Malu Zhang

2.1k total citations
82 papers, 1.2k citations indexed

About

Malu Zhang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Malu Zhang has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 47 papers in Artificial Intelligence and 44 papers in Cognitive Neuroscience. Recurrent topics in Malu Zhang's work include Advanced Memory and Neural Computing (57 papers), Neural dynamics and brain function (41 papers) and Neural Networks and Reservoir Computing (23 papers). Malu Zhang is often cited by papers focused on Advanced Memory and Neural Computing (57 papers), Neural dynamics and brain function (41 papers) and Neural Networks and Reservoir Computing (23 papers). Malu Zhang collaborates with scholars based in China, Singapore and Hong Kong. Malu Zhang's co-authors include Haizhou Li, Jibin Wu, Kay Chen Tan, Hong Qu, Yansong Chua, Xiurui Xie, Zihan Pan, Guoqi Li, Jiadong Wang and Emre Yılmaz and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Malu Zhang

72 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malu Zhang China 17 824 665 503 138 131 82 1.2k
Aboozar Taherkhani United Kingdom 11 413 0.5× 277 0.4× 329 0.7× 62 0.4× 111 0.8× 26 912
Saeed Reza Kheradpisheh Iran 12 1.4k 1.7× 1.0k 1.5× 673 1.3× 38 0.3× 345 2.6× 27 1.8k
Yichuan Tang United States 12 284 0.3× 407 0.6× 404 0.8× 74 0.5× 123 0.9× 28 1.0k
Saeed Afshar Australia 12 419 0.5× 218 0.3× 751 1.5× 52 0.4× 80 0.6× 39 1.3k
Yoonsuck Choe United States 14 224 0.3× 468 0.7× 306 0.6× 43 0.3× 143 1.1× 108 924
G. Jiménez Spain 20 925 1.1× 440 0.7× 177 0.4× 57 0.4× 483 3.7× 90 1.3k
Nicholas R. Waytowich United States 14 194 0.2× 457 0.7× 151 0.3× 122 0.9× 218 1.7× 44 710
Alexander Andreopoulos United States 13 1.1k 1.3× 524 0.8× 536 1.1× 40 0.3× 216 1.6× 17 1.8k
‎Mohammad Ganjtabesh Iran 12 857 1.0× 681 1.0× 348 0.7× 26 0.2× 251 1.9× 30 1.1k
Uğur Halıcı Türkiye 15 246 0.3× 672 1.0× 250 0.5× 269 1.9× 289 2.2× 69 1.4k

Countries citing papers authored by Malu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Malu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Malu Zhang. A scholar is included among the top collaborators of Malu Zhang 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 Malu Zhang. Malu Zhang 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.
Belatreche, Ammar, et al.. (2025). Ternary spike-based neuromorphic signal processing system. Neural Networks. 187. 107333–107333. 3 indexed citations
2.
Zhang, Jiqing, Malu Zhang, Qianhui Liu, et al.. (2025). Spiking Neural Networks With Adaptive Membrane Time Constant for Event-Based Tracking. IEEE Transactions on Image Processing. 34. 1009–1021. 6 indexed citations
3.
Zhang, Malu, Jibin Wu, Ammar Belatreche, et al.. (2025). Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10143–10155. 2 indexed citations
4.
Sun, Pengfei, Jibin Wu, Malu Zhang, Paul Devos, & Dick Botteldooren. (2024). Delay learning based on temporal coding in Spiking Neural Networks. Neural Networks. 180. 106678–106678. 9 indexed citations
5.
Zhang, Malu, et al.. (2024). A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks. Neural Networks. 174. 106244–106244. 11 indexed citations
6.
7.
Xiao, Yichen, et al.. (2024). Document-level relation extraction with structural encoding and entity-pair-level information interaction. Expert Systems with Applications. 268. 126099–126099. 1 indexed citations
8.
Deng, Haoyu, et al.. (2024). Tensor decomposition based attention module for spiking neural networks. Knowledge-Based Systems. 295. 111780–111780. 2 indexed citations
9.
10.
Du, Huilin, et al.. (2024). Efficient Automatic Modulation Classification in Nonterrestrial Networks With SNN-Based Transformer. IEEE Internet of Things Journal. 12(3). 2562–2573. 3 indexed citations
11.
Chen, Wenyu, et al.. (2023). DPGNN: Dual-perception graph neural network for representation learning. Knowledge-Based Systems. 268. 110377–110377. 8 indexed citations
12.
Xie, Xiurui, Yansong Chua, Guisong Liu, et al.. (2023). Event-Driven Spiking Learning Algorithm Using Aggregated Labels. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17596–17607. 6 indexed citations
13.
Zhang, Yun, Yi Chen, Jilun Zhang, et al.. (2022). Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays. IEEE Transactions on Neural Networks and Learning Systems. 35(5). 7072–7086. 8 indexed citations
14.
Qu, Hong, et al.. (2022). Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10141–10153. 26 indexed citations
15.
Wu, Jibin, Yansong Chua, Malu Zhang, et al.. (2021). A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 34(1). 446–460. 120 indexed citations
16.
Zhang, Yun, et al.. (2021). A new recursive least squares-based learning algorithm for spiking neurons. Neural Networks. 138. 110–125. 10 indexed citations
17.
Zhang, Malu, Jiadong Wang, Zhixuan Zhang, et al.. (2020). Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. arXiv (Cornell University). 15 indexed citations
18.
Pan, Zihan, Yansong Chua, Jibin Wu, et al.. (2020). An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks. Frontiers in Neuroscience. 13. 1420–1420. 31 indexed citations
19.
Wu, Jibin, Yansong Chua, Malu Zhang, et al.. (2019). A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks. arXiv (Cornell University). 11 indexed citations
20.
Wu, Jibin, Zihan Pan, Malu Zhang, et al.. (2019). Robust Sound Recognition: A Neuromorphic Approach.. Conference of the International Speech Communication Association. 3667–3668. 7 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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