Xiu Ma

492 total citations
19 papers, 390 citations indexed

About

Xiu Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xiu Ma has authored 19 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Xiu Ma's work include Advanced Neural Network Applications (9 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Network Security and Intrusion Detection (4 papers). Xiu Ma is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Network Security and Intrusion Detection (4 papers). Xiu Ma collaborates with scholars based in China, Australia and Japan. Xiu Ma's co-authors include Xiangyu Chen, Li Zheng, Jinhui Nie, Zhong Lin Wang, Guangli Li, Xueying Wang, Lei Liu, Xiaobing Feng, Yubo Fan and Xuecheng Qu and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Xiu Ma

17 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiu Ma China	8	255	152	96	68	67	19	390
Hyunsin Park South Korea	9	377 1.5×	115 0.8×	159 1.7×	114 1.7×	96 1.4×	16	659
Xuwei Fan China	7	316 1.2×	184 1.2×	85 0.9×	14 0.2×	30 0.4×	23	435
Byungkook Oh South Korea	12	225 0.9×	75 0.5×	45 0.5×	29 0.4×	120 1.8×	32	461
Trung X. Pham South Korea	10	298 1.2×	84 0.6×	116 1.2×	153 2.3×	96 1.4×	17	573
Jaspreet Kaur India	12	200 0.8×	160 1.1×	58 0.6×	72 1.1×	37 0.6×	58	430
Sunghun Kang South Korea	8	247 1.0×	74 0.5×	96 1.0×	122 1.8×	37 0.6×	11	453
Junyeong Kim South Korea	7	251 1.0×	74 0.5×	97 1.0×	146 2.1×	97 1.4×	23	469
Dong-Wook Lee South Korea	12	158 0.6×	90 0.6×	36 0.4×	44 0.6×	45 0.7×	46	442
Chi Cuong Vu South Korea	13	374 1.5×	163 1.1×	118 1.2×	28 0.4×	15 0.2×	26	444
Sairul Izwan Safie Malaysia	11	166 0.7×	102 0.7×	113 1.2×	68 1.0×	23 0.3×	49	548

Countries citing papers authored by Xiu Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiu Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiu Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiu Ma. A scholar is included among the top collaborators of Xiu Ma 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 Xiu Ma. Xiu Ma 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:

19 of 19 papers shown

Zheng, Beiwen, et al.. (2025). KanIDS: An Intrusion Detection System for All Kernel Interactions Based on Kolmogorov-Arnold Network. 1307–1312.

Ma, Xiu, et al.. (2024). ERCP-Net: a channel extension residual structure and adaptive channel attention mechanism for plant leaf disease classification network. Scientific Reports. 14(1). 4221–4221. 6 indexed citations

Ma, Xiu, et al.. (2023). TGPrint: Attack fingerprint classification on encrypted network traffic based graph convolution attention networks. Computers & Security. 135. 103466–103466. 5 indexed citations

Li, Guangli, et al.. (2023). CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks. Journal of Systems Architecture. 143. 102978–102978. 5 indexed citations

Wang, Xueying, Guangli Li, Xiu Ma, & Xiaobing Feng. (2023). Facilitating hardware-aware neural architecture search with learning-based predictive models. Journal of Systems Architecture. 137. 102838–102838.

Ma, Xiu, et al.. (2023). AttRSeq: Attack story reconstruction via sequence mining on causal graph. 360–364. 1 indexed citations

Li, Guangli, Xiu Ma, Xueying Wang, et al.. (2022). Optimizing deep neural networks on intelligent edge accelerators via flexible-rate filter pruning. Journal of Systems Architecture. 124. 102431–102431. 38 indexed citations

Ma, Xiu, Guangli Li, Lei Liu, Huaxiao Liu, & Xueying Wang. (2022). Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs. Neurocomputing. 505. 375–387. 7 indexed citations

Liu, Lei, Xiu Ma, Huaxiao Liu, & Guangli Li. (2022). FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators. Journal of Computer Science and Technology. 37(5). 1200–1220. 1 indexed citations

10.

Ma, Xiu, et al.. (2022). SeqA-ITD: User Behavior Sequence Augmentation for Insider Threat Detection at Multiple Time Granularities. 2022 International Joint Conference on Neural Networks (IJCNN). 1–7. 6 indexed citations

11.

Ma, Xiu, et al.. (2022). CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 1 indexed citations

12.

Ma, Xiu, Guangli Li, Lei Liu, et al.. (2021). Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices. 390–397. 1 indexed citations

13.

Li, Guangli, Jingling Xue, Lei Liu, et al.. (2021). Unleashing the Low-Precision Computation Potential of Tensor Cores on GPUs. 90–102. 10 indexed citations

14.

Li, Guangli, Xiu Ma, Xueying Wang, et al.. (2020). Fusion-Catalyzed Pruning for Optimizing Deep Learning on Intelligent Edge Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3614–3626. 31 indexed citations

15.

Li, Guangli, Lei Liu, Xueying Wang, Xiu Ma, & Xiaobing Feng. (2020). Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units . 3842–3846. 8 indexed citations

16.

Qu, Xuecheng, Xiu Ma, Bojing Shi, et al.. (2020). Refreshable Braille Display System Based on Triboelectric Nanogenerator and Dielectric Elastomer. Advanced Functional Materials. 31(5). 132 indexed citations

17.

Yu, Qian, Jinhui Nie, Xiu Ma, