Ping C. Lu
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Advanced Image and Video Retrieval Techniques 7
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- Fluid Dynamics and Turbulent Flows 11
- Fluid Dynamics and Vibration Analysis 6
- Co-authors
- Jincai Chen (26 shared papers)Maryellen Lissak Giger (6 shared papers)Bülthoff Chen M (3 shared papers)Chao Yang (4 shared papers)Zhimin Huo (4 shared papers)Chaoqun Liu (12 shared papers)Carl J. Vyborny (4 shared papers)Ulrich Bick (4 shared papers)
- Journals
- Photoacoustics (5 papers)IEEE Transactions on Magnetics (4 papers)Scientific Reports (4 papers)Sensors (4 papers)Journal of Chemical & Engineering Data (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping C. Lu
124 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 314
- Artificial Intelligence 425
- Spectroscopy 187
- Computational Mechanics 212
- Radiology, Nuclear Medicine and Imaging 205
Countries citing papers authored by Ping C. Lu
This map shows the geographic impact of Ping C. 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 Ping C. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping C. Lu more than expected).
Fields of papers citing papers by Ping C. Lu
This network shows the impact of papers produced by Ping C. 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 Ping C. Lu. The network helps show where Ping C. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping C. 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
Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 150 | |
| 2 | 2018 | 133 | |
| 3 | 2024 | 64 | |
| 4 | 2022 | 60 | |
| 5 | 2023 | 53 | |
| 6 | Prevalence of pre-eruptive intracoronal dentin defects from panoramic radiographs. | 1999 | 53 |
| 7 | 2021 | 52 | |
| 8 | 2008 | 51 | |
| 9 | 2022 | 50 | |
| 10 | 2010 | 41 | |
| 11 | 2023 | 37 | |
| 12 | 1993 | 35 | |
| 13 | 2020 | 32 | |
| 14 | 2013 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2022 | 29 | |
| 17 | 2022 | 25 | |
| 18 | 1995 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2022 | 24 |
About Ping C. Lu
Ping C. Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 134 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (11 papers), Spectroscopy and Laser Applications (8 papers), Speech and Audio Processing (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), AI in cancer detection (6 papers), Speech Recognition and Synthesis (6 papers), Advanced Data Storage Technologies (6 papers) and Fluid Dynamics and Vibration Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Artificial Intelligence (425 citations), Spectroscopy (187 citations), Computational Mechanics (212 citations) and Radiology, Nuclear Medicine and Imaging (205 citations). Ping C. Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jincai Chen, Maryellen Lissak Giger, Bülthoff Chen M, Chao Yang, Zhimin Huo, Chaoqun Liu, Carl J. Vyborny, Ulrich Bick, Chaotan Sima and Zai‐Sha Mao. Their work appears in journals such as Photoacoustics, IEEE Transactions on Magnetics, Scientific Reports, Sensors and Journal of Chemical & Engineering Data.
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.