T. Luo

2.3k total citations · 1 hit paper
26 papers, 364 citations indexed

About

T. Luo is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Luo has authored 26 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 4 papers in Astronomy and Astrophysics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Luo's work include Atmospheric and Environmental Gas Dynamics (4 papers), Climate variability and models (4 papers) and Particle Detector Development and Performance (3 papers). T. Luo is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (4 papers), Climate variability and models (4 papers) and Particle Detector Development and Performance (3 papers). T. Luo collaborates with scholars based in China, United Kingdom and United States. T. Luo's co-authors include Zhi-Qin John Xu Zhi-Qin John Xu, Yanyang Xiao, Mingxuan Wu, Wenxuan Fan, Hunter Brown, Bo Sun, Bing Chen, Xue Wu, Huiyi Yang and Jian Wu and has published in prestigious journals such as Chemical Engineering Journal, Climate Dynamics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

T. Luo

18 papers receiving 351 citations

Hit Papers

Frequency Principle: Fourier Analysis Sheds Light on Deep... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
    2020 263 citations Zhi-Qin John Xu Zhi-Qin John Xu, T. Luo et al. Communications in Computational Physics profile →

Peers

T. Luo
Nikola Kovachki United States
Liang Deng China
N. Benjamin Erichson United States
Zhi-Qin John Xu Zhi-Qin John Xu China
J. Nathan Kutz United States
Hanno Gottschalk Germany
Gang Hu China
Kohei Fujita Japan
Chao Song China
Alex Gorodetsky United States
Nikola Kovachki United States
T. Luo
Citations per year, relative to T. Luo T. Luo (= 1×) peers Nikola Kovachki

Countries citing papers authored by T. Luo

Since Specialization
Citations

This map shows the geographic impact of T. Luo'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 T. Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Luo more than expected).

Fields of papers citing papers by T. Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Luo

This figure shows the co-authorship network connecting the top 25 collaborators of T. Luo. A scholar is included among the top collaborators of T. Luo 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 T. Luo. T. Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Xueliang, T. Luo, Zhen Cui, et al.. (2025). Accelerated Life Test and Prediction of Electromigration in Aluminum Interconnects Coupling Multiphysics Full Coupled Model With Optimized Atomic Flux Divergence Simulation. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(5). 949–958. 1 indexed citations
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Fan, Zhaoyang, T. Luo, Chao Deng, et al.. (2025). Dual-mode synergistic antibacterial films based on photothermal effect and controlled release of cinnamon essential oil microcapsules for food packaging. Chemical Engineering Journal. 519. 165173–165173. 3 indexed citations
5.
Luo, T., Cheng Wang, Dong Wang, et al.. (2025). Cross temporal scale pig face recognition based on deep learning. Journal of Agriculture and Food Research. 21. 102002–102002. 1 indexed citations
6.
Luo, T., Haotian Shi, K. Li, et al.. (2025). Improved hybrid neural network based on CNN-BiLSTM-Attention for co-estimation of SOC and SOE in lithium-ion batteries. Journal of Energy Storage. 131. 117651–117651. 4 indexed citations
7.
Li, Longhui, T. Luo, Y. P. Xu, et al.. (2024). Investigation of the optical performance of microchannel plate (MCP) collimators for the eXTP-LAD telescope. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1070. 170059–170059.
8.
Yang, Yanhui, Yue Niu, T. Luo, et al.. (2024). Correlation between vertebral bone mineral density and multi-level virtual non-calcium imaging parameters from dual-layer spectral detector computed tomography. Quantitative Imaging in Medicine and Surgery. 14(6). 3803–3815. 1 indexed citations
9.
Qi, Liqiang, Yuxuan Zhu, Y. P. Xu, et al.. (2024). Study of the relationship between metrological characterization and angular resolution in grazing-incidence X-ray optics. Experimental Astronomy. 58(2).
10.
Zhao, Zijian, T. Luo, M. Feroci, et al.. (2024). Characterization of the eXTP-LAD collimators. Experimental Astronomy. 57(3). 1 indexed citations
11.
Zhang, Mingjie, Bing Chen, Xue Wu, et al.. (2023). Anthropogenic heat due to energy consumption contributes to cooler and wetter summers in Southwest China. Frontiers in Earth Science. 11. 1 indexed citations
12.
Chen, Bing, Chenglai Wu, Huiyi Yang, et al.. (2023). Anthropogenic heat release due to energy consumption exacerbates European summer extreme high temperature. Climate Dynamics. 61(7-8). 3831–3843. 3 indexed citations
13.
Hsia, Chih-Hao, et al.. (2023). A Morphological Study of Two Young Multipolar Planetary Nebulae. Research in Astronomy and Astrophysics. 23(3). 35018–35018. 1 indexed citations
14.
Tan, Ying, Xue-Lei Cao, Weichun Jiang, et al.. (2023). In-orbit performance of ME onboard Insight-HXMT in the first 5 years. Radiation Detection Technology and Methods.
15.
Yan, Fang, et al.. (2023). Study of parity violation in and decays*. Chinese Physics C. 47(5). 53101–53101. 4 indexed citations
16.
Zhang, Zhao, et al.. (2022). Embedding Principle: A Hierarchical Structure of Loss Landscape of Deep Neural Networks. 1(1). 60–113. 6 indexed citations
17.
Luo, T., et al.. (2022). MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs. Communications in Computational Physics. 32(2). 299–335. 17 indexed citations
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Luo, T., et al.. (2021). Theory of the Frequency Principle for General Deep Neural Networks. 2(3). 484–507. 22 indexed citations
20.
Chen, Bing, Chenglai Wu, Xiaohong Liu, et al.. (2018). Seasonal climatic effects and feedbacks of anthropogenic heat release due to global energy consumption with CAM5. Climate Dynamics. 52(11). 6377–6390. 24 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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