Fang Jin-Qing
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Topics
- Nonlinear Dynamics and Pattern Formation (28 papers)Chaos control and synchronization (26 papers)Complex Network Analysis Techniques (23 papers)
In The Last Decade
Fang Jin-Qing
76 papers receiving 487 citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 407
- Computer Networks and Communications 296
- Artificial Intelligence 66
- Electrical and Electronic Engineering 44
- Control and Systems Engineering 41
Countries citing papers authored by Fang Jin-Qing
This map shows the geographic impact of Fang Jin-Qing'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 Fang Jin-Qing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Jin-Qing more than expected).
Fields of papers citing papers by Fang Jin-Qing
This network shows the impact of papers produced by Fang Jin-Qing. 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 Fang Jin-Qing. The network helps show where Fang Jin-Qing may publish in the future.
Co-authorship network of co-authors of Fang Jin-Qing
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Jin-Qing. A scholar is included among the top collaborators of Fang Jin-Qing 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 Fang Jin-Qing. Fang Jin-Qing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 11 | |
| 3 | Several advances in chaos-based communication and research of information security associated with networks | 2 |
| 4 | 7 | |
| 5 | Recent Progress of Deterministic Models for Complex Networks | 4 |
| 6 | Investigating High-Tech Networks with Four Levels from Developing Viewpoint of Network Science | 2 |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | Exploring Theoretical Model of Network Science and Research Progresses | 1 |
| 13 | 1 | |
| 14 | 7 | |
| 15 | CONTROL OF BEAM HALO-CHAOS BY DELAYED SELF-CONTROLLING FEEDBACK | 0 |
| 16 | 3 | |
| 17 | 2 | |
| 18 | Physical mechanism of beam halo-chaos formation for high-current proton beam in a periodic-focusing channels and a nonlinear control strategy | 1 |
| 19 | 1 | |
| 20 | 2 |
About Fang Jin-Qing
Fang Jin-Qing is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 80 papers that have together received 551 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (28 papers), Chaos control and synchronization (26 papers) and Complex Network Analysis Techniques (23 papers). The work is most often cited by research in Statistical and Nonlinear Physics (407 citations), Computer Networks and Communications (296 citations) and Geometry and Topology (29 citations). Fang Jin-Qing has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Guanrong Chen, Luo Xiao-Shu, Yiguang Hong, M. K. Ali, Bing-Hong Wang, Yong Li, Qiang Liu, Rong Zhang, Changpin Li and Yanli Zou. Their work appears in journals such as Physics Letters A, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.