Baiwu Zhang
About
In The Last Decade
Baiwu Zhang
2 papers receiving 282 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 68
- Information Systems 34
- Computer Networks and Communications 32
- Signal Processing 16
Countries citing papers authored by Baiwu Zhang
This map shows the geographic impact of Baiwu Zhang'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 Baiwu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baiwu Zhang more than expected).
Fields of papers citing papers by Baiwu Zhang
This network shows the impact of papers produced by Baiwu Zhang. 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 Baiwu Zhang. The network helps show where Baiwu Zhang may publish in the future.
Co-authorship network of co-authors of Baiwu Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Baiwu Zhang. A scholar is included among the top collaborators of Baiwu Zhang 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 Baiwu Zhang. Baiwu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Machine Unlearning breakdown → | 285 |
| 2 | Not My Deepfake: Towards Plausible Deniability for Machine-Generated Media | 5 |
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.