Baolan Lu

35 total papers · 489 total citations
21 papers, 218 citations indexed

About

Baolan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Baolan Lu has authored 21 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 6 papers in Surgery. Recurrent topics in Baolan Lu's work include Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (10 papers) and MRI in cancer diagnosis (9 papers). Baolan Lu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Colorectal Cancer Surgical Treatments (10 papers) and MRI in cancer diagnosis (9 papers). Baolan Lu collaborates with scholars based in China, United States and Germany. Baolan Lu's co-authors include Xinyue Yang, Xiaojuan Xiao, Yan Chen, Yiyan Liu, Bingqi Shen, Yan Chen, Xuehua Li, Li Huang, Heng Li and Shaohong Li and has published in prestigious journals such as American Journal of Roentgenology, Biomedicine & Pharmacotherapy and European Radiology.

In The Last Decade

Baolan Lu

19 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
Baolan Lu	125	94	56	52	37	21	218
Florian N. Loch	84 0.7×	109 1.2×	72 1.3×	23 0.4×	23 0.6×	21	207
Hanjin Yang	60 0.5×	48 0.5×	34 0.6×	21 0.4×	24 0.6×	22	232
Jacob P. Hoogendam	77 0.6×	47 0.5×	66 1.2×	19 0.4×	51 1.4×	32	272
Sandrine Richard	55 0.4×	99 1.1×	30 0.5×	11 0.2×	16 0.4×	22	187
Sirisha Nandalur	130 1.0×	46 0.5×	80 1.4×	7 0.1×	21 0.6×	21	299
E. Fernández-Velilla	113 0.9×	65 0.7×	63 1.1×	21 0.4×	12 0.3×	20	304
Glen Lo	44 0.4×	44 0.5×	16 0.3×	20 0.4×	23 0.6×	26	219
Michael Schvimer	30 0.2×	40 0.4×	59 1.1×	23 0.4×	33 0.9×	20	194
Angela Pepe	35 0.3×	44 0.5×	35 0.6×	10 0.2×	28 0.8×	23	299
Tania Saibene	51 0.4×	94 1.0×	31 0.6×	26 0.5×	16 0.4×	24	226

Countries citing papers authored by Baolan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Baolan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolan Lu

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