Yuanzhen Wang
- Biomedical Engineering
- Artificial Intelligence top 10%
- Polymers and Plastics top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Topics
- Data Management and Algorithms (9 papers)Time Series Analysis and Forecasting (9 papers)Anomaly Detection Techniques and Applications (7 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuanzhen Wang
69 papers receiving 680 citations
Peers
Comparison fields: 5 of 120
- Biomedical Engineering 159
- Artificial Intelligence 126
- Polymers and Plastics 122
- Electrical and Electronic Engineering 105
- Materials Chemistry 100
Countries citing papers authored by Yuanzhen Wang
This map shows the geographic impact of Yuanzhen 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 Yuanzhen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanzhen Wang more than expected).
Fields of papers citing papers by Yuanzhen Wang
This network shows the impact of papers produced by Yuanzhen 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 Yuanzhen Wang. The network helps show where Yuanzhen Wang may publish in the future.
Co-authorship network of co-authors of Yuanzhen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanzhen Wang. A scholar is included among the top collaborators of Yuanzhen 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 Yuanzhen Wang. Yuanzhen 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 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 31 | |
| 14 | 8 | |
| 15 | 7 | |
| 16 | Early Abandon to Accelerate Exact Dynamic Time Warping | 13 |
| 17 | Kernel-based adaptive K-Medoid clustering | 3 |
| 18 | Processing and Optimization of UMQL-based Multimedia Queries | 1 |
| 19 | Association Rules Based Automatic Chinese Text Categorization | 3 |
| 20 | Technologies on geographical information data warehouse | 0 |
About Yuanzhen Wang
Yuanzhen Wang is a scholar working on Signal Processing, Artificial Intelligence and Electrochemistry, having authored 77 papers that have together received 710 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Time Series Analysis and Forecasting (9 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (60 citations), Polymers and Plastics (122 citations) and Signal Processing (76 citations). Yuanzhen Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lei Peng, Zongda Wu, Wei Tang, Yingkui Yang, Xiaolin Xie, Rengui Peng, Guiling Li, Yiying Tong, Jin Huang and Hujun Bao. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.
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.