Jia Jia
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Modeling and Simulation top 5%
- Co-authors
- Xia HuangYuxia LiZhen WangZhigang ZengAhmed AlsaediJinde CaoYingjie FanFei Wang
- Topics
- Neural Networks Stability and Synchronization (13 papers)Advanced Memory and Neural Computing (12 papers)stochastic dynamics and bifurcation (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Partner nations
- ChinaSaudi Arabia
In The Last Decade
Jia Jia
27 papers receiving 547 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 372
- Statistical and Nonlinear Physics 259
- Electrical and Electronic Engineering 190
- Artificial Intelligence 172
- Modeling and Simulation 69
Countries citing papers authored by Jia Jia
This map shows the geographic impact of Jia Jia'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 Jia Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia Jia more than expected).
Fields of papers citing papers by Jia Jia
This network shows the impact of papers produced by Jia Jia. 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 Jia Jia. The network helps show where Jia Jia may publish in the future.
Co-authorship network of co-authors of Jia Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Jia Jia. A scholar is included among the top collaborators of Jia Jia 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 Jia Jia. Jia Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 8 | |
| 5 | 33 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 97 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 34 | |
| 13 | 4 | |
| 14 | 55 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | Towards Trustworthy Resource Selection in Grid: A Fuzzy Partial Ordering based Approach | 1 |
About Jia Jia
Jia Jia is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Hardware and Architecture, having authored 27 papers that have together received 560 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (13 papers), Advanced Memory and Neural Computing (12 papers) and stochastic dynamics and bifurcation (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (259 citations), Computer Networks and Communications (372 citations) and Modeling and Simulation (69 citations). Jia Jia has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Xia Huang, Yuxia Li, Zhen Wang, Zhigang Zeng, Ahmed Alsaedi, Jinde Cao, Yingjie Fan, Fei Wang, Lianhong Cai and Quan Guo. Their work appears in journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.