L. Yang
Impact in
- Computer Networks and Communications top 0.1%
- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Cooperative Communication and Network Coding
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation
Papers in
-
- Neural Networks Stability and Synchronization 3
- Interconnection Networks and Systems 1
-
- Groundwater and Isotope Geochemistry 1
- Co-authors
- Leon O. ChuaLinda G. ShapiroMark SussmanW.L. CheungWei WangYongsheng LianXiaosi SuM. Yousuff Hussaini
- Journals
- Journal of Scientific Computing (1 paper)IEEE Intelligent Transportation Systems Magazine (1 paper)IEEE Transactions on Circuits and Systems (2 papers)The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
L. Yang
6 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 4.4k
- Statistical and Nonlinear Physics 1.6k
- Artificial Intelligence 2.3k
- Computational Theory and Mathematics 1.0k
- Electrical and Electronic Engineering 1.8k
Countries citing papers authored by L. Yang
This map shows the geographic impact of L. Yang'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. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Yang more than expected).
Fields of papers citing papers by L. Yang
This network shows the impact of papers produced by L. Yang. 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. Yang. The network helps show where L. Yang may publish in the future.
Co-authorship network
The 18 scholars most cited alongside L. Yang, 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 | 2023 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2011 | 2 | |
| 4 | 2003 | 0 | |
| 5 | 1991 | 19 | |
| 6 | Cellular neural networks: theory Hit paper breakdown → | 1988 | 3450 |
| 7 | Cellular neural networks: applications Hit paper breakdown → | 1988 | 1802 |
About L. Yang
L. Yang is a scholar working on Computer Networks and Communications, Geochemistry and Petrology, Hardware and Architecture, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 7 papers that have together received 5.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (3 papers), Cellular Automata and Applications (2 papers), Groundwater and Isotope Geochemistry (1 paper), Neural Networks and Applications (1 paper), CCD and CMOS Imaging Sensors (1 paper), Interconnection Networks and Systems (1 paper), Railway Systems and Energy Efficiency (1 paper) and Advanced Numerical Methods in Computational Mathematics (1 paper). The work is most often cited by research in Computer Networks and Communications (4.4k citations), Statistical and Nonlinear Physics (1.6k citations), Artificial Intelligence (2.3k citations), Computational Theory and Mathematics (1.0k citations) and Electrical and Electronic Engineering (1.8k citations). L. Yang has collaborated with scholars based in United States and China. Frequent co-authors include Leon O. Chua, Linda G. Shapiro, Mark Sussman, W.L. Cheung, Wei Wang, Yongsheng Lian, Xiaosi Su, M. Yousuff Hussaini, Robert Johnson and Craig M. Wittenbrink. Their work appears in journals such as Journal of Scientific Computing, IEEE Intelligent Transportation Systems Magazine, IEEE Transactions on Circuits and Systems and The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology.
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.