Xiaobao Wu

89 total papers · 451 total citations
30 papers, 196 citations indexed

About

Xiaobao Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaobao Wu has authored 30 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaobao Wu's work include Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Xiaobao Wu is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Multimodal Machine Learning Applications (6 papers). Xiaobao Wu collaborates with scholars based in Singapore, China and United States. Xiaobao Wu's co-authors include Anh Tuan Luu, Chunping Li, Yishu Miao, Yan Zhu, Jie Yu, Quan Gao, Liangming Pan, Junjie Fan, Zhenyu Zhao and Haiqun Cao and has published in prestigious journals such as Chemical Communications, Organic Letters and Artificial Intelligence Review.

In The Last Decade

Xiaobao Wu

21 papers receiving 191 citations

Author Peers

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

Author						Papers	Cites
Xiaobao Wu	114	46	45	22	20	30	196
Mikko Tolonen	58 0.5×	4 0.1×	21 0.5×	37 1.7×	27 1.4×	52	268
Romain Boulet	30 0.3×	36 0.8×	3 0.1×	7 0.3×	26 1.3×	16	184
Wei Yuan	41 0.4×	11 0.2×	3 0.1×	46 2.1×	11 0.6×	23	184
Priyanka Das	83 0.7×	78 1.7×	2 0.0×	46 2.1×	34 1.7×	28	287
Ramón Flores	27 0.2×	39 0.8×	1 0.0×	11 0.5×	37 1.9×	39	235
Dawei Yin	81 0.7×	66 1.4×	1 0.0×	39 1.8×	5 0.3×	34	200
Jan Rybicki	221 1.9×	5 0.1×	8 0.2×	13 0.6×	58 2.9×	30	290
He Zhao	154 1.4×		41 0.9×	29 1.3×	15 0.8×	23	237
Kiet Van Nguyen	186 1.6×	4 0.1×	4 0.1×	29 1.3×	7 0.3×	45	264
Kalliopi Zervanou	161 1.4×		17 0.4×	34 1.5×	14 0.7×	31	207

Countries citing papers authored by Xiaobao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobao Wu

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