as Computers & Industrial Engineering, Fuzzy Sets and Systems, Technological Forecasting and Social Change, International Journal of Production Economics and European Journal of Operational Research.

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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