Jun Long
Impact in
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- Complex Network Analysis Techniques
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- Energy Efficient Wireless Sensor Networks
- Security in Wireless Sensor Networks
- IoT and Edge/Fog Computing
Papers in
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- Advanced Image and Video Retrieval Techniques 29
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- Advanced Graph Neural Networks 8
- Semantic Web and Ontologies 6
- Topic Modeling 5
- Co-authors
- Zuping Zhang (12 shared papers)Damien Hanyurwimfura (2 shared papers)Zhan Yang (36 shared papers)Kaoru Ota (5 shared papers)Mianxiong Dong (5 shared papers)Anfeng Liu (11 shared papers)Hao Zhang (2 shared papers)Jinfang Sheng (7 shared papers)
- Journals
- IEEE Access (11 papers)Expert Systems with Applications (9 papers)Knowledge-Based Systems (7 papers)Information Processing & Management (4 papers)Multimedia Tools and Applications (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Long
157 papers receiving 2.6k citations
Jun Long's Hit Papers
Peers
Comparison fields: 5 of 121
- Statistical and Nonlinear Physics 328
- Computer Networks and Communications 543
- Artificial Intelligence 793
- Computer Vision and Pattern Recognition 461
- Health Informatics 14
Countries citing papers authored by Jun Long
This map shows the geographic impact of Jun Long'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 Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Long more than expected).
Fields of papers citing papers by Jun Long
This network shows the impact of papers produced by Jun Long. 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 Long. The network helps show where Jun Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Long, 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 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Lexicon-based Approach for Hate Speech Detection Hit paper breakdown → | 2015 | 367 |
| 2 | 2016 | 215 | |
| 3 | HiFuse: Hierarchical multi-scale feature fusion network for medical image classification Hit paper breakdown → | 2023 | 215 |
| 4 | 2021 | 120 | |
| 5 | 2014 | 100 | |
| 6 | 2018 | 95 | |
| 7 | 2021 | 89 | |
| 8 | 2019 | 82 | |
| 9 | 2015 | 49 | |
| 10 | 2019 | 48 | |
| 11 | 2017 | 46 | |
| 12 | 2015 | 42 | |
| 13 | 2021 | 40 | |
| 14 | 2016 | 39 | |
| 15 | 2015 | 37 | |
| 16 | 2018 | 37 | |
| 17 | 2015 | 34 | |
| 18 | 2018 | 34 | |
| 19 | 2015 | 30 | |
| 20 | 2021 | 30 |
About Jun Long
Jun Long is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Aerospace Engineering, having authored 166 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (29 papers), Energy Efficient Wireless Sensor Networks (18 papers), Satellite Communication Systems (18 papers), Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (6 papers), Semantic Web and Ontologies (6 papers), Topic Modeling (5 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (328 citations), Computer Networks and Communications (543 citations), Artificial Intelligence (793 citations), Computer Vision and Pattern Recognition (461 citations) and Health Informatics (14 citations). Jun Long has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zuping Zhang, Damien Hanyurwimfura, Zhan Yang, Kaoru Ota, Mianxiong Dong, Anfeng Liu, Hao Zhang, Jinfang Sheng, Bin Wang and Kewen Chen. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Knowledge-Based Systems, Information Processing & Management and Multimedia Tools and Applications.
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.