Juan Meng
- Biomedical Engineering top 10%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Chaos control and synchronization (15 papers)Nonlinear Dynamics and Pattern Formation (7 papers)Neural Networks Stability and Synchronization (6 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Juan Meng
61 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Biomedical Engineering 262
- Molecular Biology 243
- Statistical and Nonlinear Physics 219
- Electronic, Optical and Magnetic Materials 200
- Computer Vision and Pattern Recognition 199
Countries citing papers authored by Juan Meng
This map shows the geographic impact of Juan Meng'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 Juan Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Meng more than expected).
Fields of papers citing papers by Juan Meng
This network shows the impact of papers produced by Juan Meng. 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 Juan Meng. The network helps show where Juan Meng may publish in the future.
Co-authorship network of co-authors of Juan Meng
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Meng. A scholar is included among the top collaborators of Juan Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan Meng. Juan Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 21 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | 39 | |
| 8 | 50 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 38 | |
| 12 | 3 | |
| 13 | Mission Planning Method of the Greedy Algorithm and Dynamic Programming | 1 |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 12 | |
| 17 | 2 | |
| 18 | 33 | |
| 19 | HYBRID 2-D ECG COMPRESSION METHOD BASED ON WAVELET TRANSFORM | 1 |
| 20 | [Analysis of nonylphenol, octylphenol and bisphenol A in animal tissues by liquid chromatography-tandem mass spectrometry with accelerated solvent extraction]. | 8 |
About Juan Meng
Juan Meng is a scholar working on Statistical and Nonlinear Physics, Metals and Alloys and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos control and synchronization (15 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (219 citations), Biophysics (89 citations) and Electronic, Optical and Magnetic Materials (200 citations). Juan Meng has collaborated with scholars based in China and United States. Frequent co-authors include Xingyuan Wang, Liangbao Yang, Lin Teng, Honglin Liu, Jinhuai Liu, Jing Liu, Zhenzhen Han, Yongmei Ma, Li Zhang and Xianghu Tang. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Applied Physics.
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.