Fang Qu

466 total citations
20 papers, 322 citations indexed

About

Fang Qu is a scholar working on Pulmonary and Respiratory Medicine, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fang Qu has authored 20 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Mechanics of Materials and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fang Qu's work include Lung Cancer Diagnosis and Treatment (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fang Qu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Fang Qu collaborates with scholars based in China and Netherlands. Fang Qu's co-authors include Kun Yang, Li Zhu, Fang Zhang, Wenjun Ding, Chi-Cheng Fu, Yan Jin, Lei Lv, Ziling Huang, Jin‐Ming Lin and Lixia Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Frontiers in Plant Science.

In The Last Decade

Fang Qu

19 papers receiving 318 citations

Peers

Fang Qu
Comparison fields: 5 of 83
  • Materials Chemistry 125
  • Health, Toxicology and Mutagenesis 68
  • Mechanical Engineering 52
  • Electrical and Electronic Engineering 50
  • Water Science and Technology 48
Replace Mitra Bahri with:
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Xuan Huang China
Meera Sidheswaran United States
Simone Pollastri Italy
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Xinyan Li China
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Mitra Bahri Canada View profile →
Citations per field, relative to Fang Qu
Fang Qu · 1×
Citations per year, relative to Fang Qu
Fang Qu · 1×

Countries citing papers authored by Fang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Qu. A scholar is included among the top collaborators of Fang 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 Fang Qu. Fang 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
# Work Indexed citations
1 0
2 1
3 1
4 3
5 1
6
Group-Based Trajectory Modeling to Identify Factors Influencing the Development of Myopia in Patients Receiving Orthokeratology
2
7 18
8 2
9 9
10 5
11 13
12 6
13 1
14 2
15 6
16 1
17 1
18 71
19 170
20 9

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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