Aiping Qu

532 total citations
30 papers, 391 citations indexed

About

Aiping Qu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aiping Qu has authored 30 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aiping Qu's work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Digital Imaging for Blood Diseases (5 papers). Aiping Qu is often cited by papers focused on AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Digital Imaging for Blood Diseases (5 papers). Aiping Qu collaborates with scholars based in China. Aiping Qu's co-authors include Jingping Yuan, Xiaofeng He, Lin‐Wei Wang, Penghui He, Juan Liu, Guifang Yang, Jiamei Chen, Yan Li, Hao Liang and Juan Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Aiping Qu

26 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiping Qu China 13 184 153 120 40 36 30 391
Michael Gadermayr Austria 11 234 1.3× 159 1.0× 149 1.2× 42 1.1× 37 1.0× 37 461
Nadia Brancati Italy 12 173 0.9× 148 1.0× 118 1.0× 14 0.3× 47 1.3× 23 363
Marek Wodziński Poland 12 193 1.0× 81 0.5× 163 1.4× 66 1.6× 39 1.1× 48 469
Mike Feldman United States 4 267 1.5× 170 1.1× 164 1.4× 30 0.8× 41 1.1× 4 395
Alexandr A. Kalinin United States 10 98 0.5× 74 0.5× 93 0.8× 26 0.7× 25 0.7× 16 384
Shunren Xia China 15 136 0.7× 125 0.8× 87 0.7× 45 1.1× 26 0.7× 31 392
Rayan Krishnan United States 3 157 0.9× 64 0.4× 123 1.0× 43 1.1× 21 0.6× 3 385
Yanda Meng United Kingdom 11 252 1.4× 230 1.5× 227 1.9× 46 1.1× 27 0.8× 28 504
Saima Rathore Pakistan 15 247 1.3× 210 1.4× 269 2.2× 38 0.9× 23 0.6× 27 559
Abdelrahim Nasser Esgiar Libya 7 206 1.1× 179 1.2× 83 0.7× 20 0.5× 49 1.4× 11 327

Countries citing papers authored by Aiping Qu

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiping Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Aiping Qu. A scholar is included among the top collaborators of Aiping 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 Aiping Qu. Aiping 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.
Qu, Aiping, et al.. (2024). DFCG: A Dual-Frequency Cascade Graph model for semi-supervised ultrasound image segmentation with diffusion model. Knowledge-Based Systems. 300. 112261–112261. 4 indexed citations
2.
Qu, Aiping, et al.. (2023). A scale and region-enhanced decoding network for nuclei classification in histology image. Biomedical Signal Processing and Control. 83. 104626–104626. 7 indexed citations
3.
He, Penghui, et al.. (2023). DETisSeg: A dual-encoder network for tissue semantic segmentation of histopathology image. Biomedical Signal Processing and Control. 87. 105544–105544. 16 indexed citations
4.
Qu, Aiping, et al.. (2023). An enhanced vision transformer with wavelet position embedding for histopathological image classification. Pattern Recognition. 140. 109532–109532. 29 indexed citations
5.
He, Penghui, et al.. (2023). A GNN-based Network for Tissue Semantic Segmentation in Histopathology Image. Journal of Physics Conference Series. 2504(1). 12047–12047.
6.
Yang, Gaobo, et al.. (2022). Tunable early CU size decision for depth map intra coding in 3D-HEVC using unsupervised learning. Digital Signal Processing. 123. 103448–103448. 7 indexed citations
7.
Chen, Mingzhi, et al.. (2022). Dual encoder network with transformer-CNN for multi-organ segmentation. Medical & Biological Engineering & Computing. 61(3). 661–671. 11 indexed citations
8.
Qu, Aiping, et al.. (2021). Contour-aware semantic segmentation network with spatial attention mechanism for medical image. The Visual Computer. 38(3). 749–762. 45 indexed citations
9.
Liang, Hao, et al.. (2021). A region-based convolutional network for nuclei detection and segmentation in microscopy images. Biomedical Signal Processing and Control. 71. 103276–103276. 18 indexed citations
10.
Qu, Aiping, et al.. (2020). An Integration Convolutional Neural Network for Nuclei Instance Segmentation. 17. 1104–1109. 2 indexed citations
11.
Wang, Lin‐Wei, Aiping Qu, Jingping Yuan, et al.. (2016). Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement. Scientific Reports. 6(1). 20564–20564. 21 indexed citations
12.
Qu, Aiping, et al.. (2016). [Computer-aided Prognosis for Breast Cancer Based on Hematoxylin & Eosin Histopathology Image].. PubMed. 33(3). 598–603. 2 indexed citations
13.
Wang, Lin‐Wei, Jingping Yuan, Guifang Yang, et al.. (2015). Application of multispectral imaging in quantitative immunohistochemistry study of breast cancer: a comparative study. Tumor Biology. 37(4). 5013–5024. 15 indexed citations
14.
Chen, Jiamei, Aiping Qu, Lin‐Wei Wang, et al.. (2015). New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images. Scientific Reports. 5(1). 10690–10690. 50 indexed citations
15.
Qu, Aiping, et al.. (2014). A sufficient descent Liu–Storey conjugate gradient method and its global convergence. Optimization. 64(9). 1919–1934. 2 indexed citations
16.
Wang, Lin‐Wei, Aiping Qu, Jingping Yuan, et al.. (2013). Computer-Based Image Studies on Tumor Nests Mathematical Features of Breast Cancer and Their Clinical Prognostic Value. PLoS ONE. 8(12). e82314–e82314. 25 indexed citations
17.
18.
Qu, Aiping, et al.. (2012). A modified Polak–Ribi‘ere–Polyak descent method for unconstrained optimization. Optimization methods & software. 29(1). 177–188. 3 indexed citations
19.
Qu, Aiping, et al.. (2012). The convergence rate of a restart MFR conjugate gradient method with inexact line search. Applied Mathematics and Computation. 218(23). 11380–11390. 3 indexed citations
20.
Qu, Aiping. (1988). Periodic interferences cancelling for biomedical signal using DES. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1114–1114 vol.3.

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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