De Ma

988 citations

48 papers · 634 · h-index 14

Impact in

Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Electrical and Electronic Engineering top 10%
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors

Papers in

Electrical and Electronic Engineering 30
- Advanced Memory and Neural Computing 26
- Ferroelectric and Negative Capacitance Devices 8
Cognitive Neuroscience 14
- Neural dynamics and brain function 14

Co-authors: Gang Pan (20 shared papers)Xiaolei Zhu (8 shared papers)Zonghua Gu (5 shared papers)Huajin Tang (9 shared papers)Qi Xu (3 shared papers)Xiaoqiang Xu (2 shared papers)Ming Zhang (4 shared papers)Qianhui Liu (3 shared papers)
Journals: Neurocomputing (2 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2 papers)IEEE Access (2 papers)IEEE Transactions on Cognitive and Developmental Systems (2 papers)Neural Networks (2 papers)
Partner nations: China Singapore United States

In The Last Decade

De Ma

41 papers receiving 615 citations

Peers

Countries citing papers authored by De Ma

Since Specialization

Citations

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

Fields of papers citing papers by De Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside De Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with De Ma Line = papers co-authored together De Ma links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Darwin: A neuromorphic hardware co-processor based on spiking neural networks Journal of Systems Architecture ·De Ma, Juncheng Shen, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan	2017	117
2	Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks Science China Information Sciences ·Juncheng Shen, De Ma, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan	2015	68
3	Event-based Action Recognition Using Motion Information and Spiking Neural Networks Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan	2021	52
4	Phosphatidylserine-microbubble targeting-activated microglia/macrophage in inflammation combined with ultrasound for breaking through the blood–brain barrier Journal of Neuroinflammation ·Ranran Zhao, Jie Jiang, Huiwen Li, Min Chen, Renfa Liu, Sujuan Sun, De Ma, Xiaolong Liang, Shumin Wang	2018	40
5	A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function IEEE Transactions on Industrial Electronics ·Zhe Pan, Zonghua Gu, Xiaohong Jiang, Guoquan Zhu, De Ma	2022	32
6	Relative ordering learning in spiking neural network for pattern recognition Neurocomputing ·Zhitao Lin, De Ma, Jianyi Meng, Linna Chen	2017	31
7	Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan	2022	30
8	Effect of post-annealing treatments on the properties of Zn1−xCdxO films on glass substrates Materials Science and Engineering B ·De Ma, Zheyu Ye, Jingyun Huang, Li Zhu, Binghui Zhao, Jun He	2004	29
9	Darwin3: a large-scale neuromorphic chip with a novel ISA and on-chip learning National Science Review ·De Ma, Xiaofei Jin, Shichun Sun, Yitao Li, Xundong Wu, Youneng Hu, Fangchao Yang, Huajin Tang, Xiaolei Zhu, Peng Lin, Gang Pan	2024	27
10	TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications IEEE Access ·Juncheng Shen, Xiaolei Zhu, De Ma	2019	25
11	Scalable NoC-based Neuromorphic Hardware Learning and Inference Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu	2018	23
12	Bio-plausible reconfigurable spiking neuron for neuromorphic computing Science Advances ·(unknown), Y. F. Liu, Bihua Zhang, Peng Chen, Huaze Zhu, Enhui He, Jiayi Zhao, Wenju Huo, Xiaofei Jin, Xumeng Zhang, Hao Jiang, De Ma, Qian Zheng, Huajin Tang, Peng Lin, Wei Kong, Gang Pan	2025	20
13	An Efficient Learning Algorithm for Direct Training Deep Spiking Neural Networks IEEE Transactions on Cognitive and Developmental Systems ·Xiaolei Zhu, Baixin Zhao, De Ma, Huajin Tang	2021	18
14	Efficient Spiking Neural Networks With Logarithmic Temporal Coding IEEE Access ·Ming Zhang, Zonghua Gu, Nenggan Zheng, De Ma, Gang Pan	2020	15
15	Hardware Implementation of Softmax Function Based on Piecewise LUT Xiao Dong, Xiaolei Zhu, De Ma	2019	11
16	Efficient spiking neural network design via neural architecture search Neural Networks ·Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan	2024	11
17	Quantisation and pooling method for low‐inference‐latency spiking neural networks Electronics Letters ·Zhitao Lin, Juncheng Shen, De Ma, Jianyi Meng	2017	10
18	R-SNN: Region-Based Spiking Neural Network for Object Detection IEEE Transactions on Cognitive and Developmental Systems ·Xiaobo Jin, Ming Zhang, Rui Yan, Gang Pan, De Ma	2023	9
19	A Q-routing based self-regulated routing scheme for network-on-chip Yande Xiang, Jianyi Meng, De Ma	2017	8
20	RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing Qi Xu, Xuanye Fang, Yaxin Li, Jiangrong Shen, De Ma, Yi Xu, Gang Pan	2024	7

About De Ma

De Ma is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 48 papers that have together received 634 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Neural dynamics and brain function (14 papers), Ferroelectric and Negative Capacitance Devices (8 papers), Neural Networks and Applications (6 papers), Parallel Computing and Optimization Techniques (6 papers), Embedded Systems Design Techniques (5 papers), Photoreceptor and optogenetics research (5 papers) and Interconnection Networks and Systems (5 papers). The work is most often cited by research in Cognitive Neuroscience (220 citations), Electrical and Electronic Engineering (432 citations), Artificial Intelligence (204 citations), Cellular and Molecular Neuroscience (99 citations) and Hardware and Architecture (22 citations). De Ma has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Gang Pan, Xiaolei Zhu, Zonghua Gu, Huajin Tang, Qi Xu, Xiaoqiang Xu, Ming Zhang, Qianhui Liu, Jianyi Meng and Zhitao Lin. Their work appears in journals such as Neurocomputing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Access, IEEE Transactions on Cognitive and Developmental Systems and Neural Networks.

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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De Ma

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About De Ma

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