Ting Cao

Active 2002–2026

352
Papers
30,282
Citations
60
h-index
209
i10-index

Citations

Citations per year for Ting Cao1882: 2 citations1997: 2 citations2002: 50 citations2003: 150 citations2004: 137 citations2005: 119 citations2006: 82 citations2007: 89 citations2008: 68 citations2009: 68 citations2010: 70 citations2011: 62 citations2012: 97 citations2013: 148 citations2014: 168 citations2015: 182 citations2016: 202 citations2017: 210 citations2018: 234 citations2019: 328 citations2020: 432 citations2021: 576 citations2022: 561 citations2023: 561 citations2024: 1,014 citations2025: 963 citations2026: 263 citations1883–1996: no citations, so these years are not shown1998–2001: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,694 citing papers, 28.8% of this breakdownUnited States: 1,655 citing papers, 17.7% of this breakdownUnited Kingdom: 379 citing papers, 4.1% of this breakdownGermany: 341 citing papers, 3.6% of this breakdownJapan: 297 citing papers, 3.2% of this breakdownIndia: 284 citing papers, 3% of this breakdownSouth Korea: 277 citing papers, 3% of this breakdownAustralia: 216 citing papers, 2.3% of this breakdownFrance: 215 citing papers, 2.3% of this breakdownItaly: 208 citing papers, 2.2% of this breakdownCanada: 205 citing papers, 2.2% of this breakdownHong Kong: 153 citing papers, 1.6% of this breakdown
0%28.8%Other 26%

Fields

  • Biochemistry, Genetics and Molecular Biology26.5%
  • Computer Science19.1%
  • Medicine12.3%
  • Materials Science11.2%
  • Agricultural and Biological Sciences10.9%
  • Engineering7.3%
  • Other12.7%

Topics

  • 2D Materials and Applications3.4%
  • Genomics and Phylogenetic Studies2.1%
  • Parallel Computing and Optimization Techniques1.9%
  • Chromosomal and Genetic Variations1.7%
  • Graphene research and applications1.6%
  • Genetic Mapping and Diversity in Plants and Animals1.6%
  • Other87.7%

Coauthors

All papers

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  1. SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

    Authors: , , , , , , , , , , - arXiv (Cornell University), CoRR 2024 cited by 98

  2. nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices

    Authors: , , , , , , - Conference on Mobile Systems, MobiSys 2021 cited by 162

  3. Crosstalk between ER stress, NLRP3 inflammasome, and inflammation

    Authors: , , , , , , - Applied Microbiology and Biotechnology 2020 cited by 303

  4. CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices

    Authors: , , , , , , - Conference on Mobile Systems, MobiSys 2022 cited by 68

  5. BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation

    Authors: , , , , , , - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 49

  6. Therapeutic inhibition of mitochondrial reactive oxygen species with mito-TEMPO reduces diabetic cardiomyopathy

    Authors: , , , , , , , , - Free Radical Biology and Medicine 2015 cited by 287

  7. Biodegradable and Antioxidant DNA Hydrogel as a Cytokine Delivery System for Diabetic Wound Healing

    Authors: , , , , , , , , , , , , , , , , , , , , - Advanced Healthcare Materials 2022 cited by 103

  8. Hybrid SLM and LLM for Edge-Cloud Collaborative Inference

    Authors: , , , , - Workshop on Edge and Mobile Foundation Models, EdgeFM@MobiSys 2024 cited by 43

