Dongyan Nan

772 citations
36 papers · 465 · h-index 13

Impact in

Papers in

Dongyan Nan

36 papers receiving 454 citations

Peers

Dongyan Nan
Comparison fields: 5 of 102
  • Information Systems and Management 89
  • Marketing 82
  • Health Informatics 10
  • Communication 42
  • Human-Computer Interaction 27
Replace Ricardo Limongi with:
Ricardo Limongi Brazil
Tingting Hou China
Christine Pitt Sweden
Radu Lixăndroiu Romania
Shahper Richter New Zealand
Mohamad Taha Ijab Malaysia
Udo Gottlieb Australia
Dandison Ukpabi Finland
Dongyan Nan relative to Ricardo Limongi Brazil Ricardo Limongi's profile →
Citations per field
00.5×2.7×
Ricardo Limongi · 1×
Citations per year

Countries citing papers authored by Dongyan Nan

Since Specialization
Citations

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

Fields of papers citing papers by Dongyan Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongyan Nan. 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 Dongyan Nan. The network helps show where Dongyan Nan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 202352
3 202036
4 202131
5 202226
6 202224
7 202420
8 202317
9 202317
10 202315
11 202114
12 202413
13 202213
14 202312
15 202210
16 201010
17 20218
18 20228
19 20227
20 20216

About Dongyan Nan

Dongyan Nan is a scholar working on Sociology and Political Science, Information Systems and Management, Organizational Behavior and Human Resource Management, Marketing and Literature and Literary Theory, having authored 36 papers that have together received 465 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Technology Adoption and User Behaviour (10 papers), Impact of Technology on Adolescents (8 papers), Customer Service Quality and Loyalty (5 papers), Media Influence and Health (4 papers), Digital Games and Media (4 papers), Online and Blended Learning (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Information Systems and Management (89 citations), Marketing (82 citations), Health Informatics (10 citations), Communication (42 citations) and Human-Computer Interaction (27 citations). Dongyan Nan has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Jang Hyun Kim, Shunan Zhang, Xiangying Zhao, Chaomei Chen, Ki Joon Kim, Edward Shin, Eunil Park, Sarah Lai‐Yin Cheah, Jinyoung Han and Ángel P. del Pobil. Their work appears in journals such as Frontiers in Psychology, The International Review of Research in Open and Distributed Learning, Sustainability, Computers, materials & continua/Computers, materials & continua (Print) and International Journal of Human-Computer Interaction.

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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