Guoqi Li

362 total papers · 13.8k total citations
243 papers, 8.3k 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 243 papers receiving a total of 8.3k 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 Guangshe Zhao and has published in prestigious journals such as Nature, Advanced Materials and Nature Communications.

In The Last Decade

Guoqi Li

234 papers receiving 8.1k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

2018 703 citations Yujie Wu, Lei Deng et al. Frontiers in Neuroscience profile →
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

2020 576 citations Lei Deng, Guoqi Li et al. Proceedings of the IEEE profile →
Direct Training for Spiking Neural Networks: Faster, Larger, Better

2019 425 citations Yujie Wu, Lei Deng et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Going Deeper With Directly-Trained Larger Spiking Neural Networks

2021 279 citations Hanle Zheng, Yujie Wu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

2022 192 citations Yu Du, Fangyun Wei et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

2023 148 citations Wei Fang, Yanqi Chen et al. Science Advances profile →
Attention Spiking Neural Networks

2023 114 citations Man Yao, Guangshe Zhao et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Guoqi Li	4.0k	2.3k	2.2k	1.2k	1.0k	243	8.3k
Jiang Wang	1.9k 0.5×	1.2k 0.5×	4.1k 1.9×	534 0.5×	1.4k 1.4×	570	9.5k
Dongrui Wu	1.1k 0.3×	5.1k 2.3×	2.6k 1.2×	767 0.7×	599 0.6×	259	10.4k
T.M. McGinnity	1.5k 0.4×	1.6k 0.7×	1.9k 0.8×	565 0.5×	725 0.7×	307	5.5k
Frank Hutter	996 0.3×	5.0k 2.2×	2.1k 1.0×	1.4k 1.2×	639 0.6×	110	10.0k
Justin Dauwels	894 0.2×	927 0.4×	3.3k 1.5×	633 0.5×	911 0.9×	266	6.9k
Lidan Wang	3.1k 0.8×	1.4k 0.6×	821 0.4×	833 0.7×	948 0.9×	344	7.0k
George Vachtsevanos	1.1k 0.3×	1.4k 0.6×	1.3k 0.6×	730 0.6×	352 0.3×	321	8.7k
Chunhua Wang	4.3k 1.1×	2.2k 1.0×	1.8k 0.8×	2.9k 2.5×	497 0.5×	406	10.9k
Amit Konar	720 0.2×	3.5k 1.5×	1.2k 0.5×	1.3k 1.1×	389 0.4×	366	6.9k
Mamun Bin Ibne Reaz	1.7k 0.4×	1.7k 0.7×	1.5k 0.7×	771 0.7×	603 0.6×	364	8.1k

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

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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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