Pei Nie

66 total papers · 1.3k total citations
56 papers, 834 citations indexed

About

Pei Nie is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Pei Nie has authored 56 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 33 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Biomedical Engineering. Recurrent topics in Pei Nie's work include Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (15 papers) and Renal cell carcinoma treatment (11 papers). Pei Nie is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (26 papers), Advanced X-ray and CT Imaging (15 papers) and Renal cell carcinoma treatment (11 papers). Pei Nie collaborates with scholars based in China, United States and South Korea. Pei Nie's co-authors include Guangjie Yang, Ximing Wang, Jingjing Cui, Dapeng Hao, Zhenguang Wang, Lei Yan, Xiaopeng Ji, Zhaoping Cheng, Wenjie Miao and Yanhua Duan and has published in prestigious journals such as PLoS ONE, Annals of Oncology and International Journal of Cancer.

In The Last Decade

Pei Nie

54 papers receiving 817 citations

Author Peers

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

Author						Papers	Cites
Pei Nie	543	401	185	137	101	56	834
Dominik Nörenberg	634 1.2×	279 0.7×	255 1.4×	136 1.0×	205 2.0×	64	985
Franziska Walter	448 0.8×	473 1.2×	81 0.4×	146 1.1×	86 0.9×	47	946
Giuseppe Salvaggio	367 0.7×	272 0.7×	148 0.8×	194 1.4×	55 0.5×	57	784
Michela Gabelloni	635 1.2×	243 0.6×	210 1.1×	186 1.4×	177 1.8×	42	919
Rupan Sanyal	286 0.5×	196 0.5×	125 0.7×	353 2.6×	119 1.2×	46	808
Eugenio Inglese	635 1.2×	225 0.6×	160 0.9×	191 1.4×	127 1.3×	52	997
Wenjie Liang	440 0.8×	300 0.7×	79 0.4×	277 2.0×	279 2.8×	60	881
Jan Baxa	440 0.8×	261 0.7×	322 1.7×	160 1.2×	59 0.6×	83	878
Cristina Gámez‐Cenzano	475 0.9×	310 0.8×	87 0.5×	119 0.9×	192 1.9×	53	965
Munir Ghesani	343 0.6×	241 0.6×	127 0.7×	126 0.9×	265 2.6×	55	856

Countries citing papers authored by Pei Nie

Since Specialization

Citations

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

Fields of papers citing papers by Pei Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Nie

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