Chun-I Wu

592 citations
23 papers · 461 · h-index 11

Impact in

Papers in

Chun-I Wu

23 papers receiving 420 citations

Peers

Chun-I Wu
Comparison fields: 5 of 68
  • Management Information Systems 169
  • Strategy and Management 181
  • Computer Science Applications 61
  • Communication 37
  • Business and International Management 5
Replace Jamie Y. T. Chang with:
Jamie Y. T. Chang Taiwan
Dawn R. Utley United States
Jie Lin China
Seungjin Oh South Korea
Rosemary H. Wild United States
William E. Hefley United States
Richard J. Barson United Kingdom
Jungtae Mun South Korea
Daniel Szopinski Germany
Soraya Sedkaoui Algeria
Chun-I Wu relative to Jamie Y. T. Chang Taiwan Jamie Y. T. Chang's profile →
Citations per field
00.5×2×3×3.6×
Jamie Y. T. Chang · 1×
Citations per year

Countries citing papers authored by Chun-I Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chun-I Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-I 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 Chun-I Wu. The network helps show where Chun-I Wu may publish in the future.

Co-authors

The 23 scholars most cited alongside Chun-I Wu, 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 Chun-I Wu Line = papers co-authored together Chun-I Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200890
2 200884
3 200552
4 202247
5 200540
6 200928
7 200617
8 200916
9 201815
10 201914
11 201811
12 20159
13 20248
14 20247
15 20155
16 20104
17 20243
18 20243
19
Design of fractional-order PID controller for vector-controlled induction motors
20093
20 20142

About Chun-I Wu

Chun-I Wu is a scholar working on Management Information Systems, Strategy and Management, Control and Systems Engineering, Computer Networks and Communications and Materials Chemistry, having authored 23 papers that have together received 461 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (6 papers), Advanced Thermoelectric Materials and Devices (5 papers), Quality and Supply Management (4 papers), Distributed Control Multi-Agent Systems (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Control and Dynamics of Mobile Robots (3 papers), Thermal Radiation and Cooling Technologies (2 papers) and Competitive and Knowledge Intelligence (2 papers). The work is most often cited by research in Management Information Systems (169 citations), Strategy and Management (181 citations), Computer Science Applications (61 citations), Communication (37 citations) and Business and International Management (5 citations). Chun-I Wu has collaborated with scholars based in Taiwan, Poland and Germany. Frequent co-authors include Chinho Lin, Yeong‐Hwa Chang, Hung-Wei Lin, Yi-Cheng Chung, Zhen Bao, Ru-Shi Liu, Hui‐Ming Wee, Wen‐Tse Huang, Slawomir Maksymilian Kaczmarek and Hsiao-Yu Huang. Their work appears in journals such as Energies, Expert Systems with Applications, International Journal of Quality & Reliability Management, Total Quality Management & Business Excellence and Applied Sciences.

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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