Junan Yang
Impact in
- Artificial Intelligence top 5%
- Wireless Signal Modulation Classification
- Adversarial Robustness in Machine Learning
- Topic Modeling
- Metaheuristic Optimization Algorithms Research
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Wireless Signal Modulation Classification 18
- Topic Modeling 11
- Neural Networks and Applications 9
- Adversarial Robustness in Machine Learning 8
- Text and Document Classification Technologies 7
- Co-authors
- Zhenquan Zhuang (6 shared papers)Hui Liu (13 shared papers)Bin Li (1 shared paper)Juan Zhang (1 shared paper)Zhengwu Wang (1 shared paper)Lingzhi Qu (5 shared papers)Hui Liu (5 shared papers)Hui Liu (4 shared papers)
- Journals
- Electronics (5 papers)Symmetry (3 papers)Applied Sciences (3 papers)Sensors (2 papers)Bulletin of the Polish Academy of Sciences Technical Sciences (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Junan Yang
78 papers receiving 511 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 286
- Signal Processing 79
- Computer Networks and Communications 94
- Computer Vision and Pattern Recognition 77
- Aerospace Engineering 73
Countries citing papers authored by Junan Yang
This map shows the geographic impact of Junan Yang'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 Junan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junan Yang more than expected).
Fields of papers citing papers by Junan Yang
This network shows the impact of papers produced by Junan Yang. 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 Junan Yang. The network helps show where Junan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junan Yang, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 50 | |
| 2 | 2022 | 32 | |
| 3 | 2003 | 30 | |
| 4 | 2021 | 25 | |
| 5 | 2020 | 24 | |
| 6 | 2010 | 22 | |
| 7 | 2011 | 17 | |
| 8 | 2021 | 16 | |
| 9 | 2011 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2012 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 8 |
About Junan Yang
Junan Yang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 90 papers that have together received 536 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (18 papers), Advanced Algorithms and Applications (11 papers), Topic Modeling (11 papers), Blind Source Separation Techniques (10 papers), Neural Networks and Applications (9 papers), Adversarial Robustness in Machine Learning (8 papers), Face and Expression Recognition (7 papers) and Text and Document Classification Technologies (7 papers). The work is most often cited by research in Artificial Intelligence (286 citations), Signal Processing (79 citations), Computer Networks and Communications (94 citations), Computer Vision and Pattern Recognition (77 citations) and Aerospace Engineering (73 citations). Junan Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhenquan Zhuang, Hui Liu, Bin Li, Bin Li, Juan Zhang, Zhengwu Wang, Lingzhi Qu, Hui Liu, Hui Liu and Yu Zhang. Their work appears in journals such as Electronics, Symmetry, Applied Sciences, Sensors and Bulletin of the Polish Academy of Sciences Technical 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.