Shi Yu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Information Systems
- Media Technology top 10%
- Co-authors
- Yves MoreauLéon-Charles TrancheventBart De MoorJohan A. K. SuykensXinhai LiuWolfgang GlänzelTillmann FalckAnneleen Daemen
- Topics
- Advanced Clustering Algorithms Research (6 papers)Face and Expression Recognition (4 papers)Hydraulic Fracturing and Reservoir Analysis (4 papers)
In The Last Decade
Shi Yu
27 papers receiving 500 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 234
- Computer Vision and Pattern Recognition 190
- Molecular Biology 148
- Information Systems 40
- Media Technology 37
Countries citing papers authored by Shi Yu
This map shows the geographic impact of Shi Yu'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 Shi Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Yu more than expected).
Fields of papers citing papers by Shi Yu
This network shows the impact of papers produced by Shi Yu. 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 Shi Yu. The network helps show where Shi Yu may publish in the future.
Co-authorship network of co-authors of Shi Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Shi Yu. A scholar is included among the top collaborators of Shi Yu 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 Shi Yu. Shi Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | Methodology of seismic imaging for hydrocarbon reservoirs based on acoustic full waveform inversion | 3 |
| 9 | STUDY OF NON-LINEAR RELATIVE PERMEABILITY IN LOW PERMEABILITY RESERVOIR | 2 |
| 10 | 177 | |
| 11 | 26 | |
| 12 | 90 | |
| 13 | 35 | |
| 14 | 41 | |
| 15 | 15 | |
| 16 | 21 | |
| 17 | Clustering by heterogeneous data fusion : framework and applications | 10 |
| 18 | THE STUDY OF TWO PHASE NON-LINEAR FLOW IN LOW PERMEABILITY RESERVOIR | 3 |
| 19 | 6 | |
| 20 | Feasibility of seismic monitoring for remaining oil in alternate thin-beds reservoir with water-flooding recovery | 1 |
About Shi Yu
Shi Yu is a scholar working on Energy Engineering and Power Technology, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 29 papers that have together received 520 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (6 papers), Face and Expression Recognition (4 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). The work is most often cited by research in Computational Mathematics (8 citations), Computer Vision and Pattern Recognition (190 citations) and Artificial Intelligence (234 citations). Shi Yu has collaborated with scholars based in China, Belgium and Hungary. Frequent co-authors include Yves Moreau, Léon-Charles Tranchevent, Bart De Moor, Johan A. K. Suykens, Xinhai Liu, Wolfgang Glänzel, Bart De Moor, Tillmann Falck, Anneleen Daemen and Frizo Janssens. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.