Z. Jane Wang
Impact in
- Media Technology top 0.1%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- Image Enhancement Techniques
- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Image and Signal Denoising Methods
Papers in
-
- Digital Media Forensic Detection 26
- Advanced Steganography and Watermarking Techniques 23
- Journals
- Neurocomputing (6 papers)IEEE Journal of Biomedical and Health Informatics (6 papers)IEEE Transactions on Geoscience and Remote Sensing (6 papers)IEEE Transactions on Wireless Communications (6 papers)IEEE Signal Processing Letters (6 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Z. Jane Wang
238 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Media Technology 1.9k
- Computer Vision and Pattern Recognition 2.9k
- Cognitive Neuroscience 1.7k
- Signal Processing 769
- Computational Mathematics 37
Countries citing papers authored by Z. Jane Wang
This map shows the geographic impact of Z. Jane 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 Z. Jane Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Jane Wang more than expected).
Fields of papers citing papers by Z. Jane Wang
This network shows the impact of papers produced by Z. Jane 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 Z. Jane Wang. The network helps show where Z. Jane Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Z. Jane 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 80 | |
| 10 | 2022 | 22 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 10 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 34 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 62 | |
| 18 | 2018 | 45 | |
| 19 | 2016 | 2 | |
| 20 | 2013 | 45 |
About Z. Jane Wang
Z. Jane Wang is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience and Signal Processing, having authored 255 papers that have together received 7.7k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Functional Brain Connectivity Studies (26 papers), Digital Media Forensic Detection (26 papers), Blind Source Separation Techniques (23 papers), Advanced Steganography and Watermarking Techniques (23 papers), Domain Adaptation and Few-Shot Learning (21 papers), Neural dynamics and brain function (19 papers) and Remote-Sensing Image Classification (18 papers). The work is most often cited by research in Media Technology (1.9k citations), Computer Vision and Pattern Recognition (2.9k citations), Cognitive Neuroscience (1.7k citations), Signal Processing (769 citations) and Computational Mathematics (37 citations). Z. Jane Wang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xun Chen, Rabab Ward, Yü Liu, Martin J. McKeown, Shun Miao, Rui Liao, Aiping Liu, Xiangui Kang, Xuesong Wang and Chen He. Their work appears in journals such as Neurocomputing, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Wireless Communications and IEEE Signal Processing Letters.
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.