Wu Cai

94 total papers · 680 total citations
32 papers, 240 citations indexed

About

Wu Cai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Wu Cai has authored 32 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Wu Cai's work include Radiation Dose and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Wu Cai is often cited by papers focused on Radiation Dose and Imaging (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). Wu Cai collaborates with scholars based in China, United States and Australia. Wu Cai's co-authors include Qing Lan, Chunhong Hu, Bochao Cheng, Wen‐Ling Tian, Sheng‐Qi Yang, Xiang-Ru Liu, P.G. Ranjith, Miao Chen, Jianfeng Zeng and Yingkun Guo and has published in prestigious journals such as ACS Nano, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Wu Cai

29 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
Wu Cai	75	64	50	39	29	32	240
Nikhil K. Murthy	42 0.6×	39 0.6×	45 0.9×	10 0.3×	49 1.7×	36	256
Wenbo Li	103 1.4×	49 0.8×	11 0.2×	45 1.2×	5 0.2×	34	270
Wanlin Peng	8 0.1×	36 0.6×	83 1.7×	168 4.3×	6 0.2×	34	292
Guozhang Tang	13 0.2×	31 0.5×	26 0.5×	51 1.3×	15 0.5×	26	314
Rui Zhou	10 0.1×	16 0.3×	37 0.7×	52 1.3×	25 0.9×	29	280
Akira Saitoh	28 0.4×	23 0.4×	72 1.4×	14 0.4×	4 0.1×	38	310
Krzysztof Cieślicki	90 1.2×	69 1.1×	143 2.9×	18 0.5×	6 0.2×	32	325
Lele Huang	44 0.6×	16 0.3×	47 0.9×	41 1.1×	6 0.2×	37	256
Paula Montesinos	20 0.3×	11 0.2×	41 0.8×	118 3.0×	6 0.2×	26	287
Shin Morita	39 0.5×	42 0.7×	48 1.0×	25 0.6×	6 0.2×	26	321

Countries citing papers authored by Wu Cai

Since Specialization

Citations

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

Fields of papers citing papers by Wu Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Cai

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