Xinhua Wei

73 total papers · 649 total citations
49 papers, 474 citations indexed

About

Xinhua Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xinhua Wei has authored 49 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Biomedical Engineering and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xinhua Wei's work include Nanoplatforms for cancer theranostics (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and MRI in cancer diagnosis (10 papers). Xinhua Wei is often cited by papers focused on Nanoplatforms for cancer theranostics (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and MRI in cancer diagnosis (10 papers). Xinhua Wei collaborates with scholars based in China, United States and Finland. Xinhua Wei's co-authors include Xinqing Jiang, Ruimeng Yang, Youyong Yuan, Yuan Guo, Yao Wang, Shi‐Wei Luo, Tianqi Liu, Xuegang Xin, Huikang Yang and Xuan Xiao and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Chemical Engineering Journal.

In The Last Decade

Xinhua Wei

42 papers receiving 470 citations

Author Peers

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

Author						Papers	Cites
Xinhua Wei	241	115	105	97	92	49	474
Liang Sang	169 0.7×	155 1.3×	70 0.7×	68 0.7×	73 0.8×	37	481
Wenkun Bai	267 1.1×	72 0.6×	71 0.7×	93 1.0×	64 0.7×	47	477
Nicholas Bernards	161 0.7×	147 1.3×	75 0.7×	45 0.5×	111 1.2×	36	485
Weixi Jiang	249 1.0×	137 1.2×	39 0.4×	99 1.0×	67 0.7×	22	552
Fang Nie	220 0.9×	76 0.7×	102 1.0×	69 0.7×	51 0.6×	54	478
Martyna Krzykawska-Serda	255 1.1×	90 0.8×	85 0.8×	158 1.6×	151 1.6×	30	506
Danke Su	161 0.7×	90 0.8×	214 2.0×	52 0.5×	95 1.0×	45	511
Qiang Li	175 0.7×	116 1.0×	78 0.7×	40 0.4×	52 0.6×	56	522
Lifang Jin	351 1.5×	104 0.9×	98 0.9×	162 1.7×	40 0.4×	27	537
Jindian Li	131 0.5×	133 1.2×	117 1.1×	47 0.5×	54 0.6×	33	476

Countries citing papers authored by Xinhua Wei

Since Specialization

Citations

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

Fields of papers citing papers by Xinhua Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Wei

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