Chen Qin

3.6k total citations · 1 hit paper
82 papers, 1.5k citations indexed

About

Chen Qin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Chen Qin has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 26 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Artificial Intelligence. Recurrent topics in Chen Qin's work include Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Chen Qin is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Medical Image Segmentation Techniques (9 papers) and Image Retrieval and Classification Techniques (8 papers). Chen Qin collaborates with scholars based in China, United Kingdom and United States. Chen Qin's co-authors include Daniel Rueckert, Jo Schlemper, Joseph V. Hajnal, Anthony N. Price, José Caballero, Guowu Yang, Lixin Duan, Ricardo Guerrero, Christopher Bowles and David Alexander Dickie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Magnetic Resonance in Medicine.

In The Last Decade

Chen Qin

73 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

2018 382 citations Chen Qin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen Qin China	18	799	404	355	187	158	82	1.5k
Ruogu Fang United States	18	662 0.8×	273 0.7×	590 1.7×	181 1.0×	129 0.8×	71	1.6k
Jian Zheng China	24	842 1.1×	383 0.9×	621 1.7×	366 2.0×	93 0.6×	137	1.9k
Piotr A. Habas United States	17	513 0.6×	577 1.4×	460 1.3×	74 0.4×	108 0.7×	38	2.0k
Lei Xiang China	14	829 1.0×	504 1.2×	519 1.5×	313 1.7×	105 0.7×	32	1.5k
Tolga Çukur Türkiye	24	1.0k 1.3×	362 0.9×	540 1.5×	359 1.9×	111 0.7×	105	2.1k
Yasser M. Kadah Egypt	22	707 0.9×	474 1.2×	627 1.8×	283 1.5×	154 1.0×	160	2.1k
Xiao Da United States	19	558 0.7×	466 1.2×	259 0.7×	123 0.7×	185 1.2×	51	1.7k
Diana M. Sima Belgium	22	762 1.0×	93 0.2×	292 0.8×	131 0.7×	235 1.5×	106	1.7k
Vasileios Megalooikonomou Greece	25	299 0.4×	531 1.3×	485 1.4×	141 0.8×	125 0.8×	136	1.9k
João Sanches Portugal	24	568 0.7×	278 0.7×	455 1.3×	235 1.3×	78 0.5×	111	1.9k

Countries citing papers authored by Chen Qin

Since Specialization

Citations

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

Fields of papers citing papers by Chen Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Qin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Ya‐Fei, Yang Liu, Liang Chen, et al.. (2025). Synthesis and Characterization of a Colorless Polyimide Membrane With a Low Dielectric Constant. Journal of Polymer Science. 63(9). 2102–2112.

Qin, Chen, et al.. (2025). Associations between the red blood cell distribution width-to-albumin ratio and 3-month outcomes in patients with acute minor ischemic stroke: A cohort study. PLoS ONE. 20(7). e0329211–e0329211.

Qin, Chen, Wenwen Zhang, & Wenzhi Wu. (2025). VIS/NIR/FIR spectroscopy for blood glucose monitoring: A review. AIP Advances. 15(3). 2 indexed citations

Mascarenhas, S., et al.. (2025). Advancing personalised care in ovarian cancer using CT and MRI radiomics. Clinical Radiology. 84. 106833–106833. 1 indexed citations

Yang, Yue, Kaixian Yu, Shan Gao, et al.. (2025). Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. Computers in Biology and Medicine. 192(Pt A). 110285–110285. 1 indexed citations

Xie, Chunhui, Yang You, Chen Qin, et al.. (2025). A big data approach to explore core properties of waterborne polyurethane coatings. Progress in Organic Coatings. 211. 109739–109739.

Li, Yue, Shiyuan Hua, Chen Qin, et al.. (2024). Metal-based nanoparticles promote the activation of cGAS-STING pathway for enhanced cancer immunotherapy. Nano Today. 58. 102445–102445. 7 indexed citations

Liao, S., et al.. (2024). Why not work with anthropomorphic collaborative robots? The mediation effect of perceived intelligence and the moderation effect of self‐efficacy. Human Factors and Ergonomics in Manufacturing & Service Industries. 34(3). 241–260. 6 indexed citations

Piper, Ian, et al.. (2024). VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series. Computers in Biology and Medicine. 186. 109610–109610.

10.

Zhang, Yifan, Hanyue Xu, Yilin Liu, et al.. (2024). Association of outer retinal and choroidal alterations with neuroimaging and clinical features in posterior cortical atrophy. Alzheimer s Research & Therapy. 16(1). 187–187. 4 indexed citations

11.

Liao, S., et al.. (2023). Research on the acceptance of collaborative robots for the industry 5.0 era -- The mediating effect of perceived competence and the moderating effect of robot use self-efficacy. International Journal of Industrial Ergonomics. 95. 103455–103455. 39 indexed citations

12.

Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Analysis. 85. 102760–102760. 27 indexed citations

13.

Shi, Yukun, Chen Qin, Huiqing Xu, et al.. (2023). An image dataset of fusulinid foraminifera generated with the aid of deep learning. Geoscience Data Journal. 11(1). 46–56. 3 indexed citations

14.

Qin, Chen, Qinbo Yang, Kai Liu, et al.. (2023). Clinical characteristics, outcomes and risk factors for mortality in hospitalized diabetes and chronic kidney disease patients after COVID-19 infection following widespread vaccination. Journal of Endocrinological Investigation. 47(3). 619–631. 1 indexed citations

15.

Qin, Chen, et al.. (2022). The Effect of Status of Robots That Make Mistakes on Desire for Contact and Support for Robotics Initiative. 10. 259–265. 1 indexed citations

16.

Zhao, Chenyang, Mengsu Xiao, Li Ma, et al.. (2022). Enhancing Performance of Breast Ultrasound in Opportunistic Screening Women by a Deep Learning-Based System: A Multicenter Prospective Study. Frontiers in Oncology. 12. 804632–804632. 18 indexed citations

17.

Duan, Lixin, et al.. (2019). An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures. BMC Medical Imaging. 19(1). 51–51. 139 indexed citations

18.

Qin, Chen. (2015). Digital Watermark Scheme Based on Parity of Data in Wireless Sensor Network. Electronic Science and Technology. 1 indexed citations

19.

Zhao, Ling, et al.. (2010). Application of Data Mining on Selection and Specificity of Acupoints. Journal of traditional chinese medicine. 51(1). 47–51. 1 indexed citations

20.

Qin, Chen, et al.. (2008). Gastroscope image retrieval based on histogram of neighborhood color moments. Computer Engineering and Applications Journal. 44(11). 205–207. 3 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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