Baiwu Zhang

9 total papers · 618 total citations
2 papers, 277 citations indexed

About

Baiwu Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Law. According to data from OpenAlex, Baiwu Zhang has authored 2 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Law. Recurrent topics in Baiwu Zhang's work include Generative Adversarial Networks and Image Synthesis (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Data Quality and Management (1 paper). Baiwu Zhang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (1 paper), Privacy-Preserving Technologies in Data (1 paper) and Data Quality and Management (1 paper). Baiwu Zhang collaborates with scholars based in United States and Canada. Baiwu Zhang's co-authors include Nicolas Papernot, David Lie, Varun Chandrasekaran, Hengrui Jia, Christopher A. Choquette-Choo, Jin Zhou and Ilia Shumailov and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Baiwu Zhang

2 papers receiving 269 citations

Hit Papers

Machine Unlearning 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Baiwu Zhang 208 66 32 31 15 2 277
Kai Zhang 185 0.9× 38 0.6× 29 0.9× 56 1.8× 20 1.3× 6 331
Shaochen Zhong 132 0.6× 22 0.3× 40 1.3× 27 0.9× 12 0.8× 5 261
Bo Li 222 1.1× 55 0.8× 24 0.8× 31 1.0× 33 2.2× 7 276
Mohammad Al-Rubaie 223 1.1× 46 0.7× 48 1.5× 41 1.3× 35 2.3× 5 300
Hongye Jin 123 0.6× 20 0.3× 39 1.2× 23 0.7× 9 0.6× 2 229
Yeganeh Kordi 186 0.9× 41 0.6× 38 1.2× 13 0.4× 11 0.7× 2 259
Bernd Malle 164 0.8× 39 0.6× 28 0.9× 15 0.5× 10 0.7× 4 264
Yuanqin He 209 1.0× 19 0.3× 29 0.9× 37 1.2× 7 0.5× 7 246
Anbu Huang 269 1.3× 45 0.7× 44 1.4× 40 1.3× 4 0.3× 6 326
Zhiyuan Xie 192 0.9× 100 1.5× 22 0.7× 62 2.0× 15 1.0× 8 293

Countries citing papers authored by Baiwu Zhang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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