Jun Long
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Internet Traffic Analysis and Secure E-voting
- Advanced Clustering Algorithms Research
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Anomaly Detection Techniques and Applications 9
- Internet Traffic Analysis and Secure E-voting 9
- Machine Learning and Algorithms 7
- Machine Learning and Data Classification 5
- Algorithms and Data Compression 3
-
- Network Security and Intrusion Detection 13
- Co-authors
- Erxue Min (8 shared papers)Jianjing Cui (7 shared papers)Qiang Liu (4 shared papers)Zhiping Cai (6 shared papers)Yang Yu (3 shared papers)Xifeng Guo (1 shared paper)Gen Zhang (1 shared paper)Wei Chen (1 shared paper)
- Journals
- IEEE Access (2 papers)Lecture notes in computer science (16 papers)International Journal of Intelligent Systems (1 paper)Journal of Cleaner Production (1 paper)Applied Sciences (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jun Long
40 papers receiving 942 citations
Jun Long's Hit Papers
Peers
Comparison fields: 5 of 109
- Signal Processing 312
- Artificial Intelligence 647
- Computer Networks and Communications 451
- Computer Vision and Pattern Recognition 171
- Information Systems 95
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture Hit paper breakdown → | 2018 | 374 |
| 2 | 2018 | 140 | |
| 3 | 2017 | 136 | |
| 4 | 2017 | 46 | |
| 5 | 2018 | 35 | |
| 6 | 2018 | 27 | |
| 7 | 2011 | 26 | |
| 8 | 2019 | 25 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 16 | |
| 12 | 2008 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2022 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2008 | 10 | |
| 17 | 2018 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2008 | 5 | |
| 20 | 2018 | 4 |
About Jun Long
Jun Long is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 42 papers that have together received 983 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (9 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Machine Learning and Algorithms (7 papers), Face and Expression Recognition (6 papers), Machine Learning and Data Classification (5 papers), Advanced Malware Detection Techniques (5 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Signal Processing (312 citations), Artificial Intelligence (647 citations), Computer Networks and Communications (451 citations), Computer Vision and Pattern Recognition (171 citations) and Information Systems (95 citations). Jun Long has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Erxue Min, Jianjing Cui, Qiang Liu, Zhiping Cai, Yang Yu, Xifeng Guo, Gen Zhang, Wei Chen, Wentao Zhao and Jianping Yin. Their work appears in journals such as IEEE Access, Lecture notes in computer science, International Journal of Intelligent Systems, Journal of Cleaner Production and Applied Sciences.
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.