Cheng-Feng Wu

45 papers receiving 549 citations

Peers

Cheng-Feng Wu
Comparison fields: 5 of 84
  • Management Information Systems 154
  • Strategy and Management 137
  • Economics and Econometrics 237
  • Management Science and Operations Research 92
  • Renewable Energy, Sustainability and the Environment 83
Replace Cuicui Luo with:
Cuicui Luo China
Elena Fumagalli Italy
Tao Pang United States
Elisabetta Allevi Italy
Josef Jablonský Czechia
Phi-Hung Nguyen Vietnam
Tian Li China
Yuze Li China
Qi Qi China
Ahmed Ghorbel Tunisia
Cheng-Feng Wu relative to Cuicui Luo China Cuicui Luo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cheng-Feng Wu

Since Specialization
Citations

This map shows the geographic impact of Cheng-Feng 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-Feng 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-Feng Wu more than expected).

Fields of papers citing papers by Cheng-Feng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201091
2 201753
3 201946
4 202226
5 201324
6 202023
7 202223
8 202121
9 202021
10 202320
11 202019
12 201918
13 202118
14 202115
15 202013
16 202112
17
An inventory model for deteriorating items with inventory-dependent and linear trend demand under trade credit
201511
18 202111
19 201410
20 20239

About Cheng-Feng Wu

Cheng-Feng Wu is a scholar working on Economics and Econometrics, Management Information Systems, Strategy and Management, Accounting and Sociology and Political Science, having authored 49 papers that have together received 571 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (13 papers), Supply Chain and Inventory Management (12 papers), Sustainable Supply Chain Management (11 papers), Market Dynamics and Volatility (7 papers), Working Capital and Financial Performance (6 papers), Diverse Aspects of Tourism Research (5 papers), Energy, Environment, and Transportation Policies (5 papers) and Global Health Care Issues (4 papers). The work is most often cited by research in Management Information Systems (154 citations), Strategy and Management (137 citations), Economics and Econometrics (237 citations), Management Science and Operations Research (92 citations) and Renewable Energy, Sustainability and the Environment (83 citations). Cheng-Feng Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qiuhong Zhao, Shian-Chang Huang, Tsangyao Chang, C.M. Wang, Fangjhy Li, Tsung‐Pao Wu, Chei‐Chang Chiou, Hung‐Che Wu, Hsin‐Hung Wu and Yu-Min Wang. Their work appears in journals such as Frontiers in Public Health, Alexandria Engineering Journal, Economic Analysis and Policy, International Journal of Environmental Research and Public Health and Computational Economics.

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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