Fan Lin

105 total papers · 1.9k total citations
80 papers, 1.2k citations indexed

About

Fan Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Fan Lin has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Fan Lin's work include Radiomics and Machine Learning in Medical Imaging (29 papers), MRI in cancer diagnosis (16 papers) and Advanced X-ray and CT Imaging (12 papers). Fan Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), MRI in cancer diagnosis (16 papers) and Advanced X-ray and CT Imaging (12 papers). Fan Lin collaborates with scholars based in China, Hong Kong and Macao. Fan Lin's co-authors include Lei Yi, Hanwen Zhang, Enming Cui, Juan Yu, Li-hong Liang, Hua-jian Xu, Huan Chen, Siping Luo, Hong Zhang and Ning Mao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Clinical Cancer Research.

In The Last Decade

Fan Lin

69 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Fan Lin	727	292	204	180	141	80	1.2k
Yuancheng Wang	530 0.7×	177 0.6×	111 0.5×	76 0.4×	139 1.0×	95	1.2k
Lei Yi	508 0.7×	194 0.7×	120 0.6×	67 0.4×	143 1.0×	76	1.0k
Xinhua Wei	586 0.8×	144 0.5×	164 0.8×	66 0.4×	72 0.5×	73	1.3k
Yan Bai	403 0.6×	105 0.4×	103 0.5×	61 0.3×	340 2.4×	63	1.4k
G Lemaître	436 0.6×	133 0.5×	123 0.6×	179 1.0×	82 0.6×	49	950
Oliver Sedlaczek	396 0.5×	321 1.1×	255 1.3×	41 0.2×	59 0.4×	48	1.4k
Chen Gao	335 0.5×	387 1.3×	76 0.4×	49 0.3×	72 0.5×	66	1.1k
Feng Chen	521 0.7×	112 0.4×	85 0.4×	82 0.5×	29 0.2×	96	1.1k
Xiaoyi Wang	228 0.3×	167 0.6×	99 0.5×	39 0.2×	87 0.6×	95	914
Chao Ma	550 0.8×	171 0.6×	102 0.5×	95 0.5×	38 0.3×	120	1.3k

Countries citing papers authored by Fan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Lin

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