Xiangming Mu

84 total papers · 715 total citations
47 papers, 466 citations indexed

About

Xiangming Mu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xiangming Mu has authored 47 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Molecular Biology. Recurrent topics in Xiangming Mu's work include Video Analysis and Summarization (13 papers), Biomedical Text Mining and Ontologies (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Xiangming Mu is often cited by papers focused on Video Analysis and Summarization (13 papers), Biomedical Text Mining and Ontologies (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Xiangming Mu collaborates with scholars based in United States, China and South Korea. Xiangming Mu's co-authors include Kun Lü, Gary Marchionini, Alexandra Dimitroff, Guangjun Zhou, Zhiyuan Guo, Xixiang Huo, Jing Jia, Linsen Zhou, Xinguo Zhu and Xudong Wu and has published in prestigious journals such as PLoS ONE, Computers & Education and BMC Bioinformatics.

In The Last Decade

Xiangming Mu

46 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Xiangming Mu	98	86	77	67	57	47	466
Barbara Mirel	207 2.1×	55 0.6×	56 0.7×	43 0.6×	67 1.2×	50	545
Bei Yang	134 1.4×	152 1.8×	39 0.5×	47 0.7×	32 0.6×	35	486
Yin Yang	54 0.6×	94 1.1×	104 1.4×	17 0.3×	78 1.4×	38	528
Kim Hung Leung	80 0.8×	99 1.2×	48 0.6×	78 1.2×	8 0.1×	26	505
Shan Chen	44 0.4×	65 0.8×	65 0.8×	15 0.2×	14 0.2×	49	446
Fiona McNeill	32 0.3×	168 2.0×	88 1.1×	12 0.2×	20 0.4×	57	409
Kudakwashe Dube	51 0.5×	201 2.3×	41 0.5×	44 0.7×	22 0.4×	33	467
Randi Karlsen	29 0.3×	118 1.4×	95 1.2×	32 0.5×	83 1.5×	47	472
Meilin Chen	91 0.9×	82 1.0×	12 0.2×	46 0.7×	9 0.2×	36	474
Ying Liu	24 0.2×	212 2.5×	32 0.4×	48 0.7×	17 0.3×	38	471

Countries citing papers authored by Xiangming Mu

Since Specialization

Citations

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

Fields of papers citing papers by Xiangming Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangming Mu

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