Xingqun Qi

673 total citations
29 papers, 459 citations indexed

About

Xingqun Qi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xingqun Qi has authored 29 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Artificial Intelligence. Recurrent topics in Xingqun Qi's work include Advanced Neural Network Applications (6 papers), Retinal Imaging and Analysis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xingqun Qi is often cited by papers focused on Advanced Neural Network Applications (6 papers), Retinal Imaging and Analysis (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Xingqun Qi collaborates with scholars based in China, Australia and Hong Kong. Xingqun Qi's co-authors include Muyi Sun, Xiaoguang Zhou, Hao Dang, Qing Chang, Jiaming Liu, Yiwen Luo, Pengkun Liu, Xin Yu, Caifeng Shan and Lincheng Li and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xingqun Qi

26 papers receiving 452 citations

Peers

Xingqun Qi
Muyi Sun China
Neelam Sinha India
J. Anitha India
Chaolu Feng China
Saeed Kermani Iran
Shishir Maheshwari India
Murat Seçkin Ayhan Germany
Nawrès Khlifa Tunisia
G. Kavitha India
Muyi Sun China
Xingqun Qi
Citations per year, relative to Xingqun Qi Xingqun Qi (= 1×) peers Muyi Sun

Countries citing papers authored by Xingqun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xingqun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingqun Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xingqun Qi. A scholar is included among the top collaborators of Xingqun Qi 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 Xingqun Qi. Xingqun Qi 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.
Qi, Xingqun, Jiahao Pan, Chen Liu, et al.. (2025). CoCoGesture: Towards coherent co-speech 3D gesture generation in the wild. Information Fusion. 126. 103613–103613.
2.
Li, Peng, Yuan Liu, Tao Yu, et al.. (2025). PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing. 16008–16018. 3 indexed citations
3.
4.
Qi, Xingqun, Jiahao Pan, Peng Li, et al.. (2024). Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-Speech Gesture Generation. 10424–10434. 3 indexed citations
5.
Qi, Xingqun, et al.. (2024). Exploring Generalizable Distillation for Efficient Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics. 28(7). 4170–4183. 4 indexed citations
6.
Qi, Xingqun, et al.. (2023). Calligraphy Font Generation via Explicitly Modeling Location-Aware Glyph Component Deformations. IEEE Transactions on Multimedia. 26. 5939–5950. 3 indexed citations
7.
Qi, Xingqun, Chen Liu, Muyi Sun, et al.. (2023). Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement. 4616–4626. 7 indexed citations
8.
Liu, Chen, et al.. (2023). Audio-Visual Segmentation by Exploring Cross-Modal Mutual Semantics. 7590–7598. 17 indexed citations
9.
Dang, Hao, Yuekai Zhang, Xingqun Qi, Wanting Zhou, & Muyi Sun. (2023). Lightvessel: Exploring Lightweight Coronary Artery Vessel Segmentation Via Similarity Knowledge Distillation. 1–5. 1 indexed citations
10.
Wang, Zijian, Xingqun Qi, Kun Yuan, & Muyi Sun. (2022). Self-supervised Correlation Mining Network for Person Image Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 7693–7702. 11 indexed citations
11.
Qi, Xingqun, et al.. (2021). CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1227–1234. 6 indexed citations
12.
Sun, Muyi, et al.. (2021). Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images. Journal of Visual Communication and Image Representation. 77. 103134–103134. 18 indexed citations
13.
Qi, Xingqun, Muyi Sun, Weining Wang, et al.. (2021). Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network. 1–8. 9 indexed citations
14.
Luo, Yiwen, et al.. (2020). Retinal Blood Vessel Segmentation via Attention Gate Network. 247–251.
15.
Liu, Pengkun, et al.. (2020). RFP-based Faster R-CNN in Aerial Image Detection. 325–329. 1 indexed citations
16.
17.
Sun, Muyi, Wei Zhou, Xingqun Qi, et al.. (2019). Prediction of BAP1 Expression in Uveal Melanoma Using Densely-Connected Deep Classification Networks. Cancers. 11(10). 1579–1579. 28 indexed citations
18.
Liu, Jiaming, et al.. (2018). Queuing Strategy Optimization with Restricted Service Resources. Wireless Personal Communications. 102(4). 2681–2699. 1 indexed citations
19.
Qi, Xingqun, et al.. (2017). Comparison of Support Vector Machine and Softmax Classifiers in Computer Vision. 151–155. 61 indexed citations
20.
Qi, Xingqun. (2017). The Understanding of Convolutional Neuron Network Family. DEStech Transactions on Computer Science and Engineering. 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.

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