Yulan Peng

143 total papers · 2.0k total citations
77 papers, 953 citations indexed

About

Yulan Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Yulan Peng has authored 77 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Surgery and 14 papers in Biomedical Engineering. Recurrent topics in Yulan Peng's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (11 papers) and Thyroid Cancer Diagnosis and Treatment (9 papers). Yulan Peng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (11 papers) and Thyroid Cancer Diagnosis and Treatment (9 papers). Yulan Peng collaborates with scholars based in China, United States and Singapore. Yulan Peng's co-authors include Yixiang Duan, Chuangxin Lin, Heqing Zhang, Zhentao Tang, Kai Tong, Yong Liu, Wenwen Li, Jie Li, Jiangli Lin and Chunyu Zeng and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Circulation Research.

In The Last Decade

Yulan Peng

68 papers receiving 931 citations

Author Peers

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

Author						Papers	Cites
Yulan Peng	298	270	268	171	137	77	953
Zhili Wang	216 0.7×	193 0.7×	380 1.4×	120 0.7×	112 0.8×	75	1.2k
Jianwei Wang	153 0.5×	175 0.6×	166 0.6×	161 0.9×	217 1.6×	57	922
Zhongwei Chen	276 0.9×	98 0.4×	270 1.0×	106 0.6×	171 1.2×	62	961
Hossein Ghanaati	248 0.8×	80 0.3×	158 0.6×	137 0.8×	116 0.8×	107	1.1k
Sheng Zhang	231 0.8×	74 0.3×	230 0.9×	263 1.5×	79 0.6×	64	988
Xiangming Fang	142 0.5×	133 0.5×	311 1.2×	124 0.7×	131 1.0×	57	815
Ying Yuan	196 0.7×	116 0.4×	453 1.7×	119 0.7×	39 0.3×	53	982
Pedram Heidari	225 0.8×	157 0.6×	311 1.2×	262 1.5×	81 0.6×	75	1.1k
Han Cheol Lee	420 1.4×	74 0.3×	176 0.7×	308 1.8×	52 0.4×	101	1.1k
Ji Hye Lee	270 0.9×	112 0.4×	300 1.1×	53 0.3×	58 0.4×	38	812

Countries citing papers authored by Yulan Peng

Since Specialization

Citations

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

Fields of papers citing papers by Yulan Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan Peng

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