Yanhong Wang
- Computational Mechanics top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Topics
- Advanced Image and Video Retrieval Techniques (5 papers)Image Retrieval and Classification Techniques (5 papers)Advanced Control Systems Optimization (4 papers)
- Journals
- IEEE Transactions on Image ProcessingIndustrial & Engineering Chemistry ResearchAIChE Journal
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Yanhong Wang
31 papers receiving 327 citations
Peers
Comparison fields: 5 of 63
- Computational Mechanics 104
- Mechanical Engineering 82
- Computer Vision and Pattern Recognition 72
- Control and Systems Engineering 63
- Electrical and Electronic Engineering 48
Countries citing papers authored by Yanhong Wang
This map shows the geographic impact of Yanhong 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 Yanhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhong Wang more than expected).
Fields of papers citing papers by Yanhong Wang
This network shows the impact of papers produced by Yanhong 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 Yanhong Wang. The network helps show where Yanhong Wang may publish in the future.
Co-authorship network of co-authors of Yanhong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yanhong Wang. A scholar is included among the top collaborators of Yanhong 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 Yanhong Wang. Yanhong 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 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 43 | |
| 6 | 49 | |
| 7 | 7 | |
| 8 | 18 | |
| 9 | 16 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | Study on Prediction and Optimization of Sintering Process Energy Consumption | 3 |
| 19 | 6 | |
| 20 | A Method for Parameter Selection of Support Vector Machine Updated Model | 1 |
About Yanhong Wang
Yanhong Wang is a scholar working on Fuel Technology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Advanced Control Systems Optimization (4 papers). The work is most often cited by research in Computational Mechanics (104 citations), Fuel Technology (3 citations) and Computer Vision and Pattern Recognition (72 citations). Yanhong Wang has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Xiaodong Wang, Shao-Yu Wang, Gui Lu, Yigang Cen, Ming Dong, Sufen Li, Shichao Kan, Shujiang Li, Zhongda Tian and Linna Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, Industrial & Engineering Chemistry Research and AIChE 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.