Juite Wang

2.2k total citations
41 papers, 1.7k citations indexed

About

Juite Wang is a scholar working on Management Science and Operations Research, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Juite Wang has authored 41 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 15 papers in Management of Technology and Innovation and 11 papers in Strategy and Management. Recurrent topics in Juite Wang's work include Multi-Criteria Decision Making (9 papers), Product Development and Customization (6 papers) and Technology Adoption and User Behaviour (6 papers). Juite Wang is often cited by papers focused on Multi-Criteria Decision Making (9 papers), Product Development and Customization (6 papers) and Technology Adoption and User Behaviour (6 papers). Juite Wang collaborates with scholars based in Taiwan and United States. Juite Wang's co-authors include Jung‐Yu Lai, Andrew Kusiak, Yu-Hsiang Huang, Willie Lin, Chih-Hsuan Wang, J. S. Lee, Chi-Young Wang, Chih-Hsin Chang, Yi‐Hsuan Lin and Chao Dai and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Juite Wang

39 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Juite Wang Taiwan	21	658	391	385	317	300	41	1.7k
Michael T. Pich France	7	806 1.2×	601 1.5×	309 0.8×	295 0.9×	94 0.3×	9	1.6k
Bart L. MacCarthy United Kingdom	32	437 0.7×	857 2.2×	478 1.2×	913 2.9×	948 3.2×	86	2.7k
Liang‐Hsuan Chen Taiwan	26	777 1.2×	480 1.2×	375 1.0×	401 1.3×	203 0.7×	48	1.9k
Bengt Klefsjö Sweden	28	652 1.0×	847 2.2×	205 0.5×	1.1k 3.3×	141 0.5×	88	3.1k
Marc J. Schniederjans United States	29	860 1.3×	689 1.8×	219 0.6×	929 2.9×	415 1.4×	133	2.9k
Ming‐Lu Wu Hong Kong	16	777 1.2×	292 0.7×	868 2.3×	478 1.5×	121 0.4×	30	1.8k
Kostas Metaxiotis Greece	26	527 0.8×	284 0.7×	181 0.5×	279 0.9×	127 0.4×	91	2.0k
R.P. Mohanty India	25	613 0.9×	998 2.6×	250 0.6×	810 2.6×	312 1.0×	151	2.1k
Gerrit Müller Norway	17	194 0.3×	221 0.6×	258 0.7×	109 0.3×	115 0.4×	150	1.5k
James M. Tien United States	20	323 0.5×	166 0.4×	155 0.4×	302 1.0×	289 1.0×	79	1.5k

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-authorship network of co-authors of Juite Wang

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

All Works

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20 of 20 papers shown

Wang, Juite. (2025). Exploring technological landscape to uncover technological opportunities for immersive technologies in the Metaverse using patent data. Scientometrics. 130(7). 3505–3536.

Lai, Jung‐Yu, et al.. (2024). The effects of AIoT-SC strategic alignment on SC intelligence and NPD performance. Supply Chain Forum an International Journal. 27(1). 147–165.

Wang, Juite, et al.. (2023). Deep learning-based social media mining for user experience analysis: A case study of smart home products. Technology in Society. 73. 102220–102220. 18 indexed citations

Wang, Juite, et al.. (2023). Early discovery of emerging multi-technology convergence for analyzing technology opportunities from patent data: the case of smart health. Scientometrics. 128(8). 4167–4196. 9 indexed citations

Wang, Juite & J. S. Lee. (2023). Predicting and analyzing technology convergence for exploring technological opportunities in the smart health industry. Computers & Industrial Engineering. 182. 109352–109352. 19 indexed citations

Wang, Juite, Jung‐Yu Lai, & Yi‐Hsuan Lin. (2023). Social media analytics for mining customer complaints to explore product opportunities. Computers & Industrial Engineering. 178. 109104–109104. 16 indexed citations

Wang, Juite, et al.. (2019). A novelty detection patent mining approach for analyzing technological opportunities. Advanced Engineering Informatics. 42. 100941–100941. 57 indexed citations

Lai, Jung‐Yu & Juite Wang. (2017). Exploring the impacts of perceived e-collaboration service convenience on new product development in Taiwanese IC design companies. Information Technology and Management. 19(2). 107–120. 4 indexed citations

Wang, Juite, et al.. (2016). A Risk-based Real Options Framework for Flexible Technology Planning. 279–286. 1 indexed citations

10.

Wang, Juite. (2015). Structuring innovation funnels for R&D projects under uncertainty. R and D Management. 47(1). 127–140. 10 indexed citations

11.

Wang, Chih-Hsuan & Juite Wang. (2014). Combining fuzzy AHP and fuzzy Kano to optimize product varieties for smart cameras: A zero-one integer programming perspective. Applied Soft Computing. 22. 410–416. 55 indexed citations

12.

Wang, Juite. (2011). Flexible decision making in uncertain R&D projects. 62. 32–35. 1 indexed citations

13.

Wang, Juite, et al.. (2011). Flexibility planning for managing R&D projects under risk. International Journal of Production Economics. 135(2). 823–831. 35 indexed citations

14.

Wang, Juite, Willie Lin, & Yu-Hsiang Huang. (2010). A performance-oriented risk management framework for innovative R&D projects. Technovation. 30(11-12). 601–611. 125 indexed citations

15.

Wang, Juite, et al.. (2005). A STUDY OF THE IMPACT OF ACTIVITY OVERLAPPING ON DEVELOPMENT LEAD-TIME IN DESIGN CHAIN. Journal of the Chinese Institute of Industrial Engineers. 22(4). 293–300. 6 indexed citations

16.

Wang, Juite & Chao Dai. (2004). A fuzzy constraint satisfaction approach for electronic shopping assistance. Expert Systems with Applications. 27(4). 593–607. 5 indexed citations

17.

Wang, Juite, et al.. (2004). Fuzzy decision modeling for supply chain management. Fuzzy Sets and Systems. 150(1). 107–127. 151 indexed citations

18.

Wang, Juite, et al.. (2003). A fuzzy multicriteria group decision making approach to select configuration items for software development. Fuzzy Sets and Systems. 134(3). 343–363. 106 indexed citations

19.

Kusiak, Andrew & Juite Wang. (1994). Negotiation in engineering design. Group Decision and Negotiation. 3(1). 69–91. 10 indexed citations

20.

Kusiak, Andrew, et al.. (1994). Reengineering of design and manufacturing processes. Computers & Industrial Engineering. 26(3). 521–536. 138 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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