Min‐Ling Hung

1.6k citations
13 papers · 1.1k · 1 hit paper · h-index 8

Impact in

Papers in

Min‐Ling Hung

12 papers receiving 1.0k citations

Min‐Ling Hung's Hit Papers

Learner readiness for online learning: Scale development and student perceptions 2010 · 703 citations
7030+5+10Years since publication200400600

Peers

Min‐Ling Hung
Comparison fields: 5 of 89
  • Computer Science Applications 215
  • Education 853
  • Information Systems and Management 96
  • Information Systems 293
  • Developmental and Educational Psychology 146
Replace Chao‐Hsiu Chen with:
Chao‐Hsiu Chen Taiwan
Silke Vanslambrouck Belgium
Hae‐Deok Song South Korea
Hungwei Tseng United States
Brigitte Maier Austria
Huma Akram China
Emtinan Alqurashi United States
Birgit Eickelmann Germany
Danhui Zhang China
Valerie Irvine Canada
Min‐Ling Hung relative to Chao‐Hsiu Chen Taiwan Chao‐Hsiu Chen's profile →
Citations per field
00.5×1.5×
Chao‐Hsiu Chen · 1×
Citations per year

Countries citing papers authored by Min‐Ling Hung

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Ling Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Ling Hung. 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 Min‐Ling Hung. The network helps show where Min‐Ling Hung may publish in the future.

Co-authors

The 16 scholars most cited alongside Min‐Ling Hung, 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 Min‐Ling Hung Line = papers co-authored together Min‐Ling Hung links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Learner readiness for online learning: Scale development and student perceptions
Hit paper breakdown →
2010703
2 2015171
3 2014156
4 201926
5 201824
6 202123
7 20228
8 20218
9 20214
10 20164
11 20211
12 20151
13 20240

About Min‐Ling Hung

Min‐Ling Hung is a scholar working on Education, Developmental and Educational Psychology, Information Systems, Communication and Social Psychology, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Online and Blended Learning (7 papers), Innovative Teaching and Learning Methods (4 papers), Education and Communication Studies (2 papers), Knowledge Management and Sharing (2 papers), Technology Adoption and User Behaviour (2 papers), Gender and Technology in Education (2 papers), Education and Learning Interventions (2 papers) and Impact of Technology on Adolescents (2 papers). The work is most often cited by research in Computer Science Applications (215 citations), Education (853 citations), Information Systems and Management (96 citations), Information Systems (293 citations) and Developmental and Educational Psychology (146 citations). Min‐Ling Hung has collaborated with scholars based in Taiwan and Indonesia. Frequent co-authors include Chien Chou, Zangyuan Own, Chao‐Hsiu Chen, Chia‐Wen Tsai, I‐Ching Lin, Ying-Li Lin, Pei‐Di Shen, Yen‐Tze Liu, Yuwen Yang and Ibrahim Bafadal. Their work appears in journals such as Computers & Education, The Asia-Pacific Education Researcher, Archives of Osteoporosis, British Journal of Educational Technology and Universal Access in the Information Society.

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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