Qi Dou

28.1k total citations · 13 hit papers
174 papers, 10.5k citations indexed

About

Qi Dou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qi Dou has authored 174 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Vision and Pattern Recognition, 48 papers in Artificial Intelligence and 48 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qi Dou's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Advanced Neural Network Applications (28 papers) and Surgical Simulation and Training (22 papers). Qi Dou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Advanced Neural Network Applications (28 papers) and Surgical Simulation and Training (22 papers). Qi Dou collaborates with scholars based in Hong Kong, China and United States. Qi Dou's co-authors include Pheng‐Ann Heng, Hao Chen, Jing Qin, Lequan Yu, Xiaojuan Qi, Chi‐Wing Fu, Xiaomeng Li, Cheng Chen, Yueming Jin and Quande Liu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Qi Dou

164 papers receiving 10.3k citations

Hit Papers

H-DenseUNet: Hybrid Dense... 2016 2026 2019 2022 2018 2016 2017 2016 2016 500 1000 1.5k
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.

  1. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
    2018 1.7k citations Hao Chen, Qi Dou et al. IEEE Transactions on Medical Imaging profile →
  2. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
    2016 775 citations Hao Chen, Qi Dou et al. IEEE Transactions on Medical Imaging profile →
  3. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
    2017 506 citations Hao Chen, Qi Dou et al. profile →
  4. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
    2016 471 citations Qi Dou, Hao Chen et al. IEEE Transactions on Medical Imaging profile →
  5. Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
    2016 423 citations Qi Dou, Hao Chen et al. profile →
  6. 3D deeply supervised network for automated segmentation of volumetric medical images
    2017 418 citations Qi Dou, Hao Chen et al. profile →
  7. DCAN: Deep contour-aware networks for object instance segmentation from histology images
    2016 351 citations Hao Chen, Qi Dou et al. profile →
  8. FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
    2021 292 citations Cheng Chen, Jing Qin et al. profile →
  9. Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
    2020 261 citations Cheng Chen, Qi Dou et al. IEEE Transactions on Medical Imaging profile →
  10. Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
    2019 237 citations Qi Dou, Pheng‐Ann Heng et al. profile →
  11. Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning
    2022 165 citations Qi Dou et al. profile →
  12. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
    2022 141 citations Qi Dou et al. profile →
  13. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
    2022 120 citations Qi Dou et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qi Dou 4.5k 4.4k 4.4k 1.9k 1.2k 174 10.5k
Jing Qin 4.1k 0.9× 4.5k 1.0× 5.2k 1.2× 2.1k 1.1× 1.4k 1.2× 527 15.6k
Francesco Ciompi 6.6k 1.5× 5.7k 1.3× 3.4k 0.8× 1.8k 0.9× 1.2k 1.0× 103 12.6k
Babak Ehteshami Bejnordi 4.7k 1.1× 4.8k 1.1× 3.0k 0.7× 1.4k 0.7× 736 0.6× 23 9.6k
Jianhua Yao 4.5k 1.0× 3.3k 0.8× 2.6k 0.6× 2.1k 1.1× 1.2k 1.0× 377 12.7k
Arnaud A. A. Setio 5.4k 1.2× 4.4k 1.0× 2.9k 0.7× 1.5k 0.8× 611 0.5× 20 10.3k
Mohsen Ghafoorian 4.4k 1.0× 3.9k 0.9× 2.6k 0.6× 1.4k 0.8× 563 0.5× 27 9.3k
Thijs Kooi 4.6k 1.0× 4.4k 1.0× 2.6k 0.6× 1.4k 0.7× 602 0.5× 10 9.2k
Clara I. Sá‎nchez 8.3k 1.8× 5.6k 1.3× 3.9k 0.9× 1.9k 1.0× 766 0.6× 108 14.3k
Le Lü 4.0k 0.9× 3.3k 0.8× 3.0k 0.7× 1.5k 0.8× 628 0.5× 188 9.8k
Jianming Liang 4.9k 1.1× 4.3k 1.0× 5.5k 1.2× 1.5k 0.8× 1.3k 1.1× 89 12.8k

