Junxiang Wang
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks
Papers in
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- Advanced Graph Neural Networks 7
- Topic Modeling 5
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- Advanced Steganography and Watermarking Techniques 12
- Digital Media Forensic Detection 10
- Chaos-based Image/Signal Encryption 8
- Co-authors
- Jiangqun Ni (7 shared papers)Yun-Qing Shi (3 shared papers)Liang Zhao (16 shared papers)Xing Zhang (2 shared papers)Chuntao Wang (2 shared papers)Zhongdai Wu (10 shared papers)Dezhi Han (4 shared papers)Xin Chen (1 shared paper)
- Journals
- Diabetology & Metabolic Syndrome (2 papers)Applied Intelligence (2 papers)Applied Thermal Engineering (2 papers)Complex & Intelligent Systems (2 papers)Journal of Agricultural and Food Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junxiang Wang
79 papers receiving 937 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 377
- Artificial Intelligence 153
- Insect Science 51
- Statistical and Nonlinear Physics 48
- Transportation 24
Countries citing papers authored by Junxiang Wang
This map shows the geographic impact of Junxiang Wang'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 Junxiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiang Wang more than expected).
Fields of papers citing papers by Junxiang Wang
This network shows the impact of papers produced by Junxiang Wang. 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 Junxiang Wang. The network helps show where Junxiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junxiang Wang, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 193 | |
| 2 | 2019 | 76 | |
| 3 | 2022 | 58 | |
| 4 | 2019 | 40 | |
| 5 | 2021 | 34 | |
| 6 | 2024 | 29 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2022 | 17 | |
| 14 | 2018 | 16 | |
| 15 | 2017 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2017 | 15 | |
| 20 | 2014 | 15 |
About Junxiang Wang
Junxiang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 92 papers that have together received 956 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (12 papers), Digital Media Forensic Detection (10 papers), Chaos-based Image/Signal Encryption (8 papers), Advanced Graph Neural Networks (7 papers), Sparse and Compressive Sensing Techniques (6 papers), Vehicle License Plate Recognition (5 papers), Insect Resistance and Genetics (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Artificial Intelligence (153 citations), Insect Science (51 citations), Statistical and Nonlinear Physics (48 citations) and Transportation (24 citations). Junxiang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiangqun Ni, Yun-Qing Shi, Liang Zhao, Xing Zhang, Chuntao Wang, Zhongdai Wu, Dezhi Han, Xin Chen, Kuan‐Ching Li and Arcangelo Castiglione. Their work appears in journals such as Diabetology & Metabolic Syndrome, Applied Intelligence, Applied Thermal Engineering, Complex & Intelligent Systems and Journal of Agricultural and Food Chemistry.
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.