Lixuan Chen

35 total papers · 583 total citations
23 papers, 448 citations indexed

About

Lixuan Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Lixuan Chen has authored 23 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Lixuan Chen's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Toxic Organic Pollutants Impact (3 papers) and Medicinal Plants and Bioactive Compounds (3 papers). Lixuan Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Toxic Organic Pollutants Impact (3 papers) and Medicinal Plants and Bioactive Compounds (3 papers). Lixuan Chen collaborates with scholars based in China and United States. Lixuan Chen's co-authors include Feng Zeng, Kunyan Cui, Danling Luo, Zhiyong Xie, Lina Wu, Min Liu, Yujun Lin, Zunxiang Zeng, Xingqiang Lü and Fang Zhu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Lixuan Chen

20 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Lixuan Chen	279	201	62	50	29	23	448
Mengru Fu	209 0.7×	221 1.1×	59 1.0×	75 1.5×	38 1.3×	30	433
Hye-Jin Eom	180 0.6×	178 0.9×	64 1.0×	33 0.7×	20 0.7×	23	417
Masato Honda	297 1.1×	243 1.2×	31 0.5×	36 0.7×	31 1.1×	18	500
Jingyu Qin	198 0.7×	123 0.6×	54 0.9×	16 0.3×	26 0.9×	18	441
Yang Xiao	163 0.6×	145 0.7×	97 1.6×	13 0.3×	18 0.6×	28	525
Gladys Deumer	304 1.1×	169 0.8×	67 1.1×	15 0.3×	36 1.2×	19	532
Yaquan Liu	161 0.6×	159 0.8×	70 1.1×	47 0.9×	65 2.2×	20	426
Mingtang Li	123 0.4×	119 0.6×	82 1.3×	34 0.7×	69 2.4×	42	468
Mario Iaccarino	289 1.0×	181 0.9×	49 0.8×	40 0.8×	18 0.6×	17	539
Anna Monnolo	259 0.9×	119 0.6×	56 0.9×	34 0.7×	17 0.6×	12	438

Countries citing papers authored by Lixuan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Lixuan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixuan Chen

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