Kai Qiao

1.5k total citations
87 papers, 852 citations indexed

About

Kai Qiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Kai Qiao has authored 87 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Neurology. Recurrent topics in Kai Qiao's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Myasthenia Gravis and Thymoma (7 papers) and Mechanical Behavior of Composites (7 papers). Kai Qiao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Myasthenia Gravis and Thymoma (7 papers) and Mechanical Behavior of Composites (7 papers). Kai Qiao collaborates with scholars based in China, United States and United Kingdom. Kai Qiao's co-authors include Bin Yan, Linyuan Wang, Jian Chen, Lei Zeng, Jinjin Hai, Dapeng Shi, Li Tong, Chi Zhang, Ruoxi Qin and Chongbo Zhao and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Kai Qiao

74 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Qiao China	17	158	155	117	116	93	87	852
Xinghua Xu China	21	49 0.3×	100 0.6×	317 2.7×	98 0.8×	19 0.2×	77	1.1k
Zihao Zhang China	16	35 0.2×	126 0.8×	182 1.6×	74 0.6×	10 0.1×	79	882
Máté E. Maros Germany	12	195 1.2×	266 1.7×	78 0.7×	80 0.7×	6 0.1×	43	906
Mingli Zhang China	16	84 0.5×	116 0.7×	45 0.4×	224 1.9×	6 0.1×	115	963
Lei Guo China	13	89 0.6×	106 0.7×	15 0.1×	138 1.2×	15 0.2×	140	756
Kuniaki Saito Japan	14	508 3.2×	225 1.5×	49 0.4×	506 4.4×	9 0.1×	25	1.0k
Young Jin Jeong South Korea	15	14 0.1×	134 0.9×	52 0.4×	83 0.7×	37 0.4×	65	671
Letícia Rittner Brazil	16	110 0.7×	338 2.2×	50 0.4×	214 1.8×	7 0.1×	83	940
Imran Iqbal China	15	167 1.1×	80 0.5×	11 0.1×	104 0.9×	13 0.1×	41	958

Countries citing papers authored by Kai Qiao

Since Specialization

Citations

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

Fields of papers citing papers by Kai Qiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Qiao. A scholar is included among the top collaborators of Kai Qiao 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 Kai Qiao. Kai Qiao 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

Qiao, Kai, et al.. (2025). Multiscale damage analysis of through-thickness woven composites under in-plane and out-of-plane loadings: A coupled shell-based model. Composite Structures. 358. 118969–118969. 1 indexed citations

Sun, Chong, Jian Sun, Jianying Xi, et al.. (2025). Ofatumumab for treating autoimmune nodopathy. Journal of the Peripheral Nervous System. 30(1). e12679–e12679. 2 indexed citations

Qiao, Kai, et al.. (2025). RVE-based mesoscale damage modeling of 3D5D braided composites under four-point bending loading. Composites Communications. 61. 102666–102666.

Jin, S., et al.. (2025). Fine-grained classification of thoracic vertebral compression fractures based on multi-layer feature fusion and attention-guided patch recombination. Biomedical Engineering Letters. 15(6). 1109–1121.

Qiao, Kai, et al.. (2024). Fast optical high-resolution imaging through scattering medium based on virtual synthetic aperture model. Optics & Laser Technology. 181. 111742–111742. 1 indexed citations

Hai, Jinjin, et al.. (2024). Semantic contrast with uncertainty-aware pseudo label for lumbar semi-supervised classification. Computers in Biology and Medicine. 178. 108754–108754. 1 indexed citations

Li, Zhenyu, Kai Qiao, & Zheguang Zou. (2024). A Measurement System for Assessing Interaction Levels with Intelligent Chatbots: The Flow State Measurement System. IEEE Instrumentation & Measurement Magazine. 27(8). 23–29. 1 indexed citations

Wang, Ningning, J. He, Bochen Zhu, et al.. (2024). Diagnosis of Challenging Spinal Muscular Atrophy Cases with Long-Read Sequencing. Journal of Molecular Diagnostics. 26(5). 364–373.

Zhang, Chao, et al.. (2024). Numerical investigation on mechanical behavior of 3D orthogonal woven composites in hygrothermal environments. Mechanics of Advanced Materials and Structures. 32(3). 295–306. 4 indexed citations

10.

Chen, Sheng, Xiao Huan, Sushan Luo, et al.. (2023). Eomesodermin expression in CD4⁺T‐cells associated with disease progression in amyotrophic lateral sclerosis. CNS Neuroscience & Therapeutics. 30(4). e14503–e14503. 2 indexed citations

11.

Zhou, Lei, Chong Sun, Longjie Wang, et al.. (2023). Clinical profile of autoimmune nodopathy with anti‐neurofascin 186 antibody. Annals of Clinical and Translational Neurology. 10(6). 944–952. 15 indexed citations

12.

Qiao, Kai, et al.. (2022). Basic Problems Research in Stratospheric Airship Design. Chinese Journal of Space Science. 42(5). 927–927.

13.

Zhang, Lijie, Zhengguang Chen, Liwei Guo, et al.. (2021). Preliminary study on the application of renal ultrasonography radiomics in the classification of glomerulopathy. BMC Medical Imaging. 21(1). 115–115. 12 indexed citations

14.

Qiao, Kai, Ruoxi Qin, Linyuan Wang, et al.. (2020). Cycle-Consistent Adversarial GAN: The Integration of Adversarial Attack and Defense. Security and Communication Networks. 2020. 1–9. 9 indexed citations

15.

Qin, Ruoxi, Kai Qiao, Jinjin Hai, et al.. (2020). Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism. Complexity. 2020. 1–12. 60 indexed citations

16.

Qin, Ruoxi, Huike Zhang, Kai Qiao, et al.. (2020). Multicenter Computer-Aided Diagnosis for Lymph Nodes Using Unsupervised Domain-Adaptation Networks Based on Cross-Domain Confounding Representations. Computational and Mathematical Methods in Medicine. 2020. 1–10. 3 indexed citations

17.

Hai, Jinjin, Kai Qiao, Jian Chen, et al.. (2019). Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation. Journal of Healthcare Engineering. 2019. 1–11. 54 indexed citations

18.

Zhang, Chi, Kai Qiao, Linyuan Wang, et al.. (2019). A visual encoding model based on deep neural networks and transfer learning for brain activity measured by functional magnetic resonance imaging. Journal of Neuroscience Methods. 325. 108318–108318. 26 indexed citations

19.

Hai, Jinjin, Hongna Tan, Jian Chen, et al.. (2018). Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms. Computerized Medical Imaging and Graphics. 71. 58–66. 23 indexed citations

20.

Qiao, Kai, Jian Chen, Linyuan Wang, Lei Zeng, & Bin Yan. (2017). A top-down manner-based DCNN architecture for semantic image segmentation. PLoS ONE. 12(3). e0174508–e0174508. 6 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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