Ping Lü
Impact in
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
-
- AI in cancer detection 6
- Speech Recognition and Synthesis 6
-
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Jincai Chen (26 shared papers)Maryellen L. Giger (6 shared papers)Min Chen (3 shared papers)Chao Yang (4 shared papers)Chaoqun Liu (12 shared papers)Zhimin Huo (4 shared papers)Carl J. Vyborny (4 shared papers)Ulrich Bick (4 shared papers)
- Journals
- Photoacoustics (5 papers)Sensors (4 papers)IEEE Transactions on Magnetics (4 papers)Journal of Chemical & Engineering Data (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Lü
122 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 302
- Artificial Intelligence 413
- Spectroscopy 167
- Computational Mechanics 207
- Radiology, Nuclear Medicine and Imaging 192
Countries citing papers authored by Ping Lü
This map shows the geographic impact of Ping Lü'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 Lü with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Lü more than expected).
Fields of papers citing papers by Ping Lü
This network shows the impact of papers produced by Ping Lü. 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 Lü. The network helps show where Ping Lü may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Lü, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 148 | |
| 2 | 2018 | 131 | |
| 3 | 2022 | 57 | |
| 4 | Prevalence of pre-eruptive intracoronal dentin defects from panoramic radiographs. | 1999 | 53 |
| 5 | 2021 | 52 | |
| 6 | 2008 | 51 | |
| 7 | 2024 | 50 | |
| 8 | 2022 | 49 | |
| 9 | 2023 | 43 | |
| 10 | 2010 | 40 | |
| 11 | 1993 | 35 | |
| 12 | 2020 | 31 | |
| 13 | 2013 | 29 | |
| 14 | 1995 | 26 | |
| 15 | 2022 | 26 | |
| 16 | 2023 | 26 | |
| 17 | 2017 | 23 | |
| 18 | 2010 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2022 | 20 |
About Ping Lü
Ping Lü is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 133 papers that have together received 1.6k 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), Advanced Data Storage Technologies (6 papers), Speech Recognition and Synthesis (6 papers) and Fluid Dynamics and Vibration Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Artificial Intelligence (413 citations), Spectroscopy (167 citations), Computational Mechanics (207 citations) and Radiology, Nuclear Medicine and Imaging (192 citations). Ping Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jincai Chen, Maryellen L. Giger, Min Chen, Chao Yang, Chaoqun Liu, Zhimin Huo, Carl J. Vyborny, Ulrich Bick, Zai‐Sha Mao and Dulcy Wolverton. Their work appears in journals such as Photoacoustics, Sensors, IEEE Transactions on Magnetics, Journal of Chemical & Engineering Data and IEEE Transactions on Biomedical Engineering.
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.