Guoqi Li

14.0k total citations · 8 hit papers
245 papers, 8.5k citations indexed

About

Guoqi Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Guoqi Li has authored 245 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Electrical and Electronic Engineering, 65 papers in Artificial Intelligence and 46 papers in Cognitive Neuroscience. Recurrent topics in Guoqi Li's work include Advanced Memory and Neural Computing (64 papers), Neural dynamics and brain function (38 papers) and Ferroelectric and Negative Capacitance Devices (30 papers). Guoqi Li is often cited by papers focused on Advanced Memory and Neural Computing (64 papers), Neural dynamics and brain function (38 papers) and Ferroelectric and Negative Capacitance Devices (30 papers). Guoqi Li collaborates with scholars based in China, Singapore and United States. Guoqi Li's co-authors include Lei Deng, Luping Shi, Yujie Wu, Yuan Xie, Changyun Wen, Jun Zhu, Jiangshuai Huang, Wei Wang, Song Han and Yifan Hu and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Guoqi Li

235 papers receiving 8.3k citations

Hit Papers

Spatio-Temporal Backpropagation for Training High-Perform... 2018 2026 2020 2023 2018 2020 2019 2021 2022 200 400 600
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. Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks
    2018 722 citations Yujie Wu, Lei Deng et al. profile →
  2. Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
    2020 589 citations Lei Deng, Guoqi Li et al. Proceedings of the IEEE profile →
  3. Direct Training for Spiking Neural Networks: Faster, Larger, Better
    2019 433 citations Yujie Wu, Lei Deng et al. profile →
  4. Going Deeper With Directly-Trained Larger Spiking Neural Networks
    2021 291 citations Yujie Wu, Lei Deng et al. profile →
  5. Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
    2022 198 citations Guoqi Li et al. profile →
  6. SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
    2023 159 citations Guoqi Li, Yonghong Tian et al. profile →
  7. Attention Spiking Neural Networks
    2023 122 citations Man Yao, Guangshe Zhao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
  8. Advancing Spiking Neural Networks Toward Deep Residual Learning
    2024 55 citations Yifan Hu, Lei Deng et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guoqi Li China 46 4.1k 2.3k 2.3k 1.2k 1.0k 245 8.5k
Jiang Wang China 45 2.0k 0.5× 1.2k 0.5× 4.2k 1.9× 539 0.5× 1.4k 1.4× 573 9.7k
T.M. McGinnity United Kingdom 37 1.5k 0.4× 1.6k 0.7× 1.9k 0.8× 566 0.5× 726 0.7× 308 5.5k
Lidan Wang China 45 3.1k 0.8× 1.4k 0.6× 831 0.4× 844 0.7× 957 0.9× 348 7.1k
Justin Dauwels Singapore 40 894 0.2× 934 0.4× 3.3k 1.5× 637 0.5× 914 0.9× 267 7.0k
George Vachtsevanos United States 43 1.2k 0.3× 1.4k 0.6× 1.3k 0.6× 732 0.6× 352 0.3× 321 8.7k
Amit Konar India 40 721 0.2× 3.5k 1.5× 1.2k 0.5× 1.3k 1.1× 390 0.4× 366 6.9k
Gang Pan China 42 1.5k 0.4× 1.0k 0.5× 1.3k 0.6× 1.4k 1.2× 427 0.4× 359 6.7k
Badong Chen China 56 1.8k 0.4× 3.8k 1.7× 790 0.3× 2.5k 2.1× 162 0.2× 462 12.8k
Kenneth A. Loparo United States 50 2.1k 0.5× 991 0.4× 1.2k 0.5× 246 0.2× 441 0.4× 359 8.8k
Deniz Erdoğmuş United States 46 572 0.1× 1.8k 0.8× 2.1k 0.9× 1.3k 1.1× 667 0.7× 413 7.3k

Countries citing papers authored by Guoqi Li

Since Specialization
Citations

This map shows the geographic impact of Guoqi Li'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 Guoqi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoqi Li more than expected).

