Yanqi Chen

1.1k total citations · 2 hit papers
6 papers, 553 citations indexed

About

Yanqi Chen is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yanqi Chen has authored 6 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Cognitive Neuroscience and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Yanqi Chen's work include Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (1 paper). Yanqi Chen is often cited by papers focused on Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neural Engineering (1 paper). Yanqi Chen collaborates with scholars based in China, France and Singapore. Yanqi Chen's co-authors include Yonghong Tian, Timothée Masquelier, Zhaofei Yu, Wei Fang, Tiejun Huang, Huihui Zhou, Wei Fang, Jianhao Ding, Guoqi Li and Liwei Huang and has published in prestigious journals such as Science Advances, International Journal of Heat and Mass Transfer and Frontiers in Neuroscience.

In The Last Decade

Yanqi Chen

6 papers receiving 541 citations

Hit Papers

align trajectories

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.

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

2021 356 citations Wei Fang, Zhaofei Yu et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

2023 159 citations Wei Fang, Yanqi Chen et al. Science Advances profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yanqi Chen China	5	451	302	207	60	29	6	553
Aaron R. Voelker Canada	9	478 1.1×	324 1.1×	252 1.2×	140 2.3×	27 0.9×	18	642
Bill Kay United States	10	643 1.4×	162 0.5×	333 1.6×	166 2.8×	16 0.6×	29	812
Jeff Kusnitz United States	2	476 1.1×	254 0.8×	199 1.0×	85 1.4×	85 2.9×	3	572
Xuhui Huang China	11	285 0.6×	246 0.8×	178 0.9×	68 1.1×	108 3.7×	51	561
Shruti Kulkarni United States	11	755 1.7×	242 0.8×	376 1.8×	206 3.4×	38 1.3×	41	954
Shubha Ramakrishnan United States	11	482 1.1×	147 0.5×	123 0.6×	152 2.5×	13 0.4×	17	564
Stephen J. Weddell New Zealand	11	170 0.4×	147 0.5×	116 0.6×	28 0.5×	51 1.8×	53	426
J. Parker Mitchell United States	13	801 1.8×	256 0.8×	408 2.0×	189 3.1×	23 0.8×	31	981
Morteza Hosseini United States	10	446 1.0×	170 0.6×	223 1.1×	144 2.4×	71 2.4×	19	607

Countries citing papers authored by Yanqi Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yanqi Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanqi Chen

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Zhou, Zhaokun, Zhengyu Ma, Wei Fang, et al.. (2024). Auto-Spikformer: Spikformer architecture search. Frontiers in Neuroscience. 18. 1372257–1372257. 10 indexed citations

2.

Fang, Wei, Yanqi Chen, Jianhao Ding, et al.. (2023). SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. Science Advances. 9(40). eadi1480–eadi1480. 159 indexed citations breakdown →

3.

Fang, Wei, Zhaofei Yu, Yanqi Chen, et al.. (2021). Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2641–2651. 356 indexed citations breakdown →

4.

Fang, Wei, Zhaofei Yu, Yanqi Chen, et al.. (2020). Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. arXiv (Cornell University). 2661–2671. 2 indexed citations

5.

Chen, Yanqi, et al.. (2018). Structural effects in partially-wetting thin evaporating liquid films near the contact line. International Journal of Heat and Mass Transfer. 132. 420–430. 10 indexed citations

6.

Zhao, Liyun, Xuewen Wang, Zhepeng Zhang, et al.. (2017). Surface State Mediated Interlayer Excitons in a 2D Nonlayered–Layered Semiconductor Heterojunction. Advanced Electronic Materials. 3(12). 16 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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