Lihua Fu

92 total papers · 673 total citations
61 papers, 493 citations indexed

About

Lihua Fu is a scholar working on Geophysics, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Lihua Fu has authored 61 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Geophysics, 21 papers in Computer Vision and Pattern Recognition and 16 papers in Ocean Engineering. Recurrent topics in Lihua Fu's work include Seismic Imaging and Inversion Techniques (31 papers), Image and Signal Denoising Methods (17 papers) and Seismic Waves and Analysis (10 papers). Lihua Fu is often cited by papers focused on Seismic Imaging and Inversion Techniques (31 papers), Image and Signal Denoising Methods (17 papers) and Seismic Waves and Analysis (10 papers). Lihua Fu collaborates with scholars based in China, United Kingdom and United States. Lihua Fu's co-authors include Meng Zhang, Hongwei Li, Qun Liu, Zhiming Li, Shaoyong Liu, Wenting Cheng, Xiangyun Hu, Qin Wang, Shuang Liu and Hongwei Li and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Microbiology.

In The Last Decade

Lihua Fu

54 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Lihua Fu	348	179	100	71	68	61	493
Wenchao Chen	325 0.9×	155 0.9×	112 1.1×	56 0.8×	58 0.9×	53	456
Shoudong Huo	297 0.9×	176 1.0×	40 0.4×	50 0.7×	33 0.5×	32	405
Emílio Vital Brazil	206 0.6×	150 0.8×	149 1.5×	71 1.0×	109 1.6×	53	478
Yang Yang	298 0.9×	155 0.9×	87 0.9×	102 1.4×	92 1.4×	57	520
Gulan Zhang	311 0.9×	209 1.2×	67 0.7×	92 1.3×	48 0.7×	60	466
Yih Jeng	340 1.0×	279 1.6×	26 0.3×	34 0.5×	40 0.6×	31	459
Jin Li	216 0.6×	57 0.3×	84 0.8×	44 0.6×	49 0.7×	63	537
Zhe Yan	129 0.4×	91 0.5×	188 1.9×	37 0.5×	91 1.3×	39	484
Bo Yang	156 0.4×	58 0.3×	52 0.5×	58 0.8×	68 1.0×	36	499
Zhining Li	240 0.7×	113 0.6×	37 0.4×	136 1.9×	51 0.8×	43	481

Countries citing papers authored by Lihua Fu

Since Specialization

Citations

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

Fields of papers citing papers by Lihua Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihua Fu

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