Tingting Wu
Impact in
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Medical Image Segmentation Techniques
Papers in
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- Image and Signal Denoising Methods 17
- Advanced Image Processing Techniques 12
- Medical Image Segmentation Techniques 6
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- Sparse and Compressive Sensing Techniques 16
- Co-authors
- Tieyong Zeng (16 shared papers)Deren Han (2 shared papers)Kun Guo (1 shared paper)Chunhua Zhu (1 shared paper)Tiejun Yang (1 shared paper)Sijie Guo (8 shared papers)Amin Cao (8 shared papers)Zhi‐Feng Pang (2 shared papers)
In The Last Decade
Tingting Wu
54 papers receiving 688 citations
Peers
Comparison fields: 5 of 100
- Computational Mathematics 8
- Computer Vision and Pattern Recognition 285
- Computational Mechanics 211
- Media Technology 84
- Numerical Analysis 42
Countries citing papers authored by Tingting Wu
This map shows the geographic impact of Tingting Wu'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 Tingting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Wu more than expected).
Fields of papers citing papers by Tingting Wu
This network shows the impact of papers produced by Tingting Wu. 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 Tingting Wu. The network helps show where Tingting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingting Wu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2020 | 55 | |
| 3 | 2022 | 42 | |
| 4 | 2023 | 42 | |
| 5 | 2017 | 41 | |
| 6 | 2022 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2020 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2023 | 28 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2011 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About Tingting Wu
Tingting Wu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering, Media Technology and Materials Chemistry, having authored 60 papers that have together received 710 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Sparse and Compressive Sensing Techniques (16 papers), Advanced Image Processing Techniques (12 papers), Advanced Battery Materials and Technologies (8 papers), Advancements in Battery Materials (7 papers), Medical Image Segmentation Techniques (6 papers), Advanced Image Fusion Techniques (6 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (285 citations), Computational Mechanics (211 citations), Media Technology (84 citations) and Numerical Analysis (42 citations). Tingting Wu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Tieyong Zeng, Deren Han, Kun Guo, Chunhua Zhu, Tiejun Yang, Sijie Guo, Amin Cao, Zhi‐Feng Pang, David Z.W. Wang and Michael K. Ng. Their work appears in journals such as Applied Mathematics and Computation, IEEE Signal Processing Letters, Advanced Functional Materials, Journal of Scientific Computing and Inverse Problems and Imaging.
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.