Fields of papers citing papers by Guoqi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guoqi Li. A scholar is included among the top collaborators of Guoqi Li 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 Guoqi Li. Guoqi Li 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.
Li, Guoqi, et al.. (2025). AuthSim: Toward Authentic and Effective Safety-Critical Scenario Generation for Autonomous Driving Tests. IEEE Transactions on Intelligent Transportation Systems. 26(10). 16128–16143.
2.
Li, Guoqi, et al.. (2024). Sufficient control of complex networks. Physica A Statistical Mechanics and its Applications. 642. 129751–129751. 2 indexed citations
3.
Li, Guoqi, Lei Deng, Huajin Tang, et al.. (2024). Brain-Inspired Computing: A Systematic Survey and Future Trends. Proceedings of the IEEE. 112(6). 544–584. 25 indexed citations
4.
Yao, Man, et al.. (2024). Spatial–Temporal Spiking Feature Pruning in Spiking Transformer. IEEE Transactions on Cognitive and Developmental Systems. 17(3). 644–658. 2 indexed citations
5.
6.
Ren, Rui, et al.. (2023). 2D, 3D-QSAR study and docking of vascular endothelial growth factor receptor 3 (VEGFR3) inhibitors for potential treatment of retinoblastoma. Frontiers in Pharmacology. 14. 1177282–1177282. 2 indexed citations
7.
Yao, Man, Guangshe Zhao, Xiyu Zhang, et al.. (2023). Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition. Neural Networks. 166. 410–423. 16 indexed citations
8.
You, Kaichao, Weihua He, Yaoyuan Wang, et al.. (2023). Event-Based Semantic Segmentation With Posterior Attention. IEEE Transactions on Image Processing. 32. 1829–1842. 20 indexed citations
9.
Yan, Tianyi, Gongshu Wang, Tiantian Liu, et al.. (2023). Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2688–2697. 14 indexed citations
10.
Lin, Yihan, et al.. (2022). Rethinking Pretraining as a Bridge From ANNs to SNNs. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9054–9067. 11 indexed citations
11.
Deng, Lei, Yujie Wu, Yifan Hu, et al.. (2021). Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Transactions on Neural Networks and Learning Systems. 34(6). 2791–2805. 58 indexed citations
12.
Liang, Ling, Lei Deng, Mingyu Yan, et al.. (2021). Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE Journal of Selected Topics in Signal Processing. 15(3). 574–586. 5 indexed citations
13.
Chen, Zhaodong, et al.. (2020). A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(1). 13–31. 26 indexed citations
14.
Zhou, Yong, et al.. (2019). Robust Task-Oriented Markerless Extrinsic Calibration for Robotic Pick-and-Place Scenarios. IEEE Access. 7. 127932–127942. 8 indexed citations
15.
Ding, Jie, Changyun Wen, Guoqi Li, Xulei Yang, & Tianjiang Hu. (2019). Sparsity-Inspired Optimal Topology Control of Complex Networks. IEEE Transactions on Network Science and Engineering. 7(3). 1825–1839. 7 indexed citations
16.
Hao, Yukun, Tianshu Wang, Guoqi Li, & Changyun Wen. (2019). Linear Quadratic Optimal Control of Time-Invariant Linear Networks With Selectable Input Matrix. IEEE Transactions on Cybernetics. 51(9). 4743–4754. 5 indexed citations
17.
Ding, Jie, Changyun Wen, Guoqi Li, & Zhenghua Chen. (2019). Key Nodes Selection in Controlling Complex Networks via Convex Optimization. IEEE Transactions on Cybernetics. 51(1). 52–63. 7 indexed citations
18.
Wu, Shuang, Guoqi Li, Lei Deng, et al.. (2018). $L1$ -Norm Batch Normalization for Efficient Training of Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 30(7). 2043–2051. 116 indexed citations
19.
Li, Guoqi, Jie Ding, Changyun Wen, Lei Wang, & Fanghong Guo. (2018). Controlling Directed Networks With Evolving Topologies. IEEE Transactions on Control of Network Systems. 6(1). 176–190. 6 indexed citations
20.
Li, Guoqi, Pei Tang, Changyun Wen, & Ziyang Meng. (2016). Boundary Constraints for Minimum Cost Control of Directed Networks. IEEE Transactions on Cybernetics. 47(12). 4196–4207. 17 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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