Qunhui Chen

591 total citations
20 papers, 430 citations indexed

About

Qunhui Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Qunhui Chen has authored 20 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biomedical Engineering. Recurrent topics in Qunhui Chen's work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Treatments and Mutations (5 papers). Qunhui Chen is often cited by papers focused on Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Lung Cancer Treatments and Mutations (5 papers). Qunhui Chen collaborates with scholars based in China, United States and Germany. Qunhui Chen's co-authors include Jianding Ye, Baohui Han, Wenjia Yang, Fangfei Qian, Hongxiang Ou, Yunlei Zhang, Jianming Pan, Xueyong Qi, Yong Huang and Wentao Fang and has published in prestigious journals such as Journal of Hazardous Materials, BMC Cancer and Journal of Thoracic Oncology.

In The Last Decade

Qunhui Chen

18 papers receiving 423 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qunhui Chen China 10 255 205 55 46 40 20 430
Fabio Bottari Belgium 14 102 0.4× 241 1.2× 233 4.2× 45 1.0× 30 0.8× 16 702
Manuel Escobar Spain 12 88 0.3× 153 0.7× 61 1.1× 42 0.9× 21 0.5× 30 496
Tim E. Phelps United States 10 115 0.5× 126 0.6× 16 0.3× 62 1.3× 37 0.9× 24 355
Xinyue Yang China 15 29 0.1× 134 0.7× 45 0.8× 117 2.5× 91 2.3× 44 528
Shaobo Duan China 16 106 0.4× 193 0.9× 113 2.1× 65 1.4× 7 0.2× 46 613
Ann Fioritto United States 6 167 0.7× 28 0.1× 13 0.2× 201 4.4× 29 0.7× 10 322
Yi‐Chang Chen Taiwan 13 176 0.7× 115 0.6× 36 0.7× 21 0.5× 117 2.9× 44 484
Milad Baradaran‐Ghahfarokhi Iran 12 100 0.4× 84 0.4× 70 1.3× 15 0.3× 66 1.6× 44 381
João Emílio Peixoto Brazil 12 60 0.2× 54 0.3× 50 0.9× 169 3.7× 126 3.1× 40 434

Countries citing papers authored by Qunhui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qunhui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qunhui Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qunhui Chen. A scholar is included among the top collaborators of Qunhui Chen 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 Qunhui Chen. Qunhui Chen 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
1.
Liu, Jing, Kai Nie, Qunhui Chen, et al.. (2025). Added value of abdominal CT after treatment of lung cancer. Quantitative Imaging in Medicine and Surgery. 15(8). 6787–6800.
2.
Zhu, Huiyuan, Guangyu Tao, Yifeng Jiang, et al.. (2024). Automatic detection of pulmonary embolism on computed tomography pulmonary angiogram scan using a three-dimensional convolutional neural network. European Journal of Radiology. 177. 111586–111586. 4 indexed citations
3.
4.
Zhu, Huiyuan, Lian Zhang, Jing Chen, et al.. (2023). Lung adenocarcinoma associated with cystic airspaces: Predictive value of CT features in assessing pathologic invasiveness. European Journal of Radiology. 165. 110947–110947. 6 indexed citations
5.
Tao, Guangyu, Qunhui Chen, Yamin Li, et al.. (2022). Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study. Translational Lung Cancer Research. 11(2). 250–262. 17 indexed citations
6.
Cheng, Yuan, Cheng Zhang, Shunjun Fu, et al.. (2021). Co-amplification of genes in chromosome 8q24: a robust prognostic marker in hepatocellular carcinoma. Journal of Gastrointestinal Oncology. 12(3). 1086–1100. 3 indexed citations
7.
8.
Sun, Yifeng, Yuan Liu, Baohui Han, et al.. (2019). Development and validation of a predictive model for the diagnosis of solid solitary pulmonary nodules using data mining methods. Journal of Thoracic Disease. 11(3). 950–958. 13 indexed citations
9.
Wang, Lei, et al.. (2018). A primary study of intraoperative ultrasound location of pulmonary ground-glass opacities in video-assisted thoracic surgery. Zhonghua chaosheng yingxiangxue zazhi. 27(4). 293–296. 2 indexed citations
10.
Qian, Fangfei, Wenjia Yang, Qunhui Chen, Xueyan Zhang, & Baohui Han. (2018). Screening for early stage lung cancer and its correlation with lung nodule detection. Journal of Thoracic Disease. 10(S7). S846–S859. 20 indexed citations
11.
Mei, Xueyan, Rui Wang, Wenjia Yang, et al.. (2018). Predicting malignancy of pulmonary ground-glass nodules and their invasiveness by random forest. Journal of Thoracic Disease. 10(1). 458–463. 26 indexed citations
12.
Yang, Wenjia, Fangfei Qian, Jiajun Teng, et al.. (2018). Community-based lung cancer screening with low-dose CT in China: Results of the baseline screening. Lung Cancer. 117. 20–26. 96 indexed citations
13.
Wang, Huimin, Yanwei Zhang, Jiajun Teng, et al.. (2017). P1.03-062 Lung Cancer Screening with Low-Dose CT in China: Study Design and Baseline Results from the First Round Screening Arm. Journal of Thoracic Oncology. 12(1). S581–S582. 2 indexed citations
14.
Yang, Wenjia, Yifeng Sun, Wentao Fang, et al.. (2017). High-resolution Computed Tomography Features Distinguishing Benign and Malignant Lesions Manifesting as Persistent Solitary Subsolid Nodules. Clinical Lung Cancer. 19(1). e75–e83. 43 indexed citations
15.
Ou, Hongxiang, Qunhui Chen, Guanghao Chen, et al.. (2017). Characterization and Performance of Hollow Silica for Adsorption of Amoxicillin in Aqueous Solutions. Water Environment Research. 89(4). 348–356. 8 indexed citations
16.
Sun, Yifeng, Wen Gao, Qunhui Chen, et al.. (2016). [Establishment of a predicting model to evaluate the probability of malignancy or benign in patients with solid solitary pulmonary nodules].. PubMed. 96(17). 1354–8. 9 indexed citations
17.
Ou, Hongxiang, Qunhui Chen, Jianming Pan, et al.. (2015). Selective removal of erythromycin by magnetic imprinted polymers synthesized from chitosan-stabilized Pickering emulsion. Journal of Hazardous Materials. 289. 28–37. 90 indexed citations
18.
Fang, Wentao, et al.. (2014). The IASLC/ATS/ERS classification of lung adenocarcinoma-a surgical point of view.. PubMed. 6(Suppl 5). S552–60. 19 indexed citations
19.
Jiang, Yifeng, et al.. (2010). Image noise and artifact in chest low-dose CT. Zhonghua fangshexian yixue zazhi. 44(1). 37–40. 1 indexed citations
20.
Qu, Xinkai, et al.. (2008). [Values in preoperative assessment of occlusion and intra-operative guidance of 64 row spiral CT in percutaneous coronary intervention for chronic coronary occlusion].. PubMed. 88(46). 3268–71. 2 indexed citations

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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