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
- Image Processing and 3D Reconstruction
Papers in
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- Medical Image Segmentation Techniques 5
- Image Retrieval and Classification Techniques 2
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- Morphological variations and asymmetry 4
- Co-authors
- P. Thomas Fletcher (4 shared papers)Sarang Joshi (5 shared papers)Stephen M. Pizer (4 shared papers)Michael R. Jiroutek (2 shared papers)Keith E. Muller (2 shared papers)Gregg Tracton (2 shared papers)Edward L. Chaney (2 shared papers)Daniel Fritsch (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 (1 paper)UNC Libraries (1 paper)
- Partner nations
- United States
In The Last Decade
Conglin Lu
8 papers receiving 391 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 301
- Computer Graphics and Computer-Aided Design 39
- Geometry and Topology 96
- Computational Mathematics 4
- Computational Mechanics 91
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 15 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 | 213 | |
| 2 | 2003 | 105 | |
| 3 | 2003 | 47 | |
| 4 | 2002 | 26 | |
| 5 | 2007 | 23 | |
| 6 | Statistics of Shape via Principal Component Analysis on Lie Groups | 2003 | 14 |
| 7 | 2020 | 2 | |
| 8 | 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 8 papers that have together received 431 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Morphological variations and asymmetry (4 papers), Soil Geostatistics and Mapping (3 papers), 3D Shape Modeling and Analysis (3 papers), Image Retrieval and Classification Techniques (2 papers), Computer Graphics and Visualization Techniques (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 (301 citations), Computer Graphics and Computer-Aided Design (39 citations), Geometry and Topology (96 citations), Computational Mathematics (4 citations) and Computational Mechanics (91 citations). Conglin Lu has collaborated with scholars based in United States. Frequent co-authors include P. Thomas Fletcher, Sarang Joshi, Stephen M. Pizer, Michael R. Jiroutek, Keith E. Muller, Gregg Tracton, Edward L. Chaney, Daniel Fritsch, Zhe Chen and Andrew Thall. 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.