Linhao Qu

794 total citations
34 papers, 364 citations indexed

About

Linhao Qu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linhao Qu has authored 34 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linhao Qu's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Image Fusion Techniques (8 papers). Linhao Qu is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced Image Fusion Techniques (8 papers). Linhao Qu collaborates with scholars based in China, United States and France. Linhao Qu's co-authors include Manning Wang, Zhijian Song, Shaolei Liu, Zhijian Song, Siyu Liu, Xiaoyu Liu, Qin Qiao, Siqi Yin, Qinhao Guo and Yonghong Shi and has published in prestigious journals such as Scientific Reports, American Journal Of Pathology and Expert Systems with Applications.

In The Last Decade

Linhao Qu

29 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linhao Qu China 11 199 168 109 77 43 34 364
Anas M. Ali Saudi Arabia 11 165 0.8× 89 0.5× 90 0.8× 53 0.7× 29 0.7× 26 315
Rajeshwar Dass India 9 164 0.8× 79 0.5× 131 1.2× 136 1.8× 56 1.3× 28 394
Tiep H. Vu United States 5 281 1.4× 128 0.8× 136 1.2× 81 1.1× 34 0.8× 7 390
Yaning Feng China 8 179 0.9× 116 0.7× 58 0.5× 83 1.1× 17 0.4× 21 379
Jia Gu China 10 165 0.8× 39 0.2× 64 0.6× 114 1.5× 51 1.2× 35 332
Weili Shi China 9 132 0.7× 32 0.2× 66 0.6× 101 1.3× 55 1.3× 64 297
Amjad Khan Malaysia 10 153 0.8× 32 0.2× 97 0.9× 66 0.9× 30 0.7× 20 308
Sonali Sonali India 7 142 0.7× 51 0.3× 43 0.4× 157 2.0× 26 0.6× 15 336

Countries citing papers authored by Linhao Qu

Since Specialization
Citations

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

Fields of papers citing papers by Linhao Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linhao Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Linhao Qu. A scholar is included among the top collaborators of Linhao Qu 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 Linhao Qu. Linhao Qu 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.
Zhang, Jing, et al.. (2025). Enhancing zero-shot brain tumor subtype classification via fine-grained patch-text alignment. Expert Systems with Applications. 300. 130161–130161.
2.
Bi, Qiu, Linhao Qu, Qingyue Meng, et al.. (2025). Foundation model-driven multimodal prognostic prediction in patients undergoing primary surgery for high-grade serous ovarian cancer. npj Precision Oncology. 9(1). 114–114.
3.
4.
Qu, Linhao, et al.. (2024). Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework. Biomedical Signal Processing and Control. 96. 106493–106493. 2 indexed citations
5.
Yang, Dingkang, Linhao Qu, Kun Yang, et al.. (2024). Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 12360–12375. 1 indexed citations
6.
Qu, Linhao, et al.. (2024). Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 9732–9744. 16 indexed citations
7.
Bi, Qiu, et al.. (2024). MAMILNet: advancing precision oncology with multi-scale attentional multi-instance learning for whole slide image analysis. Frontiers in Oncology. 14. 1275769–1275769. 2 indexed citations
8.
Zeng, Xixi, Linhao Qu, Xia Sheng, et al.. (2024). Advancing Automatic Gastritis Diagnosis. American Journal Of Pathology. 194(8). 1538–1549. 1 indexed citations
9.
Liu, Shaolei, et al.. (2024). Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation. Neural Computing and Applications. 36(12). 6741–6755. 1 indexed citations
10.
Qu, Linhao, et al.. (2024). Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation. BioMedical Engineering OnLine. 23(1). 52–52. 12 indexed citations
11.
Qu, Linhao, Chengsheng Zhang, Guihui Li, et al.. (2024). Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach. 441–446. 2 indexed citations
12.
13.
Guo, Qinhao, Linhao Qu, Jun Zhu, et al.. (2023). Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images. Modern Pathology. 36(12). 100316–100316. 9 indexed citations
14.
Qu, Linhao, et al.. (2023). Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis. IEEE Journal of Biomedical and Health Informatics. 28(2). 964–975. 6 indexed citations
15.
Qu, Linhao, et al.. (2023). Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks. Expert Systems with Applications. 236. 121363–121363. 15 indexed citations
16.
Qu, Linhao, et al.. (2023). Label correlation transformer for automated chest X-ray diagnosis with reliable interpretability. La radiologia medica. 128(6). 726–733. 5 indexed citations
17.
Liu, Shaolei, Siqi Yin, Linhao Qu, & Manning Wang. (2023). Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1719–1727. 10 indexed citations
18.
Gao, Peng, et al.. (2023). POS-BERT: Point cloud one-stage BERT pre-training. Expert Systems with Applications. 240. 122563–122563. 14 indexed citations
19.
Qu, Linhao, Siyu Liu, Xiaoyu Liu, Manning Wang, & Zhijian Song. (2022). Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised techniques in histopathological image analysis. Physics in Medicine and Biology. 67(20). 20TR01–20TR01. 40 indexed citations
20.

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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