Dahong Qian

2.2k total citations
61 papers, 1.3k citations indexed

About

Dahong Qian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dahong Qian has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dahong Qian's work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Dahong Qian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (9 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Dahong Qian collaborates with scholars based in China, United Kingdom and United States. Dahong Qian's co-authors include Kai Jin, Shaoze Wang, Juan Ye, Yaofeng Wen, Mei Zhou, Jun Wang, Hongbing Lu, Chen Liu, Hu Luo and Xiaoming Li and has published in prestigious journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces and European Heart Journal.

In The Last Decade

Dahong Qian

56 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dahong Qian China 21 664 265 259 221 186 61 1.3k
Ken Chang United States 23 1.4k 2.2× 253 1.0× 169 0.7× 521 2.4× 336 1.8× 51 2.2k
Jiancheng Yang China 17 613 0.9× 312 1.2× 473 1.8× 530 2.4× 322 1.7× 62 1.6k
Zhiwei Wang China 17 445 0.7× 212 0.8× 295 1.1× 383 1.7× 248 1.3× 95 1.3k
Michael K. K. Leung Canada 15 548 0.8× 854 3.2× 49 0.2× 114 0.5× 390 2.1× 25 1.8k
Heming Zhao China 16 353 0.5× 269 1.0× 321 1.2× 366 1.7× 38 0.2× 117 1.3k
Konstantinos K. Delibasis Greece 17 343 0.5× 99 0.4× 445 1.7× 135 0.6× 43 0.2× 91 984
Gregor Urban United States 12 454 0.7× 143 0.5× 398 1.5× 381 1.7× 219 1.2× 24 1.6k
Jixiang Guo China 17 534 0.8× 164 0.6× 258 1.0× 235 1.1× 242 1.3× 72 999
Yuhui Ma China 14 692 1.0× 406 1.5× 573 2.2× 279 1.3× 95 0.5× 36 1.4k
Germán González United States 18 317 0.5× 129 0.5× 181 0.7× 96 0.4× 204 1.1× 56 913

Countries citing papers authored by Dahong Qian

Since Specialization
Citations

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

Fields of papers citing papers by Dahong Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahong Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Dahong Qian. A scholar is included among the top collaborators of Dahong Qian 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 Dahong Qian. Dahong Qian 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.
Chen, Biaohua, Xiangning Zhang, Li Zhao, et al.. (2025). Renji endoscopic submucosal dissection video data set for early gastric cancer. Scientific Data. 12(1). 238–238. 2 indexed citations
2.
Liu, C. L., et al.. (2025). A spatial–spectral and temporal dual prototype network for motor imagery brain–computer interface. Knowledge-Based Systems. 315. 113315–113315. 2 indexed citations
3.
Wang, Jun, et al.. (2024). A Simple Normalization Technique Using Window Statistics to Improve the Out-of-Distribution Generalization on Medical Images. IEEE Transactions on Medical Imaging. 43(6). 2086–2097.
4.
5.
Xiang, Suncheng, et al.. (2023). Rethinking Person Re-Identification via Semantic-based Pretraining. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–17. 5 indexed citations
6.
Wang, Jun, Songchang Chen, Minghui Wu, et al.. (2023). Chromosome Detection in Metaphase Cell Images Using Morphological Priors. IEEE Journal of Biomedical and Health Informatics. 27(9). 4579–4590. 4 indexed citations
7.
Du, Sijia, Qinming Zhou, Xin‐Yun Huang, et al.. (2023). Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis. Multiple Sclerosis and Related Disorders. 75. 104750–104750. 8 indexed citations
8.
Huo, Jiayu, Xi Ouyang, Kai Xuan, et al.. (2022). Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency. Medical Image Analysis. 80. 102508–102508. 17 indexed citations
9.
Xiang, Suncheng, et al.. (2022). Rethinking Illumination for Person Re-Identification: A Unified View. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4730–4738. 14 indexed citations
10.
Zhao, Xu, et al.. (2022). Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera Calibration. IEEE Robotics and Automation Letters. 7(4). 10470–10477. 10 indexed citations
11.
Zhao, Xu, et al.. (2022). FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation. IEEE Transactions on Multimedia. 25. 7736–7746. 12 indexed citations
12.
Ye, Juan, Jun Wang, Linyan Wang, et al.. (2022). Improving the generalization of glaucoma detection on fundus images via feature alignment between augmented views. Biomedical Optics Express. 13(4). 2018–2018. 5 indexed citations
13.
Zheng, Shuangjia, Yize Jiang, Chengtao Li, et al.. (2022). Structure-Aware Multimodal Deep Learning for Drug–Protein Interaction Prediction. Journal of Chemical Information and Modeling. 62(5). 1308–1317. 47 indexed citations
14.
Wang, Jun, Xiaorong Chen, Hongbing Lu, et al.. (2020). Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images. Medical Physics. 47(4). 1738–1749. 25 indexed citations
15.
Wang, Jingyi, et al.. (2020). AEC-Net: Attention and Edge Constraint Network for Medical Image Segmentation. PubMed. 2020. 1616–1619. 8 indexed citations
16.
Zhang, Min, Jiajun Liu, Xiaozhu Lin, et al.. (2020). Performance of 18F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer. Frontiers in Oncology. 10. 568857–568857. 39 indexed citations
17.
Cheng, Zenghui, Jiping Zhang, Naying He, et al.. (2019). Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease. Frontiers in Aging Neuroscience. 11. 167–167. 55 indexed citations
18.
19.
Hu, Wei, et al.. (2015). [Measurement Error Analysis and Calibration Technique of NTC - Based Body Temperature Sensor].. PubMed. 39(6). 395–9. 2 indexed citations
20.
Wang, Shaoze, Yong Ding, Hang Dai, et al.. (2014). Generalized relative quality assessment scheme for reconstructed medical images. Bio-Medical Materials and Engineering. 24(6). 2865–2873.

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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