World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8826
World Ranking
9159
National Ranking
1170

Overview

Jintao Li is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of engineering, with a particular focus on computer vision and pattern recognition, soil science, artificial intelligence, atmospheric science, and ecology. Their research spans multiple interdisciplinary domains within these broader fields.

Li's work covers a diverse range of main topics including soil carbon and nitrogen dynamics, climate change and permafrost, AI in cancer detection, advanced electron microscopy techniques and applications, radiomics and machine learning in medical imaging, soil and unsaturated flow, as well as microbial community ecology and physiology.

Among recent publications by Jintao Li are:

  • "Acetylation promotes BCAT2 degradation to suppress BCAA catabolism and pancreatic cancer growth," 2020, Signal Transduction and Targeted Therapy
  • "Dissolved organic matter characteristics in soils of tropical legume and non-legume tree plantations," 2020, Soil Biology and Biochemistry
  • "Richer fusion network for breast cancer classification based on multimodal data," 2021, BMC Medical Informatics and Decision Making
  • "Computing and Communication Cost-Aware Service Migration Enabled by Transfer Reinforcement Learning for Dynamic Vehicular Edge Computing Networks," 2022, IEEE Transactions on Mobile Computing
  • "Temperature fluctuation promotes the thermal adaptation of soil microbial respiration," 2023, Nature Ecology & Evolution

Frequent collaborators in Li's research include Fa Zhang, Ming Nie, Jinquan Li, Shurong Zhou, and Rui Yan. These collaborations have supported work across various interdisciplinary topics and publication venues.

Li has published in several venues multiple times, with notable frequent publication outlets including Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), Global Change Biology, Soil Biology and Biochemistry, and Applied Thermal Engineering.

The broad scope of Li's research reflects engagement with both theoretical and applied aspects of engineering and environmental science, integrating machine learning techniques, medical imaging, and soil and atmospheric studies. This multidisciplinary approach informs their contributions to understanding environmental dynamics as well as computational methods for classification and adaptation in biological systems.

Best Publications

  • Deep Learning for Content-Based Image Retrieval: A Comprehensive Study

    Ji Wan;Dayong Wang;Steven Chu Hong Hoi;Pengcheng Wu

  • A density-based method for adaptive LDA model selection

    Juan Cao;Tian Xia;Jintao Li;Yongdong Zhang

  • Hierarchical spatio-temporal context modeling for action recognition

    Ju Sun;Xiao Wu;Shuicheng Yan;Loong-Fah Cheong

  • Exploiting Multi-domain Visual Information for Fake News Detection

    Peng Qi;Juan Cao;Tianyun Yang;Junbo Guo

  • Deep Representation Learning with Part Loss for Person Re-Identification

    Hantao Yao;Shiliang Zhang;Yongdong Zhang;Jintao Li

  • Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax

    Yu Li;Tao Wang;Bingyi Kang;Sheng Tang

  • Rumor Detection with Hierarchical Social Attention Network

    Han Guo;Juan Cao;Yazi Zhang;Junbo Guo

  • Scale-Adaptive Convolutions for Scene Parsing

    Rui Zhang;Sheng Tang;Yongdong Zhang;Jintao Li

  • MDFEND: Multi-domain Fake News Detection

    Qiong Nan;Juan Cao;Yongchun Zhu;Yanyan Wang

  • Sequential prediction of social media popularity with deep temporal context networks

    Bo Wu;Wen-Huang Cheng;Yongdong Zhang;Qiushi Huang

  • Exploring the Role of Visual Content in Fake News Detection.

    Juan Cao;Peng Qi;Qiang Sheng;Tianyun Yang

  • Adaptive weighted imbalance learning with application to abnormal activity recognition

    Xingyu Gao;Zhenyu Chen;Sheng Tang;Yongdong Zhang

  • SOML: sparse online metric learning with application to image retrieval

    Xingyu Gao;Steven C. H. Hoi;Yongdong Zhang;Ji Wan

  • Trip Outfits Advisor: Location-Oriented Clothing Recommendation

    Xishan Zhang;Jia Jia;Ke Gao;Yongdong Zhang

  • Coarse-to-Fine Description for Fine-Grained Visual Categorization

    Hantao Yao;Shiliang Zhang;Yongdong Zhang;Jintao Li

  • Contextual Query Expansion for Image Retrieval

    Hongtao Xie;Yongdong Zhang;Jianlong Tan;Li Guo

  • Automatic Rumor Detection on Microblogs: A Survey

    Juan Cao;Junbo Guo;Xirong Li;Zhiwei Jin

  • Asymmetric GAN for Unpaired Image-to-Image Translation

    Yu Li;Sheng Tang;Rui Zhang;Yongdong Zhang

  • Richer fusion network for breast cancer classification based on multimodal data

    Rui Yan;Fa Zhang;Xiaosong Rao;Zhilong Lv

  • Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description

    Xishan Zhang;Ke Gao;Yongdong Zhang;Dongming Zhang

  • Boosted Near-miss Under-sampling on SVM ensembles for concept detection in large-scale imbalanced datasets

    Lei Bao;Cao Juan;Jintao Li;Yongdong Zhang

  • Deep Fusion of Multiple Semantic Cues for Complex Event Recognition

    Xishan Zhang;Hanwang Zhang;Yongdong Zhang;Yang Yang

  • High throughput and low memory access sub-pixel interpolation architecture for H.264/AVC HDTV decoder

    Ronggang Wang;Mo Li;Jintao Li;Yongdong Zhang

Frequent Co-Authors

Yongdong Zhang
Yongdong Zhang University of Science and Technology of China
Qi Tian
Qi Tian Huawei Technologies (China)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Wen Gao
Wen Gao Peking University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Qun Liu
Qun Liu Huawei Technologies (China)
Tao Mei
Tao Mei Jingdong (China)
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology

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