Shengjie Luo
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Pathology and Forensic Medicine
- Molecular Biology
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Video Analysis and Summarization (5 papers)Computer Graphics and Visualization Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignDevelopmental Neuroscience
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shengjie Luo
21 papers receiving 582 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 260
- Artificial Intelligence 150
- Computational Theory and Mathematics 59
- Pathology and Forensic Medicine 58
- Molecular Biology 55
Countries citing papers authored by Shengjie Luo
This map shows the geographic impact of Shengjie Luo'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 Shengjie Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjie Luo more than expected).
Fields of papers citing papers by Shengjie Luo
This network shows the impact of papers produced by Shengjie Luo. 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 Shengjie Luo. The network helps show where Shengjie Luo may publish in the future.
Co-authorship network of co-authors of Shengjie Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Shengjie Luo. A scholar is included among the top collaborators of Shengjie Luo 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 Shengjie Luo. Shengjie Luo 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 | 3 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | Do Transformers Really Perform Badly for Graph Representationbreakdown → | 248 |
| 6 | 25 | |
| 7 | GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training | 1 |
| 8 | 40 | |
| 9 | 18 | |
| 10 | 47 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 35 | |
| 18 | On the Application of English Movies in College English Teaching | 0 |
| 19 | 1 | |
| 20 | 65 |
About Shengjie Luo
Shengjie Luo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 24 papers that have together received 593 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Video Analysis and Summarization (5 papers) and Computer Graphics and Visualization Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (260 citations), Computer Graphics and Computer-Aided Design (44 citations) and Developmental Neuroscience (31 citations). Shengjie Luo has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Bing‐Yu Chen, Tianle Cai, Di He, Shuxin Zheng, Chengxuan Ying, Guolin Ke, Yanming Shen, Tie‐Yan Liu, Kai-Yin Cheng and Hao-Hua Chu. Their work appears in journals such as Fuel, ACM Transactions on Graphics and Remote Sensing.
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.