Zhihe Wang
- Industrial and Manufacturing Engineering top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Building and Construction
- Co-authors
- Qiang ZhangXueyan LiuRan TianXiaojun MuXiangwen WangXujuan ZhangHui DuShuyan Wang
- Topics
- Advanced Clustering Algorithms Research (11 papers)Face and Expression Recognition (7 papers)Complex Network Analysis Techniques (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Zhihe Wang
20 papers receiving 174 citations
Peers
Comparison fields: 5 of 61
- Industrial and Manufacturing Engineering 67
- Computer Vision and Pattern Recognition 51
- Artificial Intelligence 32
- Public Health, Environmental and Occupational Health 22
- Building and Construction 21
Countries citing papers authored by Zhihe Wang
This map shows the geographic impact of Zhihe 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 Zhihe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihe Wang more than expected).
Fields of papers citing papers by Zhihe Wang
This network shows the impact of papers produced by Zhihe 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 Zhihe Wang. The network helps show where Zhihe Wang may publish in the future.
Co-authorship network of co-authors of Zhihe Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihe Wang. A scholar is included among the top collaborators of Zhihe 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 Zhihe Wang. Zhihe 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 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 114 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | An Improved Density-based Clustering Algorithm | 2 |
| 19 | Medical Diagnostic System Analysis Based on Rough Set Theory | 1 |
| 20 | Research of the Minimum Spanning Tree Clustering Algorithm | 1 |
About Zhihe Wang
Zhihe Wang is a scholar working on Space and Planetary Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 180 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Face and Expression Recognition (7 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (67 citations), Computer Vision and Pattern Recognition (51 citations) and Media Technology (15 citations). Zhihe Wang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Qiang Zhang, Xueyan Liu, Ran Tian, Xiaojun Mu, Xiangwen Wang, Xujuan Zhang, Hui Du, Shuyan Wang, Jing Qin and Shiyin Chen. Their work appears in journals such as Resources Conservation and Recycling, Applied Sciences and PeerJ.
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.