Zhongmin Wang
- Computational Mechanics top 10%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Gonzalo R. ArceCong GaoWeisong ShiBrian M. SadlerJosé L. ParedesSebastián HoyosYanping ChenZhuizhuan Yu
- Topics
- Anomaly Detection Techniques and Applications (8 papers)Network Security and Intrusion Detection (5 papers)Sparse and Compressive Sensing Techniques (4 papers)
- Partner nations
- ChinaUnited StatesVenezuela
In The Last Decade
Zhongmin Wang
26 papers receiving 321 citations
Peers
Comparison fields: 5 of 62
- Computational Mechanics 123
- Biomedical Engineering 103
- Computer Networks and Communications 83
- Artificial Intelligence 81
- Electrical and Electronic Engineering 78
Countries citing papers authored by Zhongmin Wang
This map shows the geographic impact of Zhongmin 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 Zhongmin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongmin Wang more than expected).
Fields of papers citing papers by Zhongmin Wang
This network shows the impact of papers produced by Zhongmin 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 Zhongmin Wang. The network helps show where Zhongmin Wang may publish in the future.
Co-authorship network of co-authors of Zhongmin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongmin Wang. A scholar is included among the top collaborators of Zhongmin 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 Zhongmin Wang. Zhongmin 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 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 92 | |
| 13 | Research on Method of Image Edge Detection | 1 |
| 14 | Research Status and Development Tendency of Searching and Rescuing Robot | 4 |
| 15 | A study on the bilingual teaching of the principles of microcomputer | 1 |
| 16 | Theory and implementation of UDDI | 1 |
| 17 | Trajectory Tracking Control on Wheeled Mobile Robot | 4 |
| 18 | Trajectory tracking control on nonholonomic wheeled mobile robots | 0 |
| 19 | Survey of research on mobile robot autonomous navigation technology | 4 |
| 20 | 2 |
About Zhongmin Wang
Zhongmin Wang is a scholar working on Computational Mathematics, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 336 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Computational Mechanics (123 citations) and Signal Processing (50 citations). Zhongmin Wang has collaborated with scholars based in China, United States and Venezuela. Frequent co-authors include Gonzalo R. Arce, Cong Gao, Weisong Shi, Brian M. Sadler, José L. Paredes, Sebastián Hoyos, Yanping Chen, Zhuizhuan Yu, Hong Xia and Fengwei Wang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.
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.