Xiaoran Chen

103 total papers · 874 total citations
52 papers, 354 citations indexed

About

Xiaoran Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Xiaoran Chen has authored 52 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Mechanical Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Xiaoran Chen's work include Geotechnical Engineering and Analysis (5 papers), Geotechnical Engineering and Soil Stabilization (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Xiaoran Chen is often cited by papers focused on Geotechnical Engineering and Analysis (5 papers), Geotechnical Engineering and Soil Stabilization (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Xiaoran Chen collaborates with scholars based in China, Switzerland and Austria. Xiaoran Chen's co-authors include Ender Konukoglu, Sicong Li, Xin Liu, Luc Van Gool, Yuhua Chen, Jun Li, Wei Han, Lin Han, Wenwen Li and Feng Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoran Chen

43 papers receiving 341 citations

Author Peers

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

Author						Papers	Cites
Xiaoran Chen	91	74	47	39	38	52	354
Chen Yang	60 0.7×	56 0.8×	24 0.5×	59 1.5×	31 0.8×	39	321
Huichuan Duan	78 0.9×	73 1.0×	13 0.3×	24 0.6×	73 1.9×	46	344
Chen Cui	56 0.6×	31 0.4×	49 1.0×	14 0.4×	24 0.6×	60	386
S. Kalaivani	57 0.6×	43 0.6×	12 0.3×	33 0.8×	50 1.3×	63	384
Yijie Zhang	123 1.4×	125 1.7×	31 0.7×	47 1.2×	42 1.1×	33	401
Sheng-Chih Yang	77 0.8×	49 0.7×	78 1.7×	35 0.9×	29 0.8×	36	293
Thomas Li	193 2.1×	50 0.7×	17 0.4×	24 0.6×	44 1.2×	24	362
Hong Liang	100 1.1×	64 0.9×	19 0.4×	47 1.2×	5 0.1×	66	404
Giovanna Maria Dimitri	50 0.5×	91 1.2×	81 1.7×	14 0.4×	33 0.9×	42	365
Hu Li	20 0.2×	131 1.8×	86 1.8×	19 0.5×	10 0.3×	34	382

Countries citing papers authored by Xiaoran Chen

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoran Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoran Chen

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