Liping Yang

80 total papers · 485 total citations
23 papers, 356 citations indexed

About

Liping Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Liping Yang has authored 23 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in Liping Yang's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Plant Molecular Biology Research (3 papers). Liping Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Plant Molecular Biology Research (3 papers). Liping Yang collaborates with scholars based in China, United States and Canada. Liping Yang's co-authors include Yuan Zhong, Xin Wu, Zhuyuan Wang, Shenfei Zong, Dan Zhu, Yiping Cui, Chunpeng An, Hao Chen, Qi Xie and Yuanyuan Fang and has published in prestigious journals such as ACS Applied Materials & Interfaces, The Plant Journal and International Journal of Molecular Sciences.

In The Last Decade

Liping Yang

19 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Liping Yang	124	74	73	54	52	23	356
Rafael Jurado	113 0.9×	69 0.9×	104 1.4×	24 0.4×	26 0.5×	15	340
Karim Daliri	115 0.9×	85 1.1×	84 1.2×	46 0.9×	13 0.3×	22	357
Shouqiang Li	140 1.1×	72 1.0×	51 0.7×	37 0.7×	19 0.4×	37	349
So Hee Nam	164 1.3×	92 1.2×	68 0.9×	30 0.6×	14 0.3×	23	367
Qiuyi Li	172 1.4×	113 1.5×	63 0.9×	32 0.6×	47 0.9×	15	295
Xueming Li	189 1.5×	113 1.5×	31 0.4×	25 0.5×	33 0.6×	20	376
Alicia Landeira‐Viñuela	132 1.1×	117 1.6×	84 1.2×	100 1.9×	13 0.3×	23	395
Pablo Juanes‐Velasco	133 1.1×	120 1.6×	87 1.2×	103 1.9×	13 0.3×	26	397
Barbara Bortot	128 1.0×	82 1.1×	63 0.9×	41 0.8×	11 0.2×	17	299
Simon Caserman	129 1.0×	39 0.5×	21 0.3×	65 1.2×	24 0.5×	29	343

Countries citing papers authored by Liping Yang

Since Specialization

Citations

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

Fields of papers citing papers by Liping Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Yang

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