Ming-Yuan Hsieh

860 citations
65 papers · 587 indexed · h-index 15

Ming-Yuan Hsieh

60 papers receiving 546 citations

Peers

Ming-Yuan Hsieh
Comparison fields: 5 of 100
  • Computer Science Applications 45
  • Marketing 76
  • Media Technology 48
  • Management, Monitoring, Policy and Law 65
  • Education 116
Replace James Carroll with:
James Carroll Ireland
Kian Lam Tan Malaysia
Fathey Mohammed Malaysia
Kelly Widdicks United Kingdom
Felix Köbler Germany
Shiau Wei Chan Malaysia
Alexandra den Heijer Netherlands
Mohammad Dalvi‐Esfahani Malaysia
Yiming Guo China
Brenda Scholtz South Africa
Ming-Yuan Hsieh relative to James Carroll Ireland James Carroll's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ming-Yuan Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Yuan Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Yuan Hsieh. 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-Yuan Hsieh. The network helps show where Ming-Yuan Hsieh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20231
4 20231
5 20231
6 202324
7 20231
8 20236
9 202213
10 202215
11 202212
12 202219
13 202120
14 202022
15 202037
16 202024
17 202022
18
The motivation toward learning among Czech high school students and influence of selected variables on motivation
20188
19 20168
20 20144

About Ming-Yuan Hsieh

Ming-Yuan Hsieh is a scholar working on Computer Science Applications, Marketing and Information Systems and Management, having authored 65 papers that have together received 587 indexed citations. Recurring topics across this work include Environmental Sustainability in Business (6 papers), Analog and Mixed-Signal Circuit Design (5 papers), Environmental Education and Sustainability (5 papers), Sustainability in Higher Education (5 papers), Technology Adoption and User Behaviour (5 papers), Online Learning and Analytics (4 papers), Radio Frequency Integrated Circuit Design (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Computer Science Applications (45 citations), Marketing (76 citations) and Media Technology (48 citations). Ming-Yuan Hsieh has collaborated with scholars based in Taiwan, Russia and Japan. Frequent co-authors include Yung‐Kuan Chan, Muhammet Uşak, Yueh‐Min Huang, Hua‐Pin Chen, Yu‐Chin Hsu, Ching‐Torng Lin, Sheam-Chyun Lin, Jih‐Shuin Jerng, Li‐Chin Chen and Huey‐Wen Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

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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