Cheng‐Ru Wu

70 papers receiving 1.5k citations

Peers

Cheng‐Ru Wu
Comparison fields: 5 of 118
  • Management Science and Operations Research 737
  • Management of Technology and Innovation 223
  • Management Information Systems 205
  • Strategy and Management 295
  • Organizational Behavior and Human Resource Management 165
Replace Amir Albadvi with:
Amir Albadvi Iran
Ahmet Beşkese Türkiye
Yu-Ting Lee Taiwan
Adrien Presley United States
Amin Mahmoudi China
Joseph Z. Shyu Taiwan
Romualdas Ginevičius Lithuania
Özgür Kabak Türkiye
İhsan Yüksel Türkiye
Naomi Brookes United Kingdom
Cheng‐Ru Wu relative to Amir Albadvi Iran Amir Albadvi's profile →
Citations per field
00.5×1.5×
Amir Albadvi · 1×
Citations per year

Countries citing papers authored by Cheng‐Ru Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Ru Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cheng‐Ru 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 Cheng‐Ru Wu Line = papers co-authored together Cheng‐Ru Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007217
2 2006148
3 2007116
4 2007104
5 201093
6 200788
7 200884
8 202182
9 200765
10 200755
11 200839
12 200936
13
A Fuzzy ANP-based Approach to Evaluate Medical Organizational Performance
200834
14 202234
15 202231
16 202031
17 200627
18 200627
19 200724
20 200824

About Cheng‐Ru Wu

Cheng‐Ru Wu is a scholar working on Management Science and Operations Research, Management Information Systems, Finance, Management of Technology and Innovation and Economics and Econometrics, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (24 papers), Advancements in Solid Oxide Fuel Cells (11 papers), Quality Function Deployment in Product Design (10 papers), Capital Investment and Risk Analysis (9 papers), Economic Growth and Productivity (8 papers), Efficiency Analysis Using DEA (8 papers), Fuel Cells and Related Materials (8 papers) and Climate Change Policy and Economics (7 papers). The work is most often cited by research in Management Science and Operations Research (737 citations), Management of Technology and Innovation (223 citations), Management Information Systems (205 citations), Strategy and Management (295 citations) and Organizational Behavior and Human Resource Management (165 citations). Cheng‐Ru Wu has collaborated with scholars based in Taiwan, China and Hong Kong. Frequent co-authors include Chin‐Tsai Lin, Che‐Wei Chang, Huang-Chu Chen, Hung‐Lung Lin, Pei‐Hsuan Tsai, Qing Du, Kui Jiao, Pi‐Fang Hsu, Meng Ni and Yating Li. Their work appears in journals such as Journal of Testing and Evaluation, Quality & Quantity, Expert Systems with Applications, International Journal of Energy Research and International Journal of Hydrogen Energy.

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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