ИСТИНА

Yong Ding

Соавторы: Крылов А.С., Farias M., Chen X., Deng R., Guangming S., Xiaogang X., Пчелинцев Я.А., Хвостиков А.В., Chen J., Chunyue C., Dai H., Fong W., Gao X. показать полностью..., Haribo C., Jianqing J., Kangkang S., Li Jiale, Luo S., Parolina L.E., Ruizhe D., Shao L., Sun Y., Wu B., Xiaolang Y., Xiaoyong W., Xie X., Yuan Z., Zengbo W., Zhang T., Zhao Y., Zhao Y., Zhi-Qiang Z., Zhu Z., Довганич А.А., К Ю., Лукьянчук Б.С., Мин Я., Насонов А.В., Умнов А.В., Ховайло В.В., Чекин Л.С., Яминский И.В.

13 статей

Количество цитирований статей в журналах по данным Web of Science: 47, Scopus: 72

IstinaResearcherID (IRID): 6080460

Деятельность

• Статьи в журналах

  • • 2023 Hardness Analysis of X-Ray Images for Neural-Network Tuberculosis Diagnosis
    • Pchelintsev Ya A., Khvostikov A.V., Krylov A.S., Parolina L.E., Nikoforova N.A., Shepeleva L.P., Prokop’ev E.S., Farias M., Yong Ding
    • в журнале Computational Mathematics and Modeling, издательство Consultants Bureau (United States), том 33, № 2, с. 230-243 DOI
  • • 2023 On The Intelligent Medical Image Analysis and Processing
    • Farias Mylène C.Q., Yong Ding, Krylov Andrey S.
    • в журнале Computational Mathematics and Modeling, издательство Consultants Bureau (United States), том 33, № 2, с. 210-210 DOI
  • • 2022 Automatic Out-of-Distribution Detection Methods for Improving the Deep Learning Classification of Pulmonary X-ray Images
    • Dovganich Andrey A., Khvostikov Alexander V., Pchelintsev Yakov A., Krylov Andrey S., Ding Yong, Farias Mylene C.Q.
    • в журнале Journal of Image and Graphics, издательство University of Portsmouth (UK), том 10, № 2, с. 230-243 DOI
  • • 2022 Optical super-resonances in dielectric microsphere particles
    • Zengbo Wang, Luk'yanchuk Boris, Wu Baidong, Yan Bing, Assel Ahmetova, Yaminsky Igor, Yu Haibo, Liu Lianqing
    • в журнале Proceedings of SPIE - The International Society for Optical Engineering, издательство SPIE, the International Society for Optical Engineering (Bellingham, WA, United States) DOI
  • • 2022 Unconventional magnetoresistive behavior near magnetic compensation temperature in ferrimagnetic Mn$\less$sub$\greater$2.21$\less$/sub$\greater$Ru$\less$sub$\greater$0.86$\less$/sub$\greater$Ga films
    • Dou Chunyue, Xu Xiaoguang, Yang Ke, Li Chexin, Zhang Tanzhao, Zhu Zhiqiang, Zhao Xiaoyi, Meng Kangkang, Wu Yong, Chen Jikun, Yang Ming, Khovaylo V.V., Jiang Yong
    • в журнале Applied Physics Letters, издательство AIP Publishing (United States), том 121, № 18, с. 182403 DOI
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    • 2021 P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection from Point Clouds
    • Li Jiale, Sun Yu, Luo Shujie, Zhu Ziqi, Dai Hang, Krylov Andrey S., Ding Yong, Shao Ling
    • в журнале IEEE ACCESS, том 9, с. 98249-98260 DOI
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    • 2020 Learning Local Quality-aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks
    • Sun Guangming, Shi Bufan, Chen Xiaodong, Krylov Andrey S., Ding Yong
    • в журнале IEEE Transactions on Multimedia, издательство Institute of Electrical and Electronics Engineers (Piscataway, NJ, United States), том 22, № 11, с. 2938-29491 DOI
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    • 2019 3D No-Reference Image Quality Assessment via Transfer Learning and Saliency-Guided Feature Consolidation
    • Xiaogang X., Shi B., Gu Z., Deng R., Chen X., Krylov A.S., Ding Y.
    • в журнале IEEE ACCESS, том 7, с. 85286-85297 DOI
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    • 2019 Stereoscopic Image Quality Assessment by Analyzing Visual Hierarchical Structures and Binocular Effects
    • Yong Ding, Yang Zhao, Xiaodong Chen, Xiaolei Zhu, Krylov Andrey
    • в журнале IET Image Processing, издательство Institute of Electrical Engineers (United Kingdom), с. 1-10 DOI
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    • 2018 No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction
    • Ding Y., Deng R., Xie X., Xu X., Zhao Y., Chen X., Krylov A.S.
    • в журнале IEEE ACCESS, том 6, с. 37595-37603 DOI
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    • 2018 Stereoscopic Image Quality Assessment by Considering Binocular Visual Mechanisms
    • Guangming Sun, Yong Ding, Ruizhe Deng, Yang Zhao, Xiaodong Chen, Krylov Andrey S.
    • в журнале IEEE ACCESS, том 6, № 1, с. 51337-51347 DOI
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    • 2014 Information-based reduced reference image quality assessment incorporating non-tensor product wavelet filter banks
    • Yong Ding, Yuan Zhang, Xiaolang Yan, Krylov Andrey S.
    • в журнале Chinese Science Bulletin, издательство Zhongguo Kexue Zazhishe/Science in China Press (China), том 59, № 16, с. 1917-1924 DOI

• Статьи в сборниках

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    • 2014 Sparse method for ringing artifact detection
    • Umnov A., Nasonov A., Krylov A., Ding Yong
    • в сборнике 12th International Conference on Signal Processing (ICSP), место издания IEEE Hangzhou, China, с. 662-667 DOI