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

5 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.

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 →
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 →
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

2017 506 citations Hao Chen, Qi Dou et al. profile →
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 →
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

2016 423 citations Qi Dou, Hao Chen et al. profile →
3D deeply supervised network for automated segmentation of volumetric medical images

2017 418 citations Qi Dou, Hao Chen et al. profile →
DCAN: Deep contour-aware networks for object instance segmentation from histology images

2016 351 citations Hao Chen, Qi Dou et al. profile →
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 →
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 →
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

2019 237 citations Qi Dou, Yueming Jin et al. profile →
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning

2022 165 citations Qi Dou et al. profile →
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

2022 141 citations Qi Dou et al. profile →
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

2022 120 citations Qi Dou et al. profile →

Peers

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

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

20 of 20 papers shown

#	Work	Indexed citations
1	Learning linearized models from nonlinear systems under initialization constraints with finite data 2025 ·Automatica ·(unknown), (unknown), Qi Dou, George T.‐C. Chiu, Shreyas Sundaram	1
2	Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery 2025 ·npj Digital Medicine ·(unknown), (unknown), (unknown), Qi Dou, Haobin Chen, Chang Chen, Yuqing Qiu, Jinglin Zhang, (unknown), Yanfeng Hu, Haijun Deng, (unknown), Guoxin Li	6
3	Machine Learning–Predictive Models for Survival in Uterine Cancer Patients With Type 2 Diabetes: A Territory‐Wide Cohort Study 2025 ·Journal of obstetrics and gynaecology research ·Claire Chenwen Zhong, Junjie Huang, Zhao Yang, Zhaojun Li, Jiang Yu, Jinqiu Yuan, Xiaodan Huang, Xiaofang Liu, Queran Lin, Hongyang Wang, (unknown), Qi Dou, Irene Xin Yin Wu, Martin C. S. Wong	1
4	Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation 2025 ·Advanced Intelligent Systems ·(unknown), (unknown), Haojian Lu, Jian Hu, Qi Dou, Rong Xiong, Yue Wang	0
5	Rapid Endoscopic Diagnosis of Benign Ulcerative Colorectal Diseases With an Artificial Intelligence Contextual Framework 2024 ·Gastroenterology ·(unknown), Jiahao Wang, (unknown), Qi Dou, Zelong Han, Zhenjiang Wang, Farah Tasnim, Xiyu Wang, Qiang Zhan, Xiang Li, Qunyan Zhou, (unknown), (unknown), Hon Chi Yip, (unknown), Robby T. Tan, Side Liu, Hanry Yu	5
6	Scale-aware monocular reconstruction via robot kinematics and visual data in neural radiance fields 2024 ·CityU Scholars ·(unknown), (unknown), (unknown), Fangxun Zhong, Yunhui Liu, Dong Sun, Qi Dou	2
7	Any-point Trajectory Modeling for Policy Learning 2024 ·(unknown), Xingyu Lin, (unknown), Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel	19
8	Interactive Navigation in Environments with Traversable Obstacles Using Large Language and Vision-Language Models 2024 ·Zhen Zhang, (unknown), (unknown), (unknown), Qi Dou, Kwok Wai Samuel Au	6
9	Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation 2024 ·Jiawei Fu, (unknown), Kai Chen, Wang Wei, Qi Dou	1
10	FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification 2024 ·IEEE Transactions on Cybernetics ·(unknown), Yanqi Huang, Guoqiang Han, Zhenwei Shi, Jiatai Lin, Qi Dou, Zaiyi Liu, Xiaojing Guo, C. L. Philip Chen, Chu Han	6
11	Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement 2024 ·(unknown), (unknown), Yuqi Gong, (unknown), Wenao Ma, (unknown), Jill Abrigo, Qi Dou	2
12	Simultaneous Estimation of Shape and Force along Highly Deformable Surgical Manipulators Using Sparse FBG Measurement 2024 ·(unknown), Bin Li, Wei Chen, Junyan Yan, Shing Shin Cheng, Jiangliu Wang, Jianshu Zhou, Qi Dou, Yunhui Liu	1
13	Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-template Matching 2024 ·Jiaxin Guo, Jiangliu Wang, Zhaoshuo Li, (unknown), Qi Dou, (unknown)	1
14	Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane 2024 ·IEEE Transactions on Medical Imaging ·Yang Chen, (unknown), Yuehao Wang, Qi Dou, Xiaokang Yang, Wei Shen	8
15	Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation 2023 ·Expert Systems with Applications ·Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin	13
16	Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study 2023 ·Nature Communications ·Jianfeng Cao, Hon‐Chi Yip, (unknown), (unknown), Xiaobei Luo, (unknown), (unknown), Yonghao Long, Yueming Jin, Philip Wai Yan Chiu, Yeung Yam, Helen Meng, Qi Dou	24
17	Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin	18
18	A Sim-to-Real Object Recognition and Localization Framework for Industrial Robotic Bin Picking 2022 ·IEEE Robotics and Automation Letters ·Xianzhi Li, Rui Cao, Yidan Feng, Kai Chen, (unknown), Chi‐Wing Fu, (unknown), Qi Dou, Yunhui Liu, Pheng‐Ann Heng	34
19	Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images 2019 ·Journal of Magnetic Resonance Imaging ·Juan Zhou, Luyang Luo, Qi Dou, Hao Chen, Cheng Chen, Gongjie Li, Zefei Jiang, Pheng‐Ann Heng	118
20	Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng‐Ann Heng	66

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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