Zongshan Wang
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Hongwei DingLiyong BaoBo LiZhijun YangPeng HouLin DuanmuZhiqiang ZhaiJie Wang
- Topics
- Metaheuristic Optimization Algorithms Research (12 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)Robotic Path Planning Algorithms (7 papers)
In The Last Decade
Zongshan Wang
29 papers receiving 569 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 235
- Electrical and Electronic Engineering 188
- Artificial Intelligence 157
- Computer Vision and Pattern Recognition 139
- Industrial and Manufacturing Engineering 115
Countries citing papers authored by Zongshan Wang
This map shows the geographic impact of Zongshan 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 Zongshan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zongshan Wang more than expected).
Fields of papers citing papers by Zongshan Wang
This network shows the impact of papers produced by Zongshan 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 Zongshan Wang. The network helps show where Zongshan Wang may publish in the future.
Co-authorship network of co-authors of Zongshan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zongshan Wang. A scholar is included among the top collaborators of Zongshan 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 Zongshan Wang. Zongshan 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 | 0 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 12 | |
| 12 | 73 | |
| 13 | 56 | |
| 14 | 17 | |
| 15 | 52 | |
| 16 | 37 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | Application of smart AVC(S10) to Luzhou power grid | 2 |
| 20 | 2 |
About Zongshan Wang
Zongshan Wang is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 32 papers that have together received 592 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (12 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Robotic Path Planning Algorithms (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (115 citations), Computer Networks and Communications (235 citations) and Computer Vision and Pattern Recognition (139 citations). Zongshan Wang has collaborated with scholars based in China, India and Lebanon. Frequent co-authors include Hongwei Ding, Liyong Bao, Bo Li, Zhijun Yang, Hongwei Ding, Peng Hou, Lin Duanmu, Zhiqiang Zhai, Jie Wang and Jie Wang. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Energy and Buildings.
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.