Ming‐Cheng Wu

2.0k citations
51 papers · 1.4k · 1 hit paper · h-index 14

Impact in

Papers in

Ming‐Cheng Wu

47 papers receiving 1.3k citations

Hit Papers

Investigating the determinants and age and gender differences in the acceptance of mobile learning 2008 · 887 citations
8870+6+12Years since publication250500750

Peers

Ming‐Cheng Wu
Comparison fields: 5 of 147
  • Information Systems and Management 529
  • Insect Science 200
  • Information Systems 330
  • Communication 81
  • Computer Science Applications 61
Replace Quentin Jones with:
Quentin Jones United States
Isabel Gómez Mexico
Muhammad Rafiq Pakistan
Klarissa Chang Singapore
Ronald E. Anderson United States
Rong Tang United States
Mark Toleman Australia
Sergio Román Spain
Junghoon Moon South Korea
Zhe Qu China
Ming‐Cheng Wu relative to Quentin Jones United States Quentin Jones's profile →
Citations per field
00.5×6.7×
Quentin Jones · 1×
Citations per year

Countries citing papers authored by Ming‐Cheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Cheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Investigating the determinants and age and gender differences in the acceptance of mobile learning
Hit paper breakdown →
2008887
2 201779
3 201456
4 201530
5 201229
6 202029
7 202027
8 202125
9 202123
10 200623
11 202319
12 202117
13 201517
14 202115
15 200813
16 201413
17 200712
18 202011
19 200811
20 201311

About Ming‐Cheng Wu

Ming‐Cheng Wu is a scholar working on Insect Science, Strategy and Management, Accounting, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (17 papers), Corporate Finance and Governance (11 papers), Plant and animal studies (11 papers), Financial Reporting and Valuation Research (10 papers), Bee Products Chemical Analysis (8 papers), Insect and Arachnid Ecology and Behavior (8 papers), Capital Investment and Risk Analysis (6 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Information Systems and Management (529 citations), Insect Science (200 citations), Information Systems (330 citations), Communication (81 citations) and Computer Science Applications (61 citations). Ming‐Cheng Wu has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Yi‐Shun Wang, Hsiu‐Yuan Wang, Kuang‐Hui Lu, Jason Micklefield, En‐Cheng Yang, Chun‐Yao Tseng, Christopher Robinson, Helen A. Vincent, Phillip T. Lowe and David Leys. Their work appears in journals such as Scientific Reports, Foods, Insects, Journal of the American Chemical Society and Plant Disease.

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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