Junyu Zhang
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computational Mechanics
- Management Science and Operations Research
- Co-authors
- Xi‐Ren CaoShuzhong ZhangLin XiaoDafang FuRajendra Prasad SinghShiqian MaMengdi WangAmrit Singh Bedi
- Topics
- Sparse and Compressive Sensing Techniques (10 papers)Reinforcement Learning in Robotics (7 papers)Advanced Optimization Algorithms Research (7 papers)
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Electron DevicesPhysics of Fluids
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junyu Zhang
29 papers receiving 194 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 73
- Electrical and Electronic Engineering 38
- Computer Networks and Communications 37
- Computational Mechanics 34
- Management Science and Operations Research 29
Countries citing papers authored by Junyu Zhang
This map shows the geographic impact of Junyu Zhang'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 Junyu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Zhang more than expected).
Fields of papers citing papers by Junyu Zhang
This network shows the impact of papers produced by Junyu Zhang. 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 Junyu Zhang. The network helps show where Junyu Zhang may publish in the future.
Co-authorship network of co-authors of Junyu Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Zhang. A scholar is included among the top collaborators of Junyu Zhang 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 Junyu Zhang. Junyu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 16 | |
| 20 | 27 |
About Junyu Zhang
Junyu Zhang is a scholar working on Computational Mathematics, Numerical Analysis and Computational Mechanics, having authored 38 papers that have together received 208 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Reinforcement Learning in Robotics (7 papers) and Advanced Optimization Algorithms Research (7 papers). The work is most often cited by research in Numerical Analysis (20 citations), Linguistics and Language (11 citations) and Management Science and Operations Research (29 citations). Junyu Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xi‐Ren Cao, Shuzhong Zhang, Lin Xiao, Dafang Fu, Rajendra Prasad Singh, Shiqian Ma, Mengdi Wang, Amrit Singh Bedi, Alec Koppel and Dingcheng Yang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Electron Devices and Physics of Fluids.
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.