Jianjun Wang
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
- Cyclone Separators and Fluid Dynamics
Papers in
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- Sparse and Compressive Sensing Techniques 65
- Cyclone Separators and Fluid Dynamics 8
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- Image and Signal Denoising Methods 35
- Medical Image Segmentation Techniques 7
- Advanced Image Processing Techniques 6
- Co-authors
- Hailin Wang (16 shared papers)Wendong Wang (18 shared papers)Yao Wang (9 shared papers)Feng Zhang (14 shared papers)Wenjin Qin (13 shared papers)Deyu Meng (5 shared papers)Timothy J. Ebner (1 shared paper)Jong H. Kim (1 shared paper)
In The Last Decade
Jianjun Wang
87 papers receiving 1.3k citations
Jianjun Wang's Hit Papers
Peers
Comparison fields: 5 of 99
- Computational Mathematics 294
- Computational Mechanics 776
- Computer Vision and Pattern Recognition 428
- Media Technology 128
- Signal Processing 132
Countries citing papers authored by Jianjun Wang
This map shows the geographic impact of Jianjun 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 Jianjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Wang more than expected).
Fields of papers citing papers by Jianjun Wang
This network shows the impact of papers produced by Jianjun 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 Jianjun Wang. The network helps show where Jianjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianjun 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 101 | |
| 2 | 2022 | 93 | |
| 3 | Guaranteed Tensor Recovery Fused Low-rankness and Smoothness Hit paper breakdown → | 2023 | 86 |
| 4 | 2014 | 74 | |
| 5 | 2021 | 66 | |
| 6 | 2022 | 65 | |
| 7 | 2016 | 55 | |
| 8 | 2015 | 50 | |
| 9 | 2014 | 49 | |
| 10 | 2020 | 46 | |
| 11 | 2019 | 44 | |
| 12 | 2014 | 42 | |
| 13 | 2013 | 35 | |
| 14 | 2021 | 29 | |
| 15 | 2021 | 25 | |
| 16 | 2019 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 1994 | 17 |
About Jianjun Wang
Jianjun Wang is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Computational Mathematics, Biomedical Engineering and Signal Processing, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (65 papers), Image and Signal Denoising Methods (35 papers), Tensor decomposition and applications (23 papers), Blind Source Separation Techniques (22 papers), Photoacoustic and Ultrasonic Imaging (14 papers), Cyclone Separators and Fluid Dynamics (8 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Computational Mathematics (294 citations), Computational Mechanics (776 citations), Computer Vision and Pattern Recognition (428 citations), Media Technology (128 citations) and Signal Processing (132 citations). Jianjun Wang has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Hailin Wang, Wendong Wang, Yao Wang, Feng Zhang, Wenjin Qin, Deyu Meng, Timothy J. Ebner, Jong H. Kim, Jiangjun Peng and Tingwen Huang. Their work appears in journals such as IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Intelligence, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.
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.