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
-
- IoT and Edge/Fog Computing 4
- Mobile Agent-Based Network Management 4
- Software System Performance and Reliability 3
- Co-authors
- Qiang Gong (4 shared papers)Huijuan Mu (11 shared papers)Lei Yang (3 shared papers)Kwei-Jay Lin (2 shared papers)Chao Jiang (4 shared papers)Xiaoxia An (4 shared papers)Liya E. Yu (6 shared papers)Bin Zhang (2 shared papers)
- Journals
- BMC Psychiatry (3 papers)Chemosphere (2 papers)BMC Public Health (2 papers)PLoS ONE (2 papers)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Na
42 papers receiving 594 citations
Peers
Comparison fields: 5 of 104
- Pollution 117
- Information Systems 155
- Computer Networks and Communications 131
- Waste Management and Disposal 45
- Clinical Psychology 67
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | 2022 | 67 | |
| 3 | 2022 | 58 | |
| 4 | 2006 | 39 | |
| 5 | 2016 | 37 | |
| 6 | 2015 | 31 | |
| 7 | 2013 | 28 | |
| 8 | 2005 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2010 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2006 | 15 | |
| 17 | 2010 | 11 | |
| 18 | 2006 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 10 |
About Jun Na
Jun Na is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Environmental Engineering and Management Information Systems, having authored 45 papers that have together received 616 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (15 papers), Advanced Software Engineering Methodologies (6 papers), Air Quality Monitoring and Forecasting (4 papers), IoT and Edge/Fog Computing (4 papers), Mobile Agent-Based Network Management (4 papers), Semantic Web and Ontologies (3 papers), Software System Performance and Reliability (3 papers) and Business Process Modeling and Analysis (3 papers). The work is most often cited by research in Pollution (117 citations), Information Systems (155 citations), Computer Networks and Communications (131 citations), Waste Management and Disposal (45 citations) and Clinical Psychology (67 citations). Jun Na has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qiang Gong, Huijuan Mu, Lei Yang, Kwei-Jay Lin, Chao Jiang, Xiaoxia An, Liya E. Yu, Bin Zhang, Yu Dai and Guowei Pan. Their work appears in journals such as BMC Psychiatry, Chemosphere, BMC Public Health, PLoS ONE and BMJ Open.
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.