Wenwu Wang
About
In The Last Decade
Wenwu Wang
345 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Signal Processing 3.0k
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 1.4k
- Computational Mechanics 754
- Electrical and Electronic Engineering 348
Countries citing papers authored by Wenwu Wang
This map shows the geographic impact of Wenwu 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 Wenwu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenwu Wang more than expected).
Fields of papers citing papers by Wenwu Wang
This network shows the impact of papers produced by Wenwu 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 Wenwu Wang. The network helps show where Wenwu Wang may publish in the future.
Co-authorship network of co-authors of Wenwu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wenwu Wang. A scholar is included among the top collaborators of Wenwu 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 Wenwu Wang. Wenwu 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 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey breakdown → | 21 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 14 | |
| 17 | 28 | |
| 18 | DCASE 2018 Challenge baseline with convolutional neural networks. | 11 |
| 19 | Audio-visual tracking of a variable number of speakers with a random finite set approach | 4 |
| 20 | Subset pursuit for analysis dictionary learning | 10 |
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.