Zhaowen Qiu

905 total citations
39 papers, 517 citations indexed

About

Zhaowen Qiu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zhaowen Qiu has authored 39 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zhaowen Qiu's work include Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Medical Image Segmentation Techniques (4 papers). Zhaowen Qiu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), COVID-19 diagnosis using AI (6 papers) and Medical Image Segmentation Techniques (4 papers). Zhaowen Qiu collaborates with scholars based in China, Saudi Arabia and United Kingdom. Zhaowen Qiu's co-authors include Jinming Duan, Wenqi Lu, Li Bai, Zhenkuan Pan, Xin Gao, Ryan Wen Liu, Wenshu Lin, Juexiao Zhou, Haoyang Li and Jinzhuo Wu and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Zhaowen Qiu

34 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhaowen Qiu China	10	171	164	82	69	57	39	517
Ziming Wang China	9	184 1.1×	180 1.1×	332 4.0×	48 0.7×	30 0.5×	33	622
Shijie Zhang China	12	181 1.1×	109 0.7×	125 1.5×	59 0.9×	26 0.5×	47	480
Yuhao Huang China	13	241 1.4×	136 0.8×	129 1.6×	82 1.2×	35 0.6×	42	576
Jianan Chen China	10	254 1.5×	224 1.4×	138 1.7×	98 1.4×	66 1.2×	32	580
Salman Khan United Arab Emirates	6	244 1.4×	299 1.8×	249 3.0×	131 1.9×	45 0.8×	18	742
Xinyuan Chen China	13	300 1.8×	272 1.7×	108 1.3×	89 1.3×	56 1.0×	52	779
Daniel Kondermann Germany	11	370 2.2×	128 0.8×	61 0.7×	49 0.7×	58 1.0×	24	574
Tao Peng China	15	286 1.7×	135 0.8×	104 1.3×	111 1.6×	27 0.5×	66	537
Ahmed J. Afifi Germany	12	416 2.4×	442 2.7×	124 1.5×	48 0.7×	51 0.9×	26	777
Moein Heidari Iran	6	385 2.3×	337 2.1×	304 3.7×	120 1.7×	36 0.6×	7	855

Countries citing papers authored by Zhaowen Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Zhaowen Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaowen Qiu

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

All Works

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20 of 20 papers shown

Luo, Gongning, Jian Liu, Chao Huang, et al.. (2025). Interference-free causality learning promotes cross-level, fine-grained diagnosis of coronary artery disease in coronary CT angiography. IEEE Transactions on Medical Imaging. PP. 1–1.

Luo, Gongning, Longxi Zhou, Shaodong Cao, et al.. (2025). Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences. Nature Communications. 16(1). 2262–2262. 2 indexed citations

Wang, Jianpeng, Yuan Xiong, Yuan Gao, et al.. (2025). Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning. Computers in Biology and Medicine. 187. 109760–109760. 2 indexed citations

Zhang, Yifeng, et al.. (2025). SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification. Frontiers in Artificial Intelligence. 7. 1467218–1467218. 1 indexed citations

Cheng, Jun, Xi Jia, Zhaowen Qiu, et al.. (2024). Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10060–10075. 2 indexed citations

Qiu, Zhaowen, et al.. (2023). Simulation analysis of aerodynamic thermal effect of infrared seeker window. 44. 11–11. 1 indexed citations

Zhang, Haiyu, Yingtao Zhang, Zhaowen Qiu, et al.. (2023). Short-term effects of air pollution and weather changes on the occurrence of acute aortic dissection in a cold region. Frontiers in Public Health. 11. 3 indexed citations

Dong, Jiawei, Fang Wang, Yuyun Xu, et al.. (2023). Using mixed reality technique combines multimodal imaging signatures to adjuvant glioma photodynamic therapy. Frontiers in Medicine. 10. 1171819–1171819. 4 indexed citations

Xiao, Xin, et al.. (2023). MAE-TransRNet: An improved transformer-ConvNet architecture with masked autoencoder for cardiac MRI registration. Frontiers in Medicine. 10. 1114571–1114571. 2 indexed citations

10.

Jia, Xi, Wei Chen, Siyang Song, et al.. (2023). Fourier-Net: Fast Image Registration with Band-Limited Deformation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1015–1023. 18 indexed citations

11.

Wang, Xi, et al.. (2023). The Application of Mixed Reality to Sentinel Lymph Node Biopsy in Breast Cancer. World Journal of Surgery. 47(8). 1961–1970. 2 indexed citations

12.

Qin, Zheng, et al.. (2022). Study on modified poplar wood powder/polylactic acid high toughness green 3D printing composites. International Journal of Biological Macromolecules. 228. 311–322. 24 indexed citations

13.

Chu, Xiangpeng, Jia‐Tao Zhang, Zhaowen Qiu, et al.. (2021). Watershed analysis of the target pulmonary artery for real-time localization of non-palpable pulmonary nodules. Translational Lung Cancer Research. 10(4). 1711–1719. 8 indexed citations

14.

Li, Haoyang, Juexiao Zhou, Huiyan Sun, et al.. (2020). CaMeRe: A Novel Tool for Inference of Cancer Metabolic Reprogramming. Frontiers in Oncology. 10. 207–207. 9 indexed citations

15.

Shi, Qin, et al.. (2020). Computer-Aided System Application Value for Assessing Hip Development. Frontiers in Physiology. 11. 587161–587161. 5 indexed citations

16.

Qiu, Zhaowen, et al.. (2020). A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films. Frontiers in Molecular Biosciences. 7. 613878–613878. 4 indexed citations

17.

Lin, Wenshu, et al.. (2019). Effects of ultraviolet aging on properties of wood flour–poly(lactic acid) 3D printing filaments. BioResources. 14(4). 8689–8700. 14 indexed citations

18.

Huang, Jiaqi, Hui Chi, Yufu Wang, et al.. (2018). Stromal Cell-Derived Factor 1 Promotes Cell Migration to Enhance Bone Regeneration After Hypoxic Preconditioning. Tissue Engineering Part A. 25(17-18). 1300–1309. 7 indexed citations

19.

Zhao, Guiling, et al.. (2018). Internal Structural Imaging of Cultural Wooden Relics Based on Three-Dimensional Computed Tomography. BioResources. 13(1). 6 indexed citations

20.

Jing, Weipeng, et al.. (2015). Multi‐DAGs Scheduling Integrating with Security and Availability in Cloud Environment. Chinese Journal of Electronics. 24(4). 709–716. 6 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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