Jun Na
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
Papers in
-
- Service-Oriented Architecture and Web Services 15
-
- Mobile Agent-Based Network Management 4
- IoT and Edge/Fog Computing 3
- Co-authors
- Lei Yang (5 shared papers)Qiang Gong (4 shared papers)Huijuan Mu (11 shared papers)Kwei-Jay Lin (2 shared papers)Chao Jiang (4 shared papers)Guowei Pan (9 shared papers)Bin Zhang (2 shared papers)Xiaoxia An (4 shared papers)
- Journals
- BMC Psychiatry (3 papers)Chemosphere (2 papers)PLoS ONE (2 papers)Asia-Pacific Psychiatry (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Na
38 papers receiving 509 citations
Peers
Comparison fields: 5 of 108
- Pollution 105
- Information Systems 138
- Industrial and Manufacturing Engineering 47
- Computer Networks and Communications 117
- Clinical Psychology 103
Countries citing papers authored by Jun Na
This map shows the geographic impact of Jun Na'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 Jun Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Na more than expected).
Fields of papers citing papers by Jun Na
This network shows the impact of papers produced by Jun Na. 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 Jun Na. The network helps show where Jun Na may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Na, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2022 | 57 | |
| 3 | 2022 | 53 | |
| 4 | 2016 | 37 | |
| 5 | 2006 | 35 | |
| 6 | 2015 | 28 | |
| 7 | 2013 | 26 | |
| 8 | 2005 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2017 | 18 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2010 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2006 | 13 | |
| 16 | 2006 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2009 | 7 |
About Jun Na
Jun Na is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Clinical Psychology and Infectious Diseases, having authored 43 papers that have together received 529 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (15 papers), Advanced Software Engineering Methodologies (6 papers), HIV/AIDS Research and Interventions (4 papers), LGBTQ Health, Identity, and Policy (4 papers), Mobile Agent-Based Network Management (4 papers), Early Childhood Education and Development (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Pollution (105 citations), Information Systems (138 citations), Industrial and Manufacturing Engineering (47 citations), Computer Networks and Communications (117 citations) and Clinical Psychology (103 citations). Jun Na has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lei Yang, Qiang Gong, Huijuan Mu, Kwei-Jay Lin, Chao Jiang, Guowei Pan, Bin Zhang, Xiaoxia An, Liya E. Yu and Lianzheng Yu. Their work appears in journals such as BMC Psychiatry, Chemosphere, PLoS ONE, Asia-Pacific Psychiatry and Scientific Reports.
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.