Jinrong Qu

7.3k citations
95 papers · 1.8k indexed · 2 hit papers · h-index 20
Topics
Radiomics and Machine Learning in Medical Imaging (47 papers)MRI in cancer diagnosis (32 papers)Esophageal Cancer Research and Treatment (23 papers)
Journals
CellSHILAP Revista de lepidopterologíaBlood

In The Last Decade

Jinrong Qu

83 papers receiving 1.8k citations

Hit Papers

Radiomics of Multiparametric MRI for Pretreatment Predict...201920262021202320192023100200300

Peers

Jinrong Qu
Comparison fields: 5 of 115
  • Radiology, Nuclear Medicine and Imaging 994
  • Oncology 392
  • Pulmonary and Respiratory Medicine 390
  • Surgery 332
  • Molecular Biology 226
Replace Xiaochun Meng with:
Xiaochun Meng China
Fuquan Zhang China
Hubing Wu China
Bojiang Chen China
Christian A. Kunder United States
Yvonne M. Saenger United States
Arvydas Laurinavičius Lithuania
Wen‐Yu Chuang Taiwan
Michael Allgäuer Germany
Jinrong Qu relative to Xiaochun Meng China Xiaochun Meng's profile →
Citations per field
00.5×3.4×
Xiaochun Meng · 1×
Citations per year

Countries citing papers authored by Jinrong Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jinrong Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinrong Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinrong Qu. A scholar is included among the top collaborators of Jinrong Qu 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 Jinrong Qu. Jinrong Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 0
4 4
5 0
6 2
7 7
8 4
9 11
10 2
11 11
12 24
13 0
14
Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Studybreakdown →
354
15 3
16 63
17 15
18 1
19 7
20 1

About Jinrong Qu

Jinrong Qu is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (47 papers), MRI in cancer diagnosis (32 papers) and Esophageal Cancer Research and Treatment (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (994 citations), Oncology (392 citations) and Health Informatics (16 citations). Jinrong Qu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hailiang Li, Zaiyi Liu, Justyna Cholewa-Waclaw, Anura Rambukkana, Toshihiro Masaki, Zhenyu Liu, Zhenchao Tang, Karen Burr, Ryan L. Raaum and Zhaoqi Wang. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and Blood.

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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