Donghuan Lu

2.6k total citations
29 papers, 686 citations indexed

About

Donghuan Lu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Donghuan Lu has authored 29 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 16 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Donghuan Lu's work include Advanced Neural Network Applications (7 papers), Retinal Imaging and Analysis (7 papers) and Optical Coherence Tomography Applications (6 papers). Donghuan Lu is often cited by papers focused on Advanced Neural Network Applications (7 papers), Retinal Imaging and Analysis (7 papers) and Optical Coherence Tomography Applications (6 papers). Donghuan Lu collaborates with scholars based in China, Canada and United States. Donghuan Lu's co-authors include Mirza Faisal Beg, Gavin Weiguang Ding, Karteek Popuri, Yefeng Zheng, Rakesh Balachandar, Zhe Xu, Raymond Kai‐Yu Tong, Yixin Wang, Jiangpeng Yan and Marinko V. Šarunic and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Medical Imaging.

In The Last Decade

Donghuan Lu

28 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donghuan Lu China 11 329 262 216 163 128 29 686
Mouloud Adel France 14 320 1.0× 295 1.1× 111 0.5× 129 0.8× 55 0.4× 45 626
Gavin Weiguang Ding Canada 7 173 0.5× 83 0.3× 126 0.6× 77 0.5× 88 0.7× 11 387
Ivana Despotović Belgium 9 189 0.6× 296 1.1× 86 0.4× 229 1.4× 56 0.4× 16 584
Cheng‐Kai Lu Malaysia 13 223 0.7× 128 0.5× 93 0.4× 26 0.2× 100 0.8× 64 502
Inas A. Yassine Egypt 9 150 0.5× 77 0.3× 63 0.3× 50 0.3× 60 0.5× 33 394
Kyle Hasenstab United States 13 488 1.5× 42 0.2× 72 0.3× 38 0.2× 67 0.5× 37 879
Maria Inês Meyer Belgium 5 220 0.7× 177 0.7× 88 0.4× 25 0.2× 42 0.3× 5 368
Amir Ebrahimi Ghahnavieh Iran 8 106 0.3× 135 0.5× 220 1.0× 336 2.1× 76 0.6× 12 570
Zailiang Chen China 18 660 2.0× 454 1.7× 72 0.3× 45 0.3× 124 1.0× 54 961
G. Kavitha India 11 124 0.4× 133 0.5× 62 0.3× 58 0.4× 25 0.2× 73 354

Countries citing papers authored by Donghuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Donghuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghuan Lu. A scholar is included among the top collaborators of Donghuan Lu 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 Donghuan Lu. Donghuan Lu 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.
Xu, Zhe, Cheng Chen, Donghuan Lu, et al.. (2025). GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation. IEEE Transactions on Medical Imaging. 45(1). 308–319.
2.
Xu, Zhe, Donghuan Lu, Jie Luo, Yefeng Zheng, & Raymond Kai‐Yu Tong. (2024). Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Analysis. 93. 103095–103095. 4 indexed citations
3.
Xu, Zhe, Yixin Wang, Donghuan Lu, et al.. (2023). Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Analysis. 88. 102880–102880. 83 indexed citations
4.
5.
Ning, Munan, Donghuan Lu, Yujia Xie, et al.. (2023). MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13553–13566. 4 indexed citations
6.
Liu, Bo, Donghuan Lu, Dong Wei, et al.. (2023). Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. IEEE Transactions on Medical Imaging. 42(12). 3579–3589. 24 indexed citations
7.
Ma, Da, Sieun Lee, Donghuan Lu, et al.. (2023). Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Computers in Biology and Medicine. 159. 106595–106595. 9 indexed citations
8.
Liu, Hong, et al.. (2023). M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1657–1665. 28 indexed citations
9.
Wei, Dong, Yawen Huang, Donghuan Lu, Yuexiang Li, & Yefeng Zheng. (2023). Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. Medical Physics. 51(3). 1832–1846. 2 indexed citations
10.
Xu, Zhe, Yixin Wang, Donghuan Lu, et al.. (2022). All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(7). 3174–3184. 58 indexed citations
11.
Xu, Zhe, Donghuan Lu, Jie Luo, et al.. (2022). Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 41(11). 3062–3073. 38 indexed citations
12.
Zhang, Lei, Weizhen Xu, Donghuan Lu, Laizhong Cui, & Jiangchuan Liu. (2022). MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 6 indexed citations
13.
Ma, Da, Donghuan Lu, Shuo Chen, et al.. (2021). LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. Computerized Medical Imaging and Graphics. 94. 101988–101988. 22 indexed citations
14.
Ma, Da, Donghuan Lu, Morgan Heisler, et al.. (2020). Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.. 493–502. 5 indexed citations
15.
16.
Heisler, Morgan, Donghuan Lu, Sonja Karst, et al.. (2019). Machine Learning Based End-to-End Pipeline for Optical Coherence Tomography Angiography of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 60(9). 2204–2204. 1 indexed citations
17.
Lu, Donghuan, Morgan Heisler, Sieun Lee, et al.. (2019). Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. Medical Image Analysis. 54. 100–110. 113 indexed citations
18.
Lu, Donghuan, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, & Mirza Faisal Beg. (2018). Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease. Medical Image Analysis. 46. 26–34. 150 indexed citations
19.
Lu, Donghuan, et al.. (2017). Multivariate association between single-nucleotide polymorphisms in Alzgene linkage regions and structural changes in the brain: discovery, refinement and validation. Statistical Applications in Genetics and Molecular Biology. 16(5-6). 349–365. 8 indexed citations
20.
Garg, Amanmeet, Donghuan Lu, Karteek Popuri, & Mirza Faisal Beg. (2017). Brain geometry persistent homology marker for Parkinson's disease. 46. 525–528. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mouloud Adel Breakdown of academic impact, for papers by Gavin Weiguang Ding Breakdown of academic impact, for papers by Ivana Despotović Breakdown of academic impact, for papers by Cheng‐Kai Lu Breakdown of academic impact, for papers by Inas A. Yassine Breakdown of academic impact, for papers by Kyle Hasenstab Breakdown of academic impact, for papers by Maria Inês Meyer Breakdown of academic impact, for papers by Amir Ebrahimi Ghahnavieh Breakdown of academic impact, for papers by Zailiang Chen Breakdown of academic impact, for papers by G. Kavitha
Rankless by CCL
2026