Jingtian Tang
- Geophysics top 5%
- Geophysical and Geoelectrical Methods 38
- Seismic Waves and Analysis 13
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- Image and Signal Denoising Methods 13
- Medical Image Segmentation Techniques 8
- Ocean Engineering top 5%
- Geophysical Methods and Applications 14
- Signal Processing top 10%
- Blind Source Separation Techniques 9
- Oceanography top 10%
- Underwater Acoustics Research 12
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- Neural Networks and Applications 8
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (6 papers)Geophysics (5 papers)Tectonophysics (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jingtian Tang
76 papers receiving 945 citations
Peers
Comparison fields: 5 of 110
- Geophysics 408
- Computer Vision and Pattern Recognition 240
- Ocean Engineering 143
- Signal Processing 91
- Oceanography 90
Countries citing papers authored by Jingtian Tang
This map shows the geographic impact of Jingtian Tang'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 Jingtian Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingtian Tang more than expected).
Fields of papers citing papers by Jingtian Tang
This network shows the impact of papers produced by Jingtian Tang. 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 Jingtian Tang. The network helps show where Jingtian Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingtian Tang, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 35 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 3 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 7 | |
| 14 | 2009 | 1 | |
| 15 | Research on the Classification of SVM-Based Image Texture Features | 2008 | 2 |
| 16 | Multi-modality medical image registration using high dimension mutual information | 2007 | 1 |
| 17 | Object-oriented philosophy in designing adaptive finite-element package for 3D elliptic deferential equations | 2007 | 1 |
| 18 | Removal of Ocular Artifact from EEG based on ICA | 2006 | 1 |
| 19 | The seismic tomography of combining velocity and absorption coefficient | 2006 | 1 |
| 20 | The study of relative phase spectrum in multi-frequency induced polarization | 2004 | 2 |
About Jingtian Tang
Jingtian Tang is a scholar working on Geophysics, Signal Processing and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 985 indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (38 papers), Geophysical Methods and Applications (14 papers), Seismic Waves and Analysis (13 papers), Image and Signal Denoising Methods (13 papers), Underwater Acoustics Research (12 papers), Blind Source Separation Techniques (9 papers), Medical Image Segmentation Techniques (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Geophysics (408 citations), Computer Vision and Pattern Recognition (240 citations) and Ocean Engineering (143 citations). Jingtian Tang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jin Li, Guang Li, Weihua Gui, Lingyun Li, Yuqian Zhao, Zhencheng Chen, Xiaoqiong Liu, Xian Zhang, Cong Zhou and Xiao Xiao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Geophysics and Tectonophysics.
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.