Zhijian Wang
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Service-Oriented Architecture and Web Services (7 papers)Advanced Computational Techniques and Applications (5 papers)Software Testing and Debugging Techniques (4 papers)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Zhijian Wang
29 papers receiving 312 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 116
- Computer Vision and Pattern Recognition 115
- Electrical and Electronic Engineering 76
- Information Systems 67
- Computational Theory and Mathematics 62
Countries citing papers authored by Zhijian Wang
This map shows the geographic impact of Zhijian 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 Zhijian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhijian Wang more than expected).
Fields of papers citing papers by Zhijian Wang
This network shows the impact of papers produced by Zhijian 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 Zhijian Wang. The network helps show where Zhijian Wang may publish in the future.
Co-authorship network of co-authors of Zhijian Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhijian Wang. A scholar is included among the top collaborators of Zhijian 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 Zhijian Wang. Zhijian 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 | 0 | |
| 3 | 1 | |
| 4 | 63 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | Temperature characteristics in the Balkhash Lake Basin from 1936 to 2005 | 2 |
| 12 | 3 | |
| 13 | Improved chaotic genetic algorithm for optimal operation of hydropower reservoirs | 1 |
| 14 | Information sharing services under digital basin environment | 0 |
| 15 | 1 | |
| 16 | Offset algorithm for curves on triangle meshes | 1 |
| 17 | Research of Service-oriented Component Model | 0 |
| 18 | Reasoning and calculation of spatial direction relationship between complex objects based on Voronoi diagram | 1 |
| 19 | Research on IPv6 Label Switching Architecture | 0 |
| 20 | Research & realization on data shared of "digital basin | 0 |
About Zhijian Wang
Zhijian Wang is a scholar working on Software, Artificial Intelligence and Information Systems, having authored 35 papers that have together received 322 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (7 papers), Advanced Computational Techniques and Applications (5 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Energy Engineering and Power Technology (14 citations) and Software (15 citations). Zhijian Wang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Ping Ping, Feng Xu, Min-Ling Zhang, Miguel Martínez-García, Guangjie Han, Zhengwei Xu, Li Liu, Feng Ye, Zihao Liu and Guoyan Xu. Their work appears in journals such as Neurocomputing, Signal Processing and Applied Sciences.
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.