Haoran Dou

1.0k total citations
31 papers, 513 citations indexed

About

Haoran Dou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Haoran Dou has authored 31 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Haoran Dou's work include AI in cancer detection (11 papers), Medical Image Segmentation Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Haoran Dou is often cited by papers focused on AI in cancer detection (11 papers), Medical Image Segmentation Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Haoran Dou collaborates with scholars based in China, United Kingdom and United States. Haoran Dou's co-authors include Xin Yang, Dong Ni, Luyi Han, Yunzhi Huang, Qi Liu, Honghao Luo, Ali Gholipour, Davood Karimi, Ruobing Huang and Yijie Dong and has published in prestigious journals such as Nature Methods, Journal of Power Sources and International Journal of Molecular Sciences.

In The Last Decade

Haoran Dou

28 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoran Dou China 14 256 242 160 64 58 31 513
Jianan Chen China 10 138 0.5× 224 0.9× 254 1.6× 98 1.5× 40 0.7× 32 580
Shekoofeh Azizi United States 10 350 1.4× 333 1.4× 362 2.3× 97 1.5× 35 0.6× 25 876
D. R. Sarvamangala India 3 194 0.8× 207 0.9× 133 0.8× 70 1.1× 87 1.5× 5 541
Shichuan Zhang China 9 138 0.5× 136 0.6× 203 1.3× 60 0.9× 72 1.2× 23 458
Jianning Chi China 13 293 1.1× 373 1.5× 277 1.7× 85 1.3× 71 1.2× 65 760
Hoel Kervadec Canada 7 196 0.8× 232 1.0× 300 1.9× 86 1.3× 42 0.7× 12 541
Dominik Müller Germany 6 173 0.7× 270 1.1× 141 0.9× 80 1.3× 63 1.1× 16 540
Harshawn Malhi United States 10 78 0.3× 196 0.8× 42 0.3× 67 1.0× 16 0.3× 14 439
Dzhoshkun I. Shakir United Kingdom 9 131 0.5× 221 0.9× 160 1.0× 105 1.6× 60 1.0× 22 532

Countries citing papers authored by Haoran Dou

Since Specialization
Citations

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

Fields of papers citing papers by Haoran Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoran Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Haoran Dou. A scholar is included among the top collaborators of Haoran 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 Haoran Dou. Haoran 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.
He, Guangzhi, Zhou Li, Zhiyuan Zhu, et al.. (2025). CLP-Net: an advanced artificial intelligence technique for localizing standard planes of cleft lip and palate by three-dimensional ultrasound in the first trimester. BMC Pregnancy and Childbirth. 25(1). 10–10. 2 indexed citations
2.
Huang, Yuhao, Allan Chang, Haoran Dou, et al.. (2025). Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound. Medical Image Analysis. 102. 103552–103552. 1 indexed citations
3.
Yang, Xin, Huaiyu Wu, Xiliang Zhu, et al.. (2025). Artificial Intelligence in Breast US Diagnosis and Report Generation. Radiology Artificial Intelligence. 7(4). e240625–e240625.
4.
Huang, Yunzhi, Luyi Han, Haoran Dou, Sahar Ahmad, & Pew‐Thian Yap. (2025). Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. Computer Methods and Programs in Biomedicine. 261. 108578–108578. 1 indexed citations
5.
Huang, Yunzhi, Luyi Han, & Haoran Dou. (2025). Generative feature style augmentation for domain generalization in medical image segmentation. Pattern Recognition. 162. 111416–111416. 6 indexed citations
6.
Dou, Haoran, Seppo Virtanen, Nishant Ravikumar, & Alejandro F. Frangi. (2024). A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4750–4764. 5 indexed citations
7.
Dou, Haoran, et al.. (2024). Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. Research Explorer (The University of Manchester). 1–5. 2 indexed citations
10.
Yang, Xin, Hong‐Zhang Wang, Haoran Dou, et al.. (2023). RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Analysis. 87. 102810–102810. 15 indexed citations
11.
Wang, Hongchao, Jian Wang, Hongxin Li, et al.. (2023). High-performance flexible Al-air batteries with liquid alloy-activated anode. Journal of Power Sources. 566. 232920–232920. 11 indexed citations
12.
Yang, Xin, Haoran Dou, Yuhao Huang, et al.. (2023). Test-time bi-directional adaptation between image and model for robust segmentation. Computer Methods and Programs in Biomedicine. 233. 107477–107477. 1 indexed citations
13.
Yang, Xin, Yuhao Huang, Ruobing Huang, et al.. (2021). Searching collaborative agents for multi-plane localization in 3D ultrasound. Medical Image Analysis. 72. 102119–102119. 20 indexed citations
14.
Liu, Zhendong, Xin Yang, Shengfeng Liu, et al.. (2020). Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer. 1824–1828. 14 indexed citations
15.
Yang, Xin, Haoming Li, Yi Wang, et al.. (2020). Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANS. 1793–1797. 12 indexed citations
16.
Dou, Haoran, Davood Karimi, Caitlin K. Rollins, et al.. (2020). A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Transactions on Medical Imaging. 40(4). 1123–1133. 43 indexed citations
17.
Yang, Xin, Xu Wang, Yi Wang, et al.. (2020). Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. Computer Methods and Programs in Biomedicine. 194. 105519–105519. 20 indexed citations
18.
Han, Luyi, Yunzhi Huang, Haoran Dou, et al.. (2019). Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network. Computer Methods and Programs in Biomedicine. 189. 105275–105275. 75 indexed citations
19.
Wang, Xu, Xin Yang, Haoran Dou, et al.. (2019). Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. 1–5. 16 indexed citations
20.
Huang, Yunzhi, Luyi Han, Haoran Dou, et al.. (2019). Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images. BioMedical Engineering OnLine. 18(1). 8–8. 55 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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