Yiyun Wu

48 total papers · 430 total citations
29 papers, 204 citations indexed

About

Yiyun Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yiyun Wu has authored 29 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Yiyun Wu's work include Medical Image Segmentation Techniques (11 papers), AI in cancer detection (9 papers) and Cardiovascular Health and Disease Prevention (6 papers). Yiyun Wu is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), AI in cancer detection (9 papers) and Cardiovascular Health and Disease Prevention (6 papers). Yiyun Wu collaborates with scholars based in China, Hong Kong and United States. Yiyun Wu's co-authors include Jing Cai, Tao Peng, Yangyang Liu, Yu Yan, Lin Meng, Hong Zhang, Jing Qin, Jing Zhao, Peimin Wang and Runlin Xing and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Yiyun Wu

25 papers receiving 202 citations

Author Peers

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

Author						Papers	Cites
Yiyun Wu	101	100	81	43	39	29	204
Chaitanya Kaul	79 0.8×	69 0.7×	49 0.6×	28 0.7×	26 0.7×	25	214
Sulaiman Vesal	73 0.7×	81 0.8×	116 1.4×	63 1.5×	38 1.0×	21	216
Fandong Zhang	114 1.1×	93 0.9×	108 1.3×	49 1.1×	20 0.5×	21	246
Marija Habijan	79 0.8×	92 0.9×	110 1.4×	14 0.3×	54 1.4×	28	240
Mostafa El Habib Daho	118 1.2×	64 0.6×	103 1.3×	16 0.4×	26 0.7×	33	272
Mahesh Pawar	77 0.8×	69 0.7×	52 0.6×	13 0.3×	23 0.6×	24	226
Gobert Lee	131 1.3×	139 1.4×	115 1.4×	15 0.3×	32 0.8×	32	268
Karen López‐Linares	62 0.6×	48 0.5×	80 1.0×	94 2.2×	92 2.4×	17	241
Nitesh Pradhan	106 1.0×	42 0.4×	62 0.8×	11 0.3×	35 0.9×	24	218
Guang Li	89 0.9×	52 0.5×	63 0.8×	18 0.4×	12 0.3×	28	264

Countries citing papers authored by Yiyun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yiyun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyun Wu

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