Zhixin Wang
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Renewable Energy, Sustainability and the Environment
- Automotive Engineering top 10%
- Environmental Engineering top 10%
- Topics
- Hydrocarbon exploration and reservoir analysis (4 papers)Innovative concrete reinforcement materials (4 papers)Geological and Geophysical Studies (4 papers)
In The Last Decade
Zhixin Wang
35 papers receiving 667 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 348
- Aerospace Engineering 200
- Renewable Energy, Sustainability and the Environment 93
- Automotive Engineering 91
- Environmental Engineering 84
Countries citing papers authored by Zhixin Wang
This map shows the geographic impact of Zhixin 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 Zhixin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixin Wang more than expected).
Fields of papers citing papers by Zhixin Wang
This network shows the impact of papers produced by Zhixin 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 Zhixin Wang. The network helps show where Zhixin Wang may publish in the future.
Co-authorship network of co-authors of Zhixin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixin Wang. A scholar is included among the top collaborators of Zhixin 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 Zhixin Wang. Zhixin 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 | 1 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal | 16 |
| 10 | 3 | |
| 11 | 82 | |
| 12 | 29 | |
| 13 | HRIR customization using common factor decomposition and joint support vector regression | 3 |
| 14 | 17 | |
| 15 | The Research on the Appearance of Coal Pillar of Mine Pressure appened on Upper Layer of Close Seam due to Over-concentrated Exploration | 1 |
| 16 | Model Test of River Closure at Xiangjiaba Dam Hydropower Project | 1 |
| 17 | 7 | |
| 18 | Basin-formation Evolution and Its Effect on Petroleum Formation in the Southern and Northern Margins of Bogda | 2 |
| 19 | Influence of active admixture to durability of recycled concrete | 1 |
| 20 | DISCUSSIONS ON THE TRAPPING MECHANISM OF SHANBEI OIL POOL IN JIUXI BASIN | 1 |
About Zhixin Wang
Zhixin Wang is a scholar working on Geology, General Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 687 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (4 papers), Innovative concrete reinforcement materials (4 papers) and Geological and Geophysical Studies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (348 citations), Geology (55 citations) and Instrumentation (33 citations). Zhixin Wang has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Kui Jia, Changhui Wang, Yuansheng Pei, Ling‐Ling He, Bin Liu, Yong‐Xia Wang, Yanjie Yang, Yanping Gao, Xin Wang and Xian Rong. Their work appears in journals such as Water Research, Bioresource Technology and Chemical Engineering Journal.
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.