Xiaohong Wu

60 total papers · 561 total citations
38 papers, 406 citations indexed

About

Xiaohong Wu is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Xiaohong Wu has authored 38 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Ocean Engineering and 9 papers in Mechanics of Materials. Recurrent topics in Xiaohong Wu's work include Medical Image Segmentation Techniques (11 papers), Enhanced Oil Recovery Techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Xiaohong Wu is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Enhanced Oil Recovery Techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). Xiaohong Wu collaborates with scholars based in China. Xiaohong Wu's co-authors include Xiaohai He, Qizhi Teng, Junxi Feng, Chao Ren, Wei Gan, Kai Liu, Xiaomin Yang, Wei Wu, Xiaodong Zhang and Yang Li and has published in prestigious journals such as PLoS ONE, Acta Materialia and IEEE Access.

In The Last Decade

Xiaohong Wu

32 papers receiving 392 citations

Author Peers

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

Author						Papers	Cites
Xiaohong Wu	238	132	88	82	80	38	406
Huiwu Luo	126 0.5×	143 1.1×	31 0.4×	37 0.5×	66 0.8×	46	483
Yufei Zhao	174 0.7×	149 1.1×	120 1.4×	126 1.5×	43 0.5×	52	436
Gang Liu	134 0.6×	49 0.4×	20 0.2×	42 0.5×	46 0.6×	33	396
Hao Wu	78 0.3×	82 0.6×	59 0.7×	241 2.9×	64 0.8×	39	465
Qian Wang	114 0.5×	65 0.5×	65 0.7×	90 1.1×	28 0.3×	52	424
Dehui Kong	115 0.5×	82 0.6×	23 0.3×	249 3.0×	83 1.0×	42	450
Huigang Wang	96 0.4×	31 0.2×	49 0.6×	49 0.6×	20 0.3×	44	430
Jiong Chen	105 0.4×	80 0.6×	15 0.2×	226 2.8×	32 0.4×	45	422
Miguel Alemán-Flores	314 1.3×	130 1.0×	22 0.3×	51 0.6×	18 0.2×	19	469
Chengwei Liu	128 0.5×	64 0.5×	62 0.7×	114 1.4×	32 0.4×	32	441

Countries citing papers authored by Xiaohong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Wu

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