Xiaoning Li

83 total papers · 1.1k total citations
38 papers, 755 citations indexed

About

Xiaoning Li is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoning Li has authored 38 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoning Li's work include Esophageal Cancer Research and Treatment (5 papers), Ophthalmology and Visual Impairment Studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xiaoning Li is often cited by papers focused on Esophageal Cancer Research and Treatment (5 papers), Ophthalmology and Visual Impairment Studies (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xiaoning Li collaborates with scholars based in China, United States and United Kingdom. Xiaoning Li's co-authors include James N. George, Deirdra R. Terrell, Sara K. Vesely, George B. Selby, Zhikuan Yang, Leesa M. Galatz, Moeed Akbar, Mikhail Golman, Stavros Thomopoulos and Adam C. Abraham and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and IEEE Transactions on Image Processing.

In The Last Decade

Xiaoning Li

37 papers receiving 750 citations

Author Peers

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

Author						Papers	Cites
Xiaoning Li	176	149	146	112	110	38	755
H Gunn	284 1.6×	38 0.3×	71 0.5×	79 0.7×	76 0.7×	25	893
Gerald Schlaf	390 2.2×	58 0.4×	138 0.9×	131 1.2×	34 0.3×	48	801
Fumimaro Oseko	214 1.2×	20 0.1×	83 0.6×	114 1.0×	43 0.4×	67	891
Petr Bouček	27 0.2×	45 0.3×	32 0.2×	268 2.4×	26 0.2×	32	652
Leonid Kachko	128 0.7×	88 0.6×	105 0.7×	101 0.9×	15 0.1×	42	764
Alena Lodererová	88 0.5×	103 0.7×	97 0.7×	388 3.5×	18 0.2×	62	888
Linghong Huang	42 0.2×	166 1.1×	29 0.2×	69 0.6×	40 0.4×	41	670
Nobuo Koike	310 1.8×	42 0.3×	53 0.4×	65 0.6×	21 0.2×	23	826
Yutian Lei	227 1.3×	138 0.9×	44 0.3×	121 1.1×	16 0.1×	57	798
Ankit Saxena	413 2.3×	30 0.2×	76 0.5×	61 0.5×	23 0.2×	48	779

Countries citing papers authored by Xiaoning Li

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoning Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoning Li

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