Chien-Ping Lu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Advanced Vision and Imaging 2
- Image Processing and 3D Reconstruction 1
- Image Retrieval and Classification Techniques 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Eric Mjolsness (3 shared papers)Steven Gold (2 shared papers)Anand Rangarajan (2 shared papers)Suguna Pappu (2 shared papers)Willard L. Miranker (1 shared paper)Pei-Kuei Tsung (1 shared paper)
- Journals
- Biological Cybernetics (1 paper)Pattern Recognition (1 paper)APSIPA Transactions on Signal and Information Processing (1 paper)Neural Information Processing Systems (2 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Chien-Ping Lu
8 papers receiving 571 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 419
- Geology 78
- Aerospace Engineering 299
- Computer Graphics and Computer-Aided Design 26
- Computational Mechanics 127
Countries citing papers authored by Chien-Ping Lu
This map shows the geographic impact of Chien-Ping 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 Chien-Ping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Ping Lu more than expected).
Fields of papers citing papers by Chien-Ping Lu
This network shows the impact of papers produced by Chien-Ping 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 Chien-Ping Lu. The network helps show where Chien-Ping Lu may publish in the future.
Co-authors
The 6 scholars most cited alongside Chien-Ping 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 | 1998 | 463 | |
| 2 | New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence | 1994 | 88 |
| 3 | 2016 | 14 | |
| 4 | 1993 | 13 | |
| 5 | Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching | 1993 | 8 |
| 6 | 2017 | 7 | |
| 7 | Online pose estimation and model matching | 1996 | 3 |
| 8 | 2010 | 2 |
About Chien-Ping Lu
Chien-Ping Lu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Hardware and Architecture, Computer Networks and Communications and Cognitive Neuroscience, having authored 8 papers that have together received 598 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Vision and Imaging (2 papers), Parallel Computing and Optimization Techniques (2 papers), Motor Control and Adaptation (1 paper), Image Processing and 3D Reconstruction (1 paper), Distributed and Parallel Computing Systems (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (419 citations), Geology (78 citations), Aerospace Engineering (299 citations), Computer Graphics and Computer-Aided Design (26 citations) and Computational Mechanics (127 citations). Chien-Ping Lu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Eric Mjolsness, Steven Gold, Anand Rangarajan, Suguna Pappu, Willard L. Miranker and Pei-Kuei Tsung. Their work appears in journals such as Biological Cybernetics, Pattern Recognition, APSIPA Transactions on Signal and Information Processing and Neural Information Processing Systems.
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.