Countries citing papers authored by Qi Dou

Since Specialization
Citations

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

Fields of papers citing papers by Qi Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Dou. A scholar is included among the top collaborators of Qi Dou 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 Qi Dou. Qi Dou 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.
Dou, Qi, Haobin Chen, Chang Chen, et al.. (2025). Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery. npj Digital Medicine. 8(1). 9–9. 6 indexed citations
2.
Zhong, Claire Chenwen, Junjie Huang, Zhao Yang, et al.. (2025). Machine Learning–Predictive Models for Survival in Uterine Cancer Patients With Type 2 Diabetes: A Territory‐Wide Cohort Study. Journal of obstetrics and gynaecology research. 51(10). e70087–e70087. 1 indexed citations
3.
Dou, Qi, et al.. (2025). Learning linearized models from nonlinear systems under initialization constraints with finite data. Automatica. 180. 112478–112478. 1 indexed citations
4.
Yip, Hon Chi, Jianfeng Cao, Qi Dou, et al.. (2025). Feasibility of real-time artificial intelligence-assisted anatomical structure recognition during endoscopic submucosal dissection. Endoscopy International Open. 13(CP). a26158008–a26158008.
5.
Lu, Haojian, et al.. (2025). Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation. Advanced Intelligent Systems. 7(12).
6.
Wang, Jiahao, Qi Dou, Zelong Han, et al.. (2024). Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework. Gastroenterology. 167(3). 591–603.e9. 5 indexed citations
7.
Zhong, Fangxun, et al.. (2024). Scale-aware monocular reconstruction via robot kinematics and visual data in neural radiance fields. CityU Scholars. 4(3). 187–98. 2 indexed citations
8.
Lin, Xingyu, et al.. (2024). Any-point Trajectory Modeling for Policy Learning. 19 indexed citations
9.
10.
11.
Huang, Yanqi, Guoqiang Han, Zhenwei Shi, et al.. (2024). FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. IEEE Transactions on Cybernetics. 54(12). 7851–7864. 6 indexed citations
12.
13.
Li, Bin, Wei Chen, Junyan Yan, et al.. (2024). Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement. 9866–9872. 1 indexed citations
14.
Guo, Jiaxin, et al.. (2024). Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-template Matching. 15463–15470. 1 indexed citations
15.
Chen, Yang, et al.. (2024). Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane. IEEE Transactions on Medical Imaging. 43(9). 3211–3223. 8 indexed citations
16.
Lyu, Jun, Bin Sui, Chengyan Wang, Qi Dou, & Jing Qin. (2023). Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Systems with Applications. 232. 120836–120836. 13 indexed citations
17.
Lyu, Jun, Guangyuan Li, Chengyan Wang, et al.. (2023). Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12004–12014. 18 indexed citations
18.
Li, Xianzhi, Rui Cao, Yidan Feng, et al.. (2022). A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking. IEEE Robotics and Automation Letters. 7(2). 3961–3968. 34 indexed citations
19.
Xue, Cheng, Qi Dou, Xueying Shi, Hao Chen, & Pheng‐Ann Heng. (2019). Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1280–1283. 66 indexed citations
20.
Zhou, Juan, Luyang Luo, Qi Dou, et al.. (2019). Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images. Journal of Magnetic Resonance Imaging. 50(4). 1144–1151. 118 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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Breakdown of academic impact, for papers by Jing Qin Breakdown of academic impact, for papers by Francesco Ciompi Breakdown of academic impact, for papers by Babak Ehteshami Bejnordi Breakdown of academic impact, for papers by Jianhua Yao Breakdown of academic impact, for papers by Arnaud A. A. Setio Breakdown of academic impact, for papers by Mohsen Ghafoorian Breakdown of academic impact, for papers by Thijs Kooi Breakdown of academic impact, for papers by Clara I. Sá‎nchez Breakdown of academic impact, for papers by Le Lü Breakdown of academic impact, for papers by Jianming Liang
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