Tieyi Wang
Impact in
- Geophysics top 5%
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- Ocean Engineering top 5%
- Drilling and Well Engineering
- Reservoir Engineering and Simulation Methods
Papers in
- Geophysics 15
- Seismic Imaging and Inversion Techniques 14
- Seismic Waves and Analysis 8
-
- Drilling and Well Engineering 7
- Reservoir Engineering and Simulation Methods 2
- Co-authors
- Sanyi Yuan (13 shared papers)Shangxu Wang (11 shared papers)Peidong Shi (4 shared papers)Jiwei Liu (1 shared paper)Jinghan Wang (1 shared paper)Yuxin Su (2 shared papers)Jianhu Gao (2 shared papers)Yanyan Wang (1 shared paper)
- Journals
- IEEE Geoscience and Remote Sensing Letters (6 papers)Geophysics (3 papers)Energy Geoscience (1 paper)Petroleum Science (1 paper)Pure and Applied Geophysics (1 paper)
- Partner nations
- ChinaUnited KingdomSwitzerland
In The Last Decade
Tieyi Wang
14 papers receiving 451 citations
Tieyi Wang's Hit Papers
Peers
Comparison fields: 5 of 37
- Geophysics 398
- Ocean Engineering 198
- Artificial Intelligence 131
- Mechanical Engineering 120
- Computer Vision and Pattern Recognition 59
Countries citing papers authored by Tieyi Wang
This map shows the geographic impact of Tieyi 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 Tieyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tieyi Wang more than expected).
Fields of papers citing papers by Tieyi Wang
This network shows the impact of papers produced by Tieyi 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 Tieyi Wang. The network helps show where Tieyi Wang may publish in the future.
Co-authors
The 19 scholars most cited alongside Tieyi 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 | Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks Hit paper breakdown → | 2018 | 250 |
| 2 | 2018 | 49 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 23 | |
| 6 | 2019 | 13 | |
| 7 | 2018 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2016 | 10 | |
| 10 | 2020 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 0 |
About Tieyi Wang
Tieyi Wang is a scholar working on Geophysics, Ocean Engineering, Mechanics of Materials, Artificial Intelligence and Mechanical Engineering, having authored 15 papers that have together received 457 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (14 papers), Seismic Waves and Analysis (8 papers), Drilling and Well Engineering (7 papers), Seismology and Earthquake Studies (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), Reservoir Engineering and Simulation Methods (2 papers) and Geological and Geophysical Studies (1 paper). The work is most often cited by research in Geophysics (398 citations), Ocean Engineering (198 citations), Artificial Intelligence (131 citations), Mechanical Engineering (120 citations) and Computer Vision and Pattern Recognition (59 citations). Tieyi Wang has collaborated with scholars based in China, United Kingdom and Switzerland. Frequent co-authors include Sanyi Yuan, Shangxu Wang, Peidong Shi, Jiwei Liu, Jinghan Wang, Yuxin Su, Jianhu Gao, Yanyan Wang, Tao Liu and Jie Qi. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, Geophysics, Energy Geoscience, Petroleum Science and Pure and Applied Geophysics.
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.