Kaidi Li

49 total papers · 514 total citations
18 papers, 305 citations indexed

About

Kaidi Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Kaidi Li has authored 18 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in Kaidi Li's work include Systemic Lupus Erythematosus Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Terahertz technology and applications (2 papers). Kaidi Li is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Terahertz technology and applications (2 papers). Kaidi Li collaborates with scholars based in China, United States and United Kingdom. Kaidi Li's co-authors include Shanqing Li, Naixin Liang, Rui Zhang, Maojun Yang, Kai Liu, Emma Pickwell‐MacPherson, Jianbin Xu, Zefeng Chen, Qingming Chen and Xuming Zhang and has published in prestigious journals such as Frontiers in Microbiology, Journal of Vascular Surgery and Environmental Research.

In The Last Decade

Kaidi Li

15 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
Kaidi Li	99	84	76	72	60	18	305
Libin Huang	46 0.5×	134 1.6×	122 1.6×	20 0.3×	57 0.9×	28	366
Isla R. M. Barnard	71 0.7×	143 1.7×	40 0.5×	72 1.0×	10 0.2×	11	364
Maria Mangini	56 0.6×	128 1.5×	119 1.6×	11 0.2×	103 1.7×	21	350
Feng Gao	39 0.4×	101 1.2×	145 1.9×	16 0.2×	27 0.5×	16	334
Shun Hu	65 0.7×	64 0.8×	94 1.2×	14 0.2×	23 0.4×	24	278
Sook Young Kim	19 0.2×	133 1.6×	129 1.7×	38 0.5×	29 0.5×	26	343
Hideto Ozawa	32 0.3×	58 0.7×	15 0.2×	36 0.5×	18 0.3×	36	328
K. Akiyama	88 0.9×	51 0.6×	45 0.6×	10 0.1×	12 0.2×	27	359
Hasan Nisar	46 0.5×	105 1.3×	38 0.5×	22 0.3×	18 0.3×	18	265
Yingqi Hu	55 0.6×	89 1.1×	58 0.8×	49 0.7×	17 0.3×	19	238

Countries citing papers authored by Kaidi Li

Since Specialization

Citations

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

Fields of papers citing papers by Kaidi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaidi Li

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