Bi-Yun Wang

8 total papers · 613 total citations
6 papers, 252 citations indexed

About

Bi-Yun Wang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Bi-Yun Wang has authored 6 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pulmonary and Respiratory Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cancer Research. Recurrent topics in Bi-Yun Wang's work include Medical Imaging Techniques and Applications (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Bi-Yun Wang is often cited by papers focused on Medical Imaging Techniques and Applications (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Bi-Yun Wang collaborates with scholars based in China, Canada and United States. Bi-Yun Wang's co-authors include Xi-Chun Hu, Zhong-Hua Wang, Zhi-Min Shao, Jian Zhang, Si Sun, Stefano Fais, Junning Cao, Xin Liu, Xiaonan Hong and Jian Zhang and has published in prestigious journals such as PLoS ONE, BMC Cancer and Journal of Experimental & Clinical Cancer Research.

In The Last Decade

Bi-Yun Wang

6 papers receiving 248 citations

Author Peers

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

Author						Papers	Cites
Bi-Yun Wang	96	88	72	66	40	6	252
Amanda Kerr	71 0.7×	96 1.1×	101 1.4×	63 1.0×	33 0.8×	7	279
Chun Chung Yau	150 1.6×	90 1.0×	92 1.3×	41 0.6×	28 0.7×	11	283
Ali Hussain	128 1.3×	45 0.5×	64 0.9×	55 0.8×	18 0.5×	5	275
Alexandra H. Besser	123 1.3×	94 1.1×	114 1.6×	31 0.5×	42 1.1×	6	283
Xi-Chun Hu	112 1.2×	117 1.3×	111 1.5×	69 1.0×	46 1.1×	12	316
Netanya Pollock	138 1.4×	77 0.9×	154 2.1×	57 0.9×	24 0.6×	10	313
Jiahao Qiu	154 1.6×	62 0.7×	70 1.0×	38 0.6×	22 0.6×	5	300
Jürgen Wolf	108 1.1×	50 0.6×	94 1.3×	87 1.3×	29 0.7×	11	276
C. Norman Coleman	140 1.5×	36 0.4×	125 1.7×	46 0.7×	43 1.1×	7	295
Félicie Sherer	93 1.0×	37 0.4×	54 0.8×	71 1.1×	24 0.6×	8	233

Countries citing papers authored by Bi-Yun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Bi-Yun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bi-Yun Wang. 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 Bi-Yun Wang. The network helps show where Bi-Yun Wang may publish in the future.

Co-authorship network of co-authors of Bi-Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bi-Yun Wang. A scholar is included among the top collaborators of Bi-Yun Wang 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 Bi-Yun Wang. Bi-Yun Wang 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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