Liwei Wu

55 total papers · 1.2k total citations
28 papers, 524 citations indexed

About

Liwei Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Liwei Wu has authored 28 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Liwei Wu's work include Topic Modeling (5 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (4 papers). Liwei Wu is often cited by papers focused on Topic Modeling (5 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (4 papers). Liwei Wu collaborates with scholars based in China, United States and Taiwan. Liwei Wu's co-authors include James Sharpnack, Cho‐Jui Hsieh, Mingxuan Wang, Shuqing Li, Lei Li, Yujun Shen, Ye Zheng, Lei Cui, Zehui Lin and Lei Li and has published in prestigious journals such as Pattern Recognition, Mechanical Systems and Signal Processing and IEEE Transactions on Multimedia.

In The Last Decade

Liwei Wu

26 papers receiving 503 citations

Author Peers

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

Author						Papers	Cites
Liwei Wu	316	176	145	91	42	28	524
Yali Du	266 0.8×	86 0.5×	50 0.3×	85 0.9×	29 0.7×	36	495
Kai Huang	351 1.1×	164 0.9×	76 0.5×	34 0.4×	34 0.8×	26	535
Xin Wang	324 1.0×	157 0.9×	63 0.4×	107 1.2×	26 0.6×	23	562
Mario Aldape-Pérez	232 0.7×	150 0.9×	55 0.4×	156 1.7×	16 0.4×	40	550
Xiao Yu	210 0.7×	123 0.7×	81 0.6×	38 0.4×	23 0.5×	34	545
Djaafar Zouache	307 1.0×	76 0.4×	43 0.3×	56 0.6×	41 1.0×	23	529
Ghada Khoriba	380 1.2×	144 0.8×	63 0.4×	53 0.6×	13 0.3×	41	600
Haiyan Wu	197 0.6×	99 0.6×	55 0.4×	112 1.2×	13 0.3×	38	460
Husam Ahmed Al Hamad	232 0.7×	117 0.7×	49 0.3×	56 0.6×	16 0.4×	19	473
Kai-Qing Zhou	202 0.6×	53 0.3×	44 0.3×	98 1.1×	25 0.6×	43	486

Countries citing papers authored by Liwei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Liwei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liwei Wu

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