S. Y. Lu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Management Science and Operations Research
- Co-authors
- K. S. FuH.E. StephanouDennis M. GoodmanJ. Patrick FitchFarid DowlaErik M. J. JohanssonGregory A. ClarkJ. E. Hernández
- Topics
- Algorithms and Data Compression (4 papers)Image Retrieval and Classification Techniques (3 papers)Bayesian Modeling and Causal Inference (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Access
- Partner nations
- United StatesChina
In The Last Decade
S. Y. Lu
17 papers receiving 307 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 159
- Artificial Intelligence 134
- Media Technology 36
- Computer Graphics and Computer-Aided Design 36
- Management Science and Operations Research 25
Countries citing papers authored by S. Y. Lu
This map shows the geographic impact of S. Y. Lu'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 S. Y. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Y. Lu more than expected).
Fields of papers citing papers by S. Y. Lu
This network shows the impact of papers produced by S. Y. Lu. 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 S. Y. Lu. The network helps show where S. Y. Lu may publish in the future.
Co-authorship network of co-authors of S. Y. Lu
This figure shows the co-authorship network connecting the top 25 collaborators of S. Y. Lu. A scholar is included among the top collaborators of S. Y. Lu 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 S. Y. Lu. S. Y. Lu 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 | 6 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 33 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 8 | |
| 12 | 39 | |
| 13 | A set-theoretic framework for the processing of uncertain knowledge | 13 |
| 14 | 33 | |
| 15 | 30 | |
| 16 | 23 | |
| 17 | 85 | |
| 18 | Error-Correcting Syntax Analysis for Tree Languages. | 1 |
| 19 | 8 |
About S. Y. Lu
S. Y. Lu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Algorithms and Data Compression (4 papers), Image Retrieval and Classification Techniques (3 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (36 citations), Computer Vision and Pattern Recognition (159 citations) and Artificial Intelligence (134 citations). S. Y. Lu has collaborated with scholars based in United States and China. Frequent co-authors include K. S. Fu, H.E. Stephanou, Dennis M. Goodman, J. Patrick Fitch, Farid Dowla, Erik M. J. Johansson, Gregory A. Clark, J. E. Hernández, James G. Berryman and Yuan Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.