Renhe Liu

88 total papers · 1.6k total citations
48 papers, 1.1k citations indexed

About

Renhe Liu is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Renhe Liu has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Organic Chemistry and 7 papers in Molecular Biology. Recurrent topics in Renhe Liu's work include Image and Signal Denoising Methods (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers) and Remote-Sensing Image Classification (5 papers). Renhe Liu is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers) and Remote-Sensing Image Classification (5 papers). Renhe Liu collaborates with scholars based in China, United States and Canada. Renhe Liu's co-authors include Kang Zhao, Gabrielle Winston‐McPherson, Weiping Tang, Yunfei Du, Yao Fu, Weiyuan John Kao, Min Zhang, Feng Wang, Xin Zhou and Ilia A. Guzei and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Renhe Liu

43 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Renhe Liu	559	228	89	78	69	48	1.1k
Guilong Zhao	443 0.8×	268 1.2×	84 0.9×	74 0.9×	94 1.4×	61	955
Huijun Dong	948 1.7×	318 1.4×	61 0.7×	29 0.4×	78 1.1×	72	1.5k
Heung Bae Jeon	967 1.7×	571 2.5×	71 0.8×	31 0.4×	188 2.7×	71	1.3k
M. Rama Rao	529 0.9×	105 0.5×	45 0.5×	94 1.2×	223 3.2×	56	1.1k
Xinxin Lv	378 0.7×	252 1.1×	56 0.6×	32 0.4×	102 1.5×	72	942
Zongshi Li	371 0.7×	391 1.7×	117 1.3×	80 1.0×	152 2.2×	61	1.1k
Huajian Zhu	597 1.1×	443 1.9×	89 1.0×	62 0.8×	80 1.2×	97	1.2k
Cui Chen	469 0.8×	196 0.9×	58 0.7×	14 0.2×	60 0.9×	85	1.2k
Rachida Zerrouki	593 1.1×	330 1.4×	207 2.3×	22 0.3×	185 2.7×	73	1.2k
Tatsuo Saito	611 1.1×	180 0.8×	59 0.7×	23 0.3×	103 1.5×	68	978

Countries citing papers authored by Renhe Liu

Since Specialization

Citations

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

Fields of papers citing papers by Renhe Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renhe Liu

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