Zeqiu Wu

33 total papers · 821 total citations
9 papers, 289 citations indexed

About

Zeqiu Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zeqiu Wu has authored 9 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Zeqiu Wu's work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (3 papers). Zeqiu Wu is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (3 papers). Zeqiu Wu collaborates with scholars based in United States and United Kingdom. Zeqiu Wu's co-authors include Jiawei Han, Xiang Ren, Meng Qu, Wenqi He, Clare R. Voss, Heng Ji, Tarek Abdelzaher, Hannaneh Hajishirzi, Mari Ostendorf and Brian M. Sadler and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Zeqiu Wu

9 papers receiving 276 citations

Author Peers

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

Author						Papers	Cites
Zeqiu Wu	277	36	33	33	28	9	289
Peng-Hsuan Li	287 1.0×	55 1.5×	32 1.0×	23 0.7×	41 1.5×	7	309
Benfeng Xu	227 0.8×	28 0.8×	29 0.9×	34 1.0×	24 0.9×	14	258
Jialong Tang	223 0.8×	24 0.7×	28 0.8×	36 1.1×	13 0.5×	11	262
Francesco Piccinno	198 0.7×	29 0.8×	39 1.2×	45 1.4×	9 0.3×	16	236
Lujun Zhao	251 0.9×	34 0.9×	27 0.8×	26 0.8×	18 0.6×	11	285
Shulin Liu	266 1.0×	28 0.8×	64 1.9×	23 0.7×	17 0.6×	17	293
Qianying Liu	234 0.8×	31 0.9×	33 1.0×	24 0.7×	26 0.9×	19	265
Yunzhi Yao	265 1.0×	25 0.7×	39 1.2×	39 1.2×	20 0.7×	5	304
Minh C. Phan	189 0.7×	32 0.9×	42 1.3×	17 0.5×	30 1.1×	9	201
Altaf Rahman	270 1.0×	17 0.5×	25 0.8×	21 0.6×	31 1.1×	11	283

Countries citing papers authored by Zeqiu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Zeqiu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeqiu Wu

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