Jun Pan
Impact in
- Language and Linguistics top 5%
- Translation Studies and Practices
- Rehabilitation top 10%
- Elbow and Forearm Trauma Treatment
Papers in
-
- Interpreting and Communication in Healthcare 18
-
- Translation Studies and Practices 13
- EFL/ESL Teaching and Learning 5
- Co-authors
- Jackie Xiu Yan (17 shared papers)Honghua Wang (16 shared papers)Shan Ou (3 shared papers)Li Hua (2 shared papers)Quanhua Liu (2 shared papers)Xiaobo Zhou (1 shared paper)Guodong Liu (2 shared papers)Xiaoshuang Ma (1 shared paper)
- Journals
- The Interpreter and Translator Trainer (3 papers)Journal of Orthopaedic Surgery and Research (2 papers)Applied Mathematics and Nonlinear Sciences (2 papers)Perspectives (2 papers)Energy Conversion and Management X (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Pan
79 papers receiving 810 citations
Peers
Comparison fields: 5 of 144
- Language and Linguistics 133
- Rehabilitation 42
- Sensory Systems 29
- Energy Engineering and Power Technology 20
- Horticulture 6
Countries citing papers authored by Jun Pan
This map shows the geographic impact of Jun Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).
Fields of papers citing papers by Jun Pan
This network shows the impact of papers produced by Jun Pan. 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 Pan. The network helps show where Jun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Pan, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2022 | 48 | |
| 3 | 2019 | 42 | |
| 4 | 1999 | 42 | |
| 5 | 2014 | 32 | |
| 6 | 2013 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2010 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2012 | 21 | |
| 15 | 2012 | 21 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2024 | 14 | |
| 20 | 2011 | 12 |
About Jun Pan
Jun Pan is a scholar working on General Health Professions, Language and Linguistics, Artificial Intelligence, Surgery and Electrical and Electronic Engineering, having authored 87 papers that have together received 843 indexed citations. Recurring topics across this work include Interpreting and Communication in Healthcare (18 papers), Translation Studies and Practices (13 papers), Natural Language Processing Techniques (7 papers), EFL/ESL Teaching and Learning (5 papers), Hybrid Renewable Energy Systems (5 papers), Elbow and Forearm Trauma Treatment (4 papers), Discourse Analysis in Language Studies (4 papers) and Bone fractures and treatments (3 papers). The work is most often cited by research in Language and Linguistics (133 citations), Rehabilitation (42 citations), Sensory Systems (29 citations), Energy Engineering and Power Technology (20 citations) and Horticulture (6 citations). Jun Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jackie Xiu Yan, Honghua Wang, Shan Ou, Li Hua, Quanhua Liu, Xiaobo Zhou, Guodong Liu, Xiaoshuang Ma, Xiangchao Meng and Penghai Wu. Their work appears in journals such as The Interpreter and Translator Trainer, Journal of Orthopaedic Surgery and Research, Applied Mathematics and Nonlinear Sciences, Perspectives and Energy Conversion and Management X.
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.