Tong Tong

2001–2026 年に発表

別表記
Tong, Tong
308
論文数
18,512
被引用数
67
h 指数
180
i10 指数

被引用数

Tong Tong の年別被引用数1967 年: 被引用 2 件1974 年: 被引用 1 件1975 年: 被引用 2 件1994 年: 被引用 1 件2000 年: 被引用 2 件2002 年: 被引用 6 件2003 年: 被引用 17 件2004 年: 被引用 18 件2005 年: 被引用 18 件2006 年: 被引用 20 件2007 年: 被引用 23 件2008 年: 被引用 9 件2009 年: 被引用 17 件2010 年: 被引用 15 件2011 年: 被引用 18 件2012 年: 被引用 22 件2013 年: 被引用 29 件2014 年: 被引用 66 件2015 年: 被引用 116 件2016 年: 被引用 172 件2017 年: 被引用 185 件2018 年: 被引用 291 件2019 年: 被引用 716 件2020 年: 被引用 869 件2021 年: 被引用 881 件2022 年: 被引用 788 件2023 年: 被引用 905 件2024 年: 被引用 1,248 件2025 年: 被引用 917 件2026 年: 被引用 155 件2027 年: 被引用 1 件1968〜1973 年は被引用が無いため表示していません1976〜1993 年は被引用が無いため表示していません1995〜1999 年は被引用が無いため表示していません2001 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,724 件、この内訳の 36.8%アメリカ合衆国: 引用元論文 1,361 件、この内訳の 13.4%イギリス: 引用元論文 515 件、この内訳の 5.1%インド: 引用元論文 386 件、この内訳の 3.8%韓国: 引用元論文 305 件、この内訳の 3%イタリア: 引用元論文 254 件、この内訳の 2.5%カナダ: 引用元論文 243 件、この内訳の 2.4%ドイツ: 引用元論文 229 件、この内訳の 2.3%オーストラリア: 引用元論文 225 件、この内訳の 2.2%フランス: 引用元論文 210 件、この内訳の 2.1%スペイン: 引用元論文 171 件、この内訳の 1.7%日本: 引用元論文 167 件、この内訳の 1.6%
0%36.8%その他 23.1%

分野

  • Medicine31.7%
  • Computer Science30.9%
  • Biochemistry, Genetics and Molecular Biology11.9%
  • Neuroscience6.9%
  • Engineering5.1%
  • Energy3.6%
  • その他9.9%

トピック

  • Advanced Image Processing Techniques5.9%
  • Radiomics and Machine Learning in Medical Imaging3.5%
  • Advanced Vision and Imaging3.4%
  • Brain Tumor Detection and Classification3.1%
  • Image and Signal Denoising Methods2.8%
  • AI in cancer detection2.6%
  • その他78.7%

共著者

全論文

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  1. Image Super-Resolution Using Dense Skip Connections

    著者: , , , - IEEE International Conference on Computer Vision (ICCV) 2017 被引用: 1,399

  2. HTC-Net: A hybrid CNN-transformer framework for medical image segmentation

    著者: , , , , , , , , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2023 被引用: 107

  3. Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients

    著者: , , , , , , , , , , - Journal of Hematology & Oncology 2022 被引用: 266

  4. Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

    著者: , , , , , - Frontiers in Neuroscience 2019 被引用: 294

  5. Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment

    著者: , , , , , , , , , , - Frontiers in Neuroscience 2018 被引用: 404

  6. Identification of genomic alterations in oesophageal squamous cell cancer

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian‐Yi Wu, Ling Ma, Jinyang Zhao, Longhai Luo, Ming Fu, Bainan Xu, Bo Chen, Yingrui Li, Tong Tong, Ming‐Rong Wang, Zhihua Liu, Dongxin Lin, Xiuqing Zhang, Huanming Yang, Jun Wang, Qimin Zhan - Nature 2014 被引用: 1,134

  7. Multi-modal classification of Alzheimer's disease using nonlinear graph fusion

    著者: , , , , - Pattern Recognition, Pattern Recognit. 2016 被引用: 251

  8. Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer’s Disease

    著者: , , , , , , , , - Frontiers in Neuroscience 2021 被引用: 117

  9. Spatial and Single-Cell Transcriptomics Reveal a Cancer-Associated Fibroblast Subset in HNSCC That Restricts Infiltration and Antitumor Activity of CD8+ T Cells

    著者: , , , , , , , , , , , - Cancer Research 2023 被引用: 117

  10. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study

    著者: , , , , , , , , , , , , , - EBioMedicine 2021 被引用: 128

  11. Identification of volatile and odor-active compounds in Hunan black tea by SPME/GC-MS and multivariate analysis

    著者: , , , , , , , , - LWT 2022 被引用: 93

  12. Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data

    著者: , , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2021 被引用: 91

  13. Image Super-Resolution Using Knowledge Distillation

    著者: , , , - Lecture notes in computer science, ACCV (2) 2018 被引用: 90

  14. NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Álvaro García, Jaeho Lee, Seongwan Kim, S. M. A. Sharif, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C ほか 12 名 - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2024 被引用: 46

  15. H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis

    著者: , , , , , , , , , - Information Sciences, Inf. Sci. 2022 被引用: 44

  16. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study

    著者: , , , , , , , , , , , - Cancer 2022 被引用: 95

  17. Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study

    著者: , , , , , , , - European Radiology 2021 被引用: 130

  18. Cysteine-Based Redox-Responsive Nanoparticles for Fibroblast-Targeted Drug Delivery in the Treatment of Myocardial Infarction

    著者: , , , , , , , , , , , , , , , , , , - ACS Nano 2023 被引用: 65

  19. CoTrFuse: a novel framework by fusing CNN and transformer for medical image segmentation

    著者: , , , , , , , , - Physics in Medicine and Biology 2023 被引用: 42

  20. NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2024 被引用: 31

  21. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Katherine R. Gray, Elaheh Moradi, Jussi Tohka, Alexandre Routier, Stanley Durrleman, Alessia Sarica, Giuseppe Di Fatta, F. Sensi, A. Chincarini, G. M. Smith, Zhivko V. Stoyanov, Lauge Sørensen, Mads Nielsen, Sabina Tangaro, Paolo Inglese, Christian Wachinger, Martin Reuter, John C. van Swieten, Wiro J. Niessen, Stefan Klein - NeuroImage 2015 被引用: 352

  22. Utility of ctDNA in predicting response to neoadjuvant chemoradiotherapy and prognosis assessment in locally advanced rectal cancer: A prospective cohort study

    著者: , , , , , , , , , , , , , , , , , , - PLoS Medicine 2021 被引用: 162

  23. NTIRE 2024 Image Shadow Removal Challenge Report

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mohammed Nassif, Anis Koubâa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Chen Gao, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, R Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jae-Ho Lee, Seong‐Wan Kim, S M A Sharif, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Anil Balaji Gonde, Subrahmanyam Murala, Arun karthik K, N Manasa, Shri Hari Priya, Wei Hao, Xingzhuo Yan ほか 1 名 - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2024 被引用: 29

  24. Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis

    著者: , , , , , , , , , , , - BMC Medicine 2022 被引用: 74