Conglin Lu
Impact in
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- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Geometry and Topology top 5%
- Morphological variations and asymmetry
Papers in
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- Medical Image Segmentation Techniques 6
- Image Retrieval and Classification Techniques 2
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- Morphological variations and asymmetry 6
- Co-authors
- P. Thomas Fletcher (4 shared papers)Sarang Joshi (7 shared papers)Stephen M. Pizer (6 shared papers)Keith E. Muller (3 shared papers)Daniel Fritsch (2 shared papers)Andrew Thall (2 shared papers)Y. Fridman (2 shared papers)Michael R. Jiroutek (2 shared papers)
- Journals
- International Journal of Computer Vision (2 papers)Journal of Visual Communication and Image Representation (1 paper)Lecture notes in computer science (3 papers)UNC Libraries (1 paper)
- Partner nations
- United States
In The Last Decade
Conglin Lu
10 papers receiving 474 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 364
- Geometry and Topology 131
- Computer Graphics and Computer-Aided Design 44
- Computational Mathematics 4
- Computational Mechanics 119
Countries citing papers authored by Conglin Lu
This map shows the geographic impact of Conglin 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 Conglin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conglin Lu more than expected).
Fields of papers citing papers by Conglin Lu
This network shows the impact of papers produced by Conglin 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 Conglin Lu. The network helps show where Conglin Lu may publish in the future.
Co-authors
The 14 scholars most cited alongside Conglin Lu, 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 | 2003 | 242 | |
| 2 | 2003 | 124 | |
| 3 | 2003 | 58 | |
| 4 | 2002 | 32 | |
| 5 | 2007 | 24 | |
| 6 | Statistics of Shape via Principal Component Analysis on Lie Groups | 2003 | 17 |
| 7 | 2005 | 13 | |
| 8 | 2003 | 10 | |
| 9 | 2020 | 3 | |
| 10 | Markov Random Fields | 2002 | 1 |
About Conglin Lu
Conglin Lu is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Computational Mechanics, Environmental Engineering and Artificial Intelligence, having authored 10 papers that have together received 524 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Morphological variations and asymmetry (6 papers), 3D Shape Modeling and Analysis (5 papers), Soil Geostatistics and Mapping (3 papers), Image Retrieval and Classification Techniques (2 papers), Bayesian Methods and Mixture Models (1 paper), Advanced Scientific Research Methods (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (364 citations), Geometry and Topology (131 citations), Computer Graphics and Computer-Aided Design (44 citations), Computational Mathematics (4 citations) and Computational Mechanics (119 citations). Conglin Lu has collaborated with scholars based in United States. Frequent co-authors include P. Thomas Fletcher, Sarang Joshi, Stephen M. Pizer, Keith E. Muller, Daniel Fritsch, Andrew Thall, Y. Fridman, Michael R. Jiroutek, Edward L. Chaney and Gregg Tracton. Their work appears in journals such as International Journal of Computer Vision, Journal of Visual Communication and Image Representation, Lecture notes in computer science and UNC Libraries.
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.