Qiu Guan

1.5k total citations · 1 hit paper
75 papers, 860 citations indexed

About

Qiu Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qiu Guan has authored 75 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qiu Guan's work include Medical Image Segmentation Techniques (15 papers), Advanced Neural Network Applications (10 papers) and AI in cancer detection (9 papers). Qiu Guan is often cited by papers focused on Medical Image Segmentation Techniques (15 papers), Advanced Neural Network Applications (10 papers) and AI in cancer detection (9 papers). Qiu Guan collaborates with scholars based in China, Hong Kong and United Kingdom. Qiu Guan's co-authors include Haigen Hu, Shengyong Chen, Qianwei Zhou, Yizhou Chen, Xu-Hua Yang, Zihan Wei, Ali Asghar Heidari, Huiling Chen, Zhicheng Li and Nenggan Zheng and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Neuroscience.

In The Last Decade

Qiu Guan

66 papers receiving 848 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.

Generative Adversarial Networks in Medical Image augmentation: A review

2022 251 citations Yizhou Chen, Xu-Hua Yang et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qiu Guan China	14	388	322	228	92	79	75	860
Xiangbin Liu China	13	357 0.9×	293 0.9×	277 1.2×	103 1.1×	51 0.6×	63	998
Zhe Liu China	17	523 1.3×	342 1.1×	367 1.6×	124 1.3×	90 1.1×	66	1.0k
Haigen Hu China	18	283 0.7×	342 1.1×	234 1.0×	84 0.9×	46 0.6×	61	1.1k
Isao Horiba Japan	13	470 1.2×	226 0.7×	296 1.3×	129 1.4×	92 1.2×	43	922
Junding Sun China	18	612 1.6×	462 1.4×	320 1.4×	143 1.6×	146 1.8×	90	1.5k
Wei Xiong Singapore	15	426 1.1×	150 0.5×	168 0.7×	74 0.8×	77 1.0×	94	911
Mingfeng Jiang China	17	324 0.8×	248 0.8×	299 1.3×	156 1.7×	62 0.8×	136	1.1k
Qianwei Zhou China	17	294 0.8×	385 1.2×	264 1.2×	122 1.3×	50 0.6×	62	1.1k
Yuqian Zhao China	20	664 1.7×	264 0.8×	296 1.3×	162 1.8×	161 2.0×	99	1.2k
Yuqing Song China	21	597 1.5×	358 1.1×	279 1.2×	119 1.3×	80 1.0×	138	1.3k

Countries citing papers authored by Qiu Guan

Since Specialization

Citations

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

Fields of papers citing papers by Qiu Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiu Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Qiu Guan. A scholar is included among the top collaborators of Qiu Guan 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 Qiu Guan. Qiu Guan 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

1.

Jiang, Weiwei, et al.. (2025). CycleH-CUT: an unsupervised medical image translation method based on cycle consistency and hybrid contrastive learning. Physics in Medicine and Biology. 70(5). 55014–55014.

2.

Hu, Haigen, et al.. (2024). HDConv: Heterogeneous kernel-based dilated convolutions. Neural Networks. 179. 106568–106568. 4 indexed citations

3.

Hu, Haigen, et al.. (2024). A comprehensive survey on contrastive learning. Neurocomputing. 610. 128645–128645. 41 indexed citations

4.

Guan, Qiu, et al.. (2024). IAFI-FCOS: Intra- and across-layer feature interaction FCOS model for lesion detection of CT images. 1–8. 1 indexed citations

5.

Zhou, Qianwei, et al.. (2023). Non-binary IoU and progressive coupling and refining network for salient object detection. Expert Systems with Applications. 230. 120370–120370. 5 indexed citations

6.

Chan, Sixian, et al.. (2023). Parameter sharing and multi-granularity feature learning for cross-modality person re-identification. Complex & Intelligent Systems. 10(1). 949–962. 2 indexed citations

7.

Wang, Wanliang, et al.. (2023). Wavelet Dual-Stream Network for Brain MR Image Super-Resolution. 1–9. 1 indexed citations

8.

Xu, Xinli, Chengze Wang, Ruihao Chen, et al.. (2023). Iterative learning for maxillary sinus segmentation based on bounding box annotations. Multimedia Tools and Applications. 83(11). 33263–33293. 3 indexed citations

9.

Chen, Yizhou, Xu-Hua Yang, Zihan Wei, et al.. (2022). Generative Adversarial Networks in Medical Image augmentation: A review. Computers in Biology and Medicine. 144. 105382–105382. 251 indexed citations breakdown →

10.

Jin, Zhichao, Haigen Hu, Qianwei Zhou, et al.. (2022). Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1580–1585. 2 indexed citations

11.

Hu, Haigen, et al.. (2021). An adaptive learning method of anchor shape priors for biological cells detection and segmentation. Computer Methods and Programs in Biomedicine. 208. 106260–106260. 11 indexed citations

12.

Yang, Rong, Yizhou Chen, Kangjie Li, et al.. (2021). CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network. Abdominal Radiology. 47(1). 232–241. 17 indexed citations

13.

Jiang, Weiwei, Xin-Xin Zhong, Guangquan Zhou, et al.. (2019). An automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosis. Mathematical Biosciences & Engineering. 17(1). 776–788. 4 indexed citations

14.

Liu, Yewei, Qiu Guan, Xiangyong Kong, et al.. (2019). Predicting Therapeutic Efficacy of Vascular Disrupting Agent CA4P in Rats with Liver Tumors by Hepatobiliary Contrast Agent Mn-DPDP-Enhanced MRI. Translational Oncology. 13(1). 92–101. 8 indexed citations

15.

Zhang, Jianhua, Lei Chen, Xiaoyan Wang, et al.. (2014). Compounding Local Invariant Features and Global Deformable Geometry for Medical Image Registration. PLoS ONE. 9(8). e105815–e105815. 4 indexed citations

16.

Guan, Qiu, et al.. (2014). Three-Dimensional Simulation of Scalp Soft Tissue Expansion Using Finite Element Method. Computational and Mathematical Methods in Medicine. 2014. 1–9. 8 indexed citations

17.

Chen, Shengyong, Jianhua Zhang, Houxiang Zhang, et al.. (2010). Myocardial Motion Analysis for Determination of Tei-Index of Human Heart. Sensors. 10(12). 11428–11439. 11 indexed citations

18.

Guan, Qiu, Jianhua Zhang, Shengyong Chen, & Andrew Todd‐Pokropek. (2008). Automatic Segmentation of Micro-calcification Based on SIFT in Mammograms. 13–17. 8 indexed citations

19.

Guan, Qiu, et al.. (2006). A Soft-sensing Technique for Wastewater Treatment Based on BP and RBF Neural Networks. 1. 121–123. 1 indexed citations

20.

Guan, Qiu. (2003). Advance in Research on Dose-dependent Mechanism of Rare Earths on Organism. Chinese Rare Earths. 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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