Hung‐Ming Lin

27 papers receiving 448 citations

Hung‐Ming Lin's Hit Papers

An analysis of children’ interaction with an AI chatbot and its impact on their interest in reading 2022 · 139 citations
1390+1+2Years since publication4080120

Peers

Hung‐Ming Lin
Comparison fields: 5 of 97
  • Computer Science Applications 87
  • Health Informatics 17
  • General Decision Sciences 13
  • Information Systems and Management 48
  • Developmental and Educational Psychology 76
Replace Thiemo Wambsganß with:
Thiemo Wambsganß Switzerland
Jian Dai China
Mireia Ribera Spain
Teng Yu China
Onyebuchi Nneamaka Chisom United Kingdom
Rocsana Bucea-Manea-Țoniş Romania
Josef Guggemos Switzerland
Kingsley Ofosu‐Ampong Ghana
Noawanit Songkram Thailand
Hortensia Gorski Romania
Hung‐Ming Lin relative to Thiemo Wambsganß Switzerland Thiemo Wambsganß's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hung‐Ming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An analysis of children’ interaction with an AI chatbot and its impact on their interest in reading
Hit paper breakdown →
2022139
2 2019101
3 200355
4 200740
5 202320
6 201315
7 199011
8 20139
9 20248
10 20066
11 20236
12 20236
13 20116
14 20195
15 20065
16 20115
17 20245
18 20074
19 20204
20 20084

About Hung‐Ming Lin

Hung‐Ming Lin is a scholar working on Developmental and Educational Psychology, Social Psychology, Cognitive Neuroscience, Education and General Decision Sciences, having authored 27 papers that have together received 473 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (4 papers), Decision-Making and Behavioral Economics (4 papers), Online and Blended Learning (3 papers), Technology Adoption and User Behaviour (3 papers), Color perception and design (2 papers), Experimental Behavioral Economics Studies (2 papers), Behavioral Health and Interventions (2 papers) and Multisensory perception and integration (2 papers). The work is most often cited by research in Computer Science Applications (87 citations), Health Informatics (17 citations), General Decision Sciences (13 citations), Information Systems and Management (48 citations) and Developmental and Educational Psychology (76 citations). Hung‐Ming Lin has collaborated with scholars based in Taiwan, United States and United Arab Emirates. Frequent co-authors include Chen‐Chung Liu, Chia‐Hui Chang, Chin‐Chung Tsai, Shih‐Chieh Chuang, Jyh‐Chong Liang, Min‐Hsien Lee, Hsin‐Yi Chang, Meichun Lydia Wen, Fabian C. Hadipriono and Hui-Yi Lo. Their work appears in journals such as Computers & Education, Materials, Marketing Letters, Journal of Sensory Studies and International Journal of Research in Marketing.

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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