Hai-Yun Yang

22 total papers · 444 total citations
13 papers, 341 citations indexed

About

Hai-Yun Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Hai-Yun Yang has authored 13 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in Hai-Yun Yang's work include Ultrasound Imaging and Elastography (6 papers), Breast Lesions and Carcinomas (4 papers) and RNA Interference and Gene Delivery (2 papers). Hai-Yun Yang is often cited by papers focused on Ultrasound Imaging and Elastography (6 papers), Breast Lesions and Carcinomas (4 papers) and RNA Interference and Gene Delivery (2 papers). Hai-Yun Yang collaborates with scholars based in China. Hai-Yun Yang's co-authors include Baoming Luo, Bing Ou, Xiaoyun Xiao, Yanling Wen, Hui Zhi, Huan Wu, Jingliang Ruan, Zizhuo Zhao, Xiaolin Xu and Liang Ming and has published in prestigious journals such as PLoS ONE, Cancer Science and Liver International.

In The Last Decade

Hai-Yun Yang

13 papers receiving 337 citations

Author Peers

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

Author						Papers	Cites
Hai-Yun Yang	185	140	75	55	44	13	341
Naum Papanicolau	262 1.4×	222 1.6×	13 0.2×	28 0.5×	56 1.3×	11	342
Mirjam Peek	121 0.7×	202 1.4×	121 1.6×	121 2.2×	5 0.1×	18	373
Kay Pepin	181 1.0×	146 1.0×	11 0.1×	11 0.2×	9 0.2×	13	334
Françoise Lefèbvre	104 0.6×	42 0.3×	21 0.3×	20 0.4×	91 2.1×	19	319
U. Krainick‐Strobel	116 0.6×	56 0.4×	153 2.0×	169 3.1×	36 0.8×	19	331
Lauren Friedlander	128 0.7×	58 0.4×	167 2.2×	183 3.3×	44 1.0×	10	305
Qingguang Lin	85 0.5×	95 0.7×	18 0.2×	47 0.9×	40 0.9×	21	314
Alexandra Barabasch	183 1.0×	78 0.6×	48 0.6×	21 0.4×	19 0.4×	22	385
Ariel Saracco	176 1.0×	70 0.5×	101 1.3×	109 2.0×	25 0.6×	14	312
Roka Namoto Matsubayashi	184 1.0×	27 0.2×	107 1.4×	41 0.7×	5 0.1×	16	402

Countries citing papers authored by Hai-Yun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Hai-Yun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai-Yun Yang

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