L.T. Li
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Building and Construction top 10%
- Anaerobic Digestion and Biogas Production
Papers in
-
- Ferroelectric and Negative Capacitance Devices 2
- Advanced Memory and Neural Computing 2
-
- Magnetic Properties and Synthesis of Ferrites 2
- Ferroelectric and Piezoelectric Materials 2
- ZnO doping and properties 1
- Co-authors
- Shuying Wang (2 shared papers)Yongzhen Peng (2 shared papers)Xiyao Li (2 shared papers)Mingming Zhao (1 shared paper)Jian Kang (1 shared paper)Yue Fan (1 shared paper)Yunqi Cai (1 shared paper)Zhengxu Zhou (1 shared paper)
- Journals
- Materials Science and Engineering B (1 paper)Bioresource Technology (1 paper)Journal of Physics and Chemistry of Solids (1 paper)IEEE Transactions on Magnetics (1 paper)Materials Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
L.T. Li
9 papers receiving 353 citations
Peers
Comparison fields: 5 of 71
- Signal Processing 94
- Building and Construction 86
- Pollution 51
- Industrial and Manufacturing Engineering 32
- Artificial Intelligence 127
Countries citing papers authored by L.T. Li
This map shows the geographic impact of L.T. Li'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 L.T. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.T. Li more than expected).
Fields of papers citing papers by L.T. Li
This network shows the impact of papers produced by L.T. Li. 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 L.T. Li. The network helps show where L.T. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside L.T. Li, 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 | 2020 | 110 | |
| 2 | 2017 | 103 | |
| 3 | 2022 | 47 | |
| 4 | 2007 | 43 | |
| 5 | 1997 | 32 | |
| 6 | 2016 | 17 | |
| 7 | 2005 | 4 | |
| 8 | 2004 | 3 | |
| 9 | 2023 | 2 |
About L.T. Li
L.T. Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Artificial Intelligence, Building and Construction and Pollution, having authored 9 papers that have together received 361 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (2 papers), Advanced Memory and Neural Computing (2 papers), Magnetic Properties and Synthesis of Ferrites (2 papers), Anaerobic Digestion and Biogas Production (2 papers), Ferroelectric and Piezoelectric Materials (2 papers), ZnO doping and properties (1 paper), Water-Energy-Food Nexus Studies (1 paper) and Numerical methods in engineering (1 paper). The work is most often cited by research in Signal Processing (94 citations), Building and Construction (86 citations), Pollution (51 citations), Industrial and Manufacturing Engineering (32 citations) and Artificial Intelligence (127 citations). L.T. Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shuying Wang, Yongzhen Peng, Xiyao Li, Mingming Zhao, Jian Kang, Yue Fan, Yunqi Cai, Zhengxu Zhou, Yu Wang and D.P. Webb. Their work appears in journals such as Materials Science and Engineering B, Bioresource Technology, Journal of Physics and Chemistry of Solids, IEEE Transactions on Magnetics and Materials Letters.
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.