Jinshan Wang
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Biomedical Engineering
- Aerospace Engineering
- Control and Systems Engineering
- Topics
- Robotics and Sensor-Based Localization (6 papers)3D Surveying and Cultural Heritage (5 papers)Advanced Image Fusion Techniques (4 papers)
- Journals
- IEEE Transactions on Instrumentation and MeasurementNonlinear DynamicsApplied Mathematical Modelling
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Jinshan Wang
34 papers receiving 432 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 125
- Mechanical Engineering 117
- Biomedical Engineering 77
- Aerospace Engineering 72
- Control and Systems Engineering 57
Countries citing papers authored by Jinshan Wang
This map shows the geographic impact of Jinshan 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 Jinshan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinshan Wang more than expected).
Fields of papers citing papers by Jinshan Wang
This network shows the impact of papers produced by Jinshan 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 Jinshan Wang. The network helps show where Jinshan Wang may publish in the future.
Co-authorship network of co-authors of Jinshan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinshan Wang. A scholar is included among the top collaborators of Jinshan 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 Jinshan Wang. Jinshan 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 | 25 | |
| 2 | 34 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 59 | |
| 9 | 3 | |
| 10 | Gray Combination Forecast Of Equipment Support Cost Based On Genetic Algorithm | 1 |
| 11 | A novel neural network training algorithm based on generalized objective function | 2 |
| 12 | 1 | |
| 13 | 21 | |
| 14 | Genetic algorithm for partner selection in agile manufacturing | 0 |
| 15 | Experimental research on permeability of double state flow in CBM reservoir | 1 |
| 16 | Non-linear transform algorithm for image contrast enhancement | 2 |
| 17 | 0 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | The Fluid-Solid-Coupling Seepage of Two Phase Fluid(Gas and Water) in Coal Seams Gas Reservoir | 4 |
About Jinshan Wang
Jinshan Wang is a scholar working on Geology, Computer Vision and Pattern Recognition and Media Technology, having authored 38 papers that have together received 448 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), 3D Surveying and Cultural Heritage (5 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Geology (56 citations), Modeling and Simulation (29 citations) and Computer Vision and Pattern Recognition (125 citations). Jinshan Wang has collaborated with scholars based in China, India and United States. Frequent co-authors include Zeyu Gong, Bo Tao, Zhouping Yin, Han Ding, Xiaohu Xu, Sijie Yan, Gui‐Quan Sun, Dahu Zhu, Changjiang Zhang and Xiaodong Wang. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Nonlinear Dynamics and Applied Mathematical Modelling.
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.