Qi Dong

1.0k total citations
20 papers, 504 citations indexed

About

Qi Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qi Dong has authored 20 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qi Dong's work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qi Dong is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Neural Network Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Qi Dong collaborates with scholars based in China, United Kingdom and Singapore. Qi Dong's co-authors include Shaogang Gong, Xiatian Zhu, Jiabo Huang, Jiang Xie, Caifeng Wan, Fenghua Li, Yan Wang, Wu Zhang, Chengrun Du and Yugang Hu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and International Journal of Biological Macromolecules.

In The Last Decade

Qi Dong

17 papers receiving 498 citations

Peers

Qi Dong

CVPR

RNMI

EEE

Kuan Li China

Tiejun Yang China

Jiao Hu China

Hanoona Rasheed United Arab Emirates

Shan An China

Farhat Afza Pakistan

Zhiqiang He China

Tapas Si India

Tahereh Hassanzadeh Australia

Ehab Essa Egypt

Kuan Li China

Qi Dong

353 ×1.3

305 ×1.2

CVPR

35 ×0.6

RNMI

27 ×0.6

33 ×0.8

EEE

Citations per year, relative to Qi Dong Qi Dong (= 1×) peers Kuan Li

Countries citing papers authored by Qi Dong

Since Specialization

Citations

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

Fields of papers citing papers by Qi Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Dong. A scholar is included among the top collaborators of Qi Dong 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 Qi Dong. Qi Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pan, Xiao, Chengtao Wang, Qi Dong, et al.. (2025). Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images. BMC Oral Health. 25(1). 1352–1352.

Dong, Qi, et al.. (2024). Dual biomarkers CT-based deep learning model incorporating intrathoracic fat for discriminating benign and malignant pulmonary nodules in multi-center cohorts. Physica Medica. 129. 104877–104877. 1 indexed citations

Dong, Qi, et al.. (2024). Cooling Design of Oil-Cooling Air-Core Stator for a High-Temperature Superconducting Motor. IEEE Transactions on Applied Superconductivity. 34(8). 1–5.

Dong, Qi, et al.. (2023). Optimization Practice of University Innovation and Entrepreneurship Education Based on the Perspective of OBE. Journal of Combinatorial Mathematics and Combinatorial Computing. 118. 181–189. 4 indexed citations

Lv, Zhihan, Fabio Poiesi, Qi Dong, Jaime Lloret, & Houbing Song. (2023). Special Issue on Deep Learning for Intelligent Human Computer Interaction. ACM Transactions on Multimedia Computing Communications and Applications. 20(2). 1–5. 1 indexed citations

Wang, Hao, Yugang Hu, Yueying Chen, et al.. (2023). Ultrasound-controlled nano oxygen carriers enhancing cell viability in 3D GelMA hydrogel for the treatment of myocardial infarction. International Journal of Biological Macromolecules. 244. 125139–125139. 17 indexed citations

Xie, Jiang, et al.. (2022). Dual-Branch Convolutional Neural Network Based on Ultrasound Imaging in the Early Prediction of Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Breast Cancer. Frontiers in Oncology. 12. 812463–812463. 16 indexed citations

Xie, Jiang, Wu Zhang, Qi Dong, et al.. (2020). A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors. Physics in Medicine and Biology. 65(24). 245001–245001. 12 indexed citations

Dong, Qi, et al.. (2020). Inter-Task Association Critic for Cross-Resolution Person Re-Identification. Queen Mary Research Online (Queen Mary University of London). 41 indexed citations

10.

Huang, Jiabo, Qi Dong, Shaogang Gong, & Xiatian Zhu. (2020). Unsupervised Deep Learning via Affinity Diffusion. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11029–11036. 11 indexed citations

11.

Dong, Qi, Xiatian Zhu, & Shaogang Gong. (2019). Single-Label Multi-Class Image Classification by Deep Logistic Regression. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3486–3493. 19 indexed citations

12.

Dong, Qi, Xiatian Zhu, & Shaogang Gong. (2019). Person Search by Text Attribute Query As Zero-Shot Learning. Queen Mary Research Online (Queen Mary University of London). 32 indexed citations

13.

Huang, Jiabo, Qi Dong, Shaogang Gong, & Xiatian Zhu. (2019). Unsupervised Deep Learning by Neighbourhood Discovery. arXiv (Cornell University). 2849–2858. 35 indexed citations

14.

Dong, Qi, Shaogang Gong, & Xiatian Zhu. (2018). Imbalanced Deep Learning by Minority Class Incremental Rectification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(6). 1367–1381. 242 indexed citations

15.

Dong, Qi, Shaogang Gong, & Xiatian Zhu. (2017). Multi-task Curriculum Transfer Deep Learning of Clothing Attributes. Queen Mary Research Online (Queen Mary University of London). 520–529. 54 indexed citations

16.

Dong, Qi. (2011). Analysis and Research on the Communication Process of Enterprise Internet Public Opinion Based on Web2.0. Information Sciences. 2 indexed citations

17.

Dong, Qi, et al.. (2009). Audio watermarking of stereo signals based on echo-hiding method. 11. 1–4. 8 indexed citations

18.

Dong, Qi, et al.. (2009). Robustness of One Bit Per Sample audio watermarking. 11. 932–935. 2 indexed citations

19.

Lu, Y.F., et al.. (1995). Substitution effect in the Bi2-xPbxSr2CaCu2-xMgxO8+δ system. physica status solidi (a). 149(2). K33–K37.

20.

Lu, Y.F., et al.. (1994). Substitution of vanadium for copper in the (Bi, Pb)2Sr2Ca2Cu3O10+σ system. physica status solidi (a). 141(1). 175–182. 7 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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