  9. Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nimali I. de Silva, Lidiane Alves dos Santos, Nawal Kishore Dubey, Sylvain Dumez, Himashi S. Ferdinandez, André Luiz Firmino, Yusufjon Gafforov, Achala J. Gajanayake, Deecksha Gomdola, Sugantha Gunaseelan, Shucheng-He, Zin Hnin Htet, Malarvizhi Kaliyaperumal, Martin Kemler, Kezhocuyi Kezo, Nuwan D. Kularathnage, Marco Leonardi, Ji-Peng Li, Chun-Fang Liao, Shun Liu, Michael Loizides, Thatsanee Luangharn, Jian Ma, Hugo Madrid, S. Mahadevakumar, Sajeewa S. N. Maharachchikumbura, Dimuthu S. Manamgoda, María P. Martín, M Niranjan, Pierre-Arthur Moreau, Yan-Hong Mu, Pasouvang Pahoua, Dhandevi Pem, Olinto Liparini Pereira, Wiphawanee Phonrob, Chayanard Phukhamsakda, Mubashar Raza, Guang-Cong Ren, Andrea C. Rinaldi, Walter Rossi, Binu C. Samarakoon, Milan C. Samarakoon, V. Venkateswara Sarma, Indunil C. Senanayake, Archana Singh, Maria Fernanda de Souza, Cristina Maria de Souza‐Motta, Adriano Afonso Spielmann, Wenxin Su, Xia Tang, Xingguo Tian, Kasun M. Thambugala, Naritsada Thongklang, Danushka S. Tennakoon, Nopparat Wannathes, DingPeng Wei, Stéphane Welti, Subodini N. Wijesinghe, Hongde Yang, Yunhui Yang, Hai‐Sheng Yuan, Huang Zhang, Jing-Yi Zhang, A. Balasuriya, Chitrabhanu S. Bhunjun, Timur S. Bulgakov, Lei Cai, Erio Camporesi, Putarak Chomnunti, Y. S. Deepika and 18 more - Fungal Diversity 2022 cited by 137

  10. AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs

    Authors: , , , , - Conference on Mobile Computing and Networking, MobiCom 2021 cited by 67

  11. Droplet-based high-throughput single microbe RNA sequencing by smRandom-seq

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2023 cited by 99

  12. VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

    Authors: , , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 cited by 36

  13. FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices

    Authors: , , , , - Conference on Mobile Computing and Networking, MobiCom 2024 cited by 35

  14. A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. indica )

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jianping Liu, Jianping Liu, Qiuhui Qi, Li Li, Tao Li, Tao Li, Xuegang Wang, Tingting Wu, Tingting Wu, Miao Zhu, Peixiang Ni, Hua Han, Wei Dong, Xiaoli Feng, Xiaoli Feng, Peng Cui, Xianran Li, Hao Wang, Xin Xu, Xu Zhao, Zhao Xu, Jinsong Zhang, Sijie He, Jianguo Zhang, Jichen Xu, Xianwu Zheng, Xianwu Zheng, Jianhai Dong, Wanyong Zeng, Lin Tao, Ye Jia, Jun Tan, Xuewei Chen, Jun He, Jun He, Daofeng Liu, Chaoguang Tian, Chaoguang Tian, Hongai Xia, Qiyu Bao, Gang Li, Ting Cao, Ting Cao, Juan Wang, Juan Wang, Wenming Zhao, Ping Li, Wei Chen, Xudong Wang, Yong Zhang, Jianfei Hu, Jian Yang, Jing Wang, Song Liu, Jian Yang, Guangyu Zhang, Yuqing Xiong, Zhijie Li, Long Mao, Chengshu Zhou, Zhen Zhu, Runsheng Chen, Bailin Hao, Zheng Weimou, Shouyi Chen, Wei Guo, Guojie Li, Siqi Liu, Ming Tao, Huanming Yang - Science 2002 cited by 4,272

  15. Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment

    Authors: , , , , , , , - arXiv (Cornell University), CoRR 2025 cited by 33

  16. A review of road extraction from remote sensing images

    Authors: , , , , , - Journal of Traffic and Transportation Engineering (English Edition) 2016 cited by 295

  17. Endoplasmic Reticulum Stress and Oxidative Stress in Inflammatory Diseases

    Authors: , , , , , , , , - DNA and Cell Biology 2022 cited by 69

  18. T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge

    Authors: , , , , , , - Twentieth European Conference on Computer Systems, EuroSys 2025 cited by 25

  19. Wearable Sensor-Based Human Activity Recognition Using Hybrid Deep Learning Techniques

    Authors: , , , , , , , , - Security and Communication Networks, Secur. Commun. Networks 2020 cited by 123

  20. Intracellular miRNA Imaging Based on a Self-Powered and Self-Feedback Entropy-Driven Catalyst–DNAzyme Circuit

    Authors: , , , , , , , , - ACS Applied Materials & Interfaces 2022 cited by 69

  21. NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

    Authors: , , , , , , , - Conference on Mobile Systems, MobiSys 2023 cited by 26

  22. Colorectal cancer (CRC) as a multifactorial disease and its causal correlations with multiple signaling pathways

    Authors: , , , , , , , , , - Bioscience Reports 2020 cited by 116

  23. Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

    Authors: , , , , , , - ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) 2024 cited by 36

  24. ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores

    Authors: , , , , , , , , , - SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, PPoPP 2024 cited by 22