Bingzhe Wu

104 total papers · 1.2k total citations
33 papers, 436 citations indexed

About

Bingzhe Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Bingzhe Wu has authored 33 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Bingzhe Wu's work include Privacy-Preserving Technologies in Data (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Graph Neural Networks (4 papers). Bingzhe Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Advanced Graph Neural Networks (4 papers). Bingzhe Wu collaborates with scholars based in China, United States and Hong Kong. Bingzhe Wu's co-authors include Chaochao Chen, Li Wang, Xiaolin Zheng, Zhihang Yuan, Yan Yan, Yun Liang, Jun Zhou, Size Zheng, Pengcheng Xu and Guangyu Sun and has published in prestigious journals such as Nature Methods, IEEE Transactions on Neural Networks and Learning Systems and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Bingzhe Wu

32 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Bingzhe Wu	260	78	64	53	50	33	436
Dong Li	182 0.7×	109 1.4×	21 0.3×	89 1.7×	79 1.6×	29	372
Jan Lemeire	173 0.7×	36 0.5×	23 0.4×	30 0.6×	62 1.2×	43	388
Lei Fang	150 0.6×	79 1.0×	46 0.7×	108 2.0×	71 1.4×	46	440
Chan‐Jin Chung	218 0.8×	47 0.6×	30 0.5×	34 0.6×	38 0.8×	31	390
Wenxuan Wang	235 0.9×	99 1.3×	69 1.1×	35 0.7×	37 0.7×	46	462
Ying Guo	206 0.8×	107 1.4×	40 0.6×	17 0.3×	14 0.3×	45	396
Fabio Daolio	223 0.9×	62 0.8×	21 0.3×	22 0.4×	27 0.5×	24	392
Matin Pirouz	199 0.8×	59 0.8×	182 2.8×	48 0.9×	58 1.2×	34	479
Virendrakumar C. Bhavsar	224 0.9×	77 1.0×	84 1.3×	50 0.9×	133 2.7×	51	467
Brendan Juba	231 0.9×	44 0.6×	32 0.5×	62 1.2×	91 1.8×	35	437

Countries citing papers authored by Bingzhe Wu

Since Specialization

Citations

This map shows the geographic impact of Bingzhe Wu'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 Bingzhe Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingzhe Wu more than expected).

Fields of papers citing papers by Bingzhe Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bingzhe Wu. 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 Bingzhe Wu. The network helps show where Bingzhe Wu may publish in the future.

Co-authorship network of co-authors of Bingzhe Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bingzhe Wu. A scholar is included among the top collaborators of Bingzhe Wu 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 Bingzhe Wu. Bingzhe Wu 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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