Zhijie Wang
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Topics
- Neural dynamics and brain function (26 papers)stochastic dynamics and bifurcation (15 papers)Advanced Memory and Neural Computing (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhijie Wang
82 papers receiving 904 citations
Peers
Comparison fields: 5 of 117
- Statistical and Nonlinear Physics 176
- Cognitive Neuroscience 168
- Computer Vision and Pattern Recognition 158
- Electrical and Electronic Engineering 156
- Computer Networks and Communications 149
Countries citing papers authored by Zhijie Wang
This map shows the geographic impact of Zhijie Wang'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 Zhijie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijie Wang more than expected).
Fields of papers citing papers by Zhijie Wang
This network shows the impact of papers produced by Zhijie Wang. 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 Zhijie Wang. The network helps show where Zhijie Wang may publish in the future.
Co-authorship network of co-authors of Zhijie Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhijie Wang. A scholar is included among the top collaborators of Zhijie Wang 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 Zhijie Wang. Zhijie Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | Study on Combinatorial Optimization Problem represented by TSP: Recent Research Work and Perspective | 1 |
| 18 | Trend forecase of the ventilator based on the wavelet neural network | 1 |
| 19 | Study on the TSP Based on an Improved Energy Function and Transiently Chaotic Neural Network Model | 1 |
| 20 | Trend Estimate of the Mine Hoist Based on the Wavelet Neural Network | 4 |
About Zhijie Wang
Zhijie Wang is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 932 indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), stochastic dynamics and bifurcation (15 papers) and Advanced Memory and Neural Computing (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (176 citations), Cognitive Neuroscience (168 citations) and Computer Vision and Pattern Recognition (158 citations). Zhijie Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fang Han, Jinghong Ma, Jinghua Gong, Zain Anwar Ali, Shazia Riaz, Jian‐an Fang, Jian Xu, Hong Fan, Wuneng Zhou and Min Xia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.