Jinlin Liu
- Computer Vision and Pattern Recognition top 10%
- Geophysics top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Co-authors
- Zhe WangDongdong LiZhuo YangWenkai LuMiaomiao CuiYuqing WangMeng ZhangXian‐Sheng Hua
- Topics
- Seismic Imaging and Inversion Techniques (5 papers)Speech and Audio Processing (4 papers)Music and Audio Processing (4 papers)
- Journals
- Journal of the American Chemical SocietyIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- ChinaUnited States
In The Last Decade
Jinlin Liu
20 papers receiving 273 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 88
- Geophysics 79
- Artificial Intelligence 74
- Experimental and Cognitive Psychology 69
- Signal Processing 63
Countries citing papers authored by Jinlin Liu
This map shows the geographic impact of Jinlin Liu'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 Jinlin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlin Liu more than expected).
Fields of papers citing papers by Jinlin Liu
This network shows the impact of papers produced by Jinlin Liu. 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 Jinlin Liu. The network helps show where Jinlin Liu may publish in the future.
Co-authorship network of co-authors of Jinlin Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jinlin Liu. A scholar is included among the top collaborators of Jinlin Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinlin Liu. Jinlin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 99 | |
| 7 | 1 | |
| 8 | Random seismic noise attenuation based on data augmentation and CNN | 39 |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Chinese short messages text clustering algorithm based on Isomap | 0 |
About Jinlin Liu
Jinlin Liu is a scholar working on Signal Processing, Geophysics and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 280 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (5 papers), Speech and Audio Processing (4 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Geophysics (79 citations), Signal Processing (63 citations) and Experimental and Cognitive Psychology (69 citations). Jinlin Liu has collaborated with scholars based in China and United States. Frequent co-authors include Zhe Wang, Dongdong Li, Zhuo Yang, Wenkai Lu, Miaomiao Cui, Yuqing Wang, Meng Zhang, Xian‐Sheng Hua, Xuansong Xie and Yuan Yao. Their work appears in journals such as Journal of the American Chemical Society, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.