Jian Q. Yu

94 total papers · 2.8k total citations
62 papers, 1.6k citations indexed

About

Jian Q. Yu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jian Q. Yu has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 26 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Surgery. Recurrent topics in Jian Q. Yu's work include Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jian Q. Yu is often cited by papers focused on Medical Imaging Techniques and Applications (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Jian Q. Yu collaborates with scholars based in United States, China and New Zealand. Jian Q. Yu's co-authors include Abass Alavi, Hongming Zhuang, Yan Xiu, Rakesh Kumar, Amol Takalkar, Justin W. Kung, Thiruvenkatasamy Dhurairaj, Scott Potenta, Mohan Doss and Tianyu Li and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Jian Q. Yu

58 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Jian Q. Yu 722 642 466 384 228 62 1.6k
Myriam Wartski 569 0.8× 443 0.7× 329 0.7× 343 0.9× 152 0.7× 41 1.4k
Marie Lundell 684 0.9× 389 0.6× 296 0.6× 297 0.8× 121 0.5× 49 1.6k
Zvi Symon 361 0.5× 698 1.1× 373 0.8× 437 1.1× 123 0.5× 106 1.7k
A Pecking 841 1.2× 635 1.0× 460 1.0× 909 2.4× 230 1.0× 63 2.2k
Jean‐Louis Alberini 799 1.1× 496 0.8× 466 1.0× 569 1.5× 404 1.8× 63 1.9k
Rodolfo Núñez 527 0.7× 670 1.0× 356 0.8× 499 1.3× 167 0.7× 40 1.6k
Christiane Franzius 820 1.1× 1.1k 1.7× 594 1.3× 298 0.8× 139 0.6× 59 2.2k
Raghunandan Vikram 405 0.6× 848 1.3× 656 1.4× 219 0.6× 145 0.6× 60 1.8k
Klaus R. Trott 865 1.2× 612 1.0× 164 0.4× 446 1.2× 330 1.4× 47 1.8k
Satoshi Yamada 633 0.9× 508 0.8× 352 0.8× 230 0.6× 178 0.8× 37 1.3k

Countries citing papers authored by Jian Q. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Q. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian Q. Yu. 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 Jian Q. Yu. The network helps show where Jian Q. Yu may publish in the future.

Co-authorship network of co-authors of Jian Q. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Q. Yu. A scholar is included among the top collaborators of Jian Q. Yu 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 Jian Q. Yu. Jian Q. Yu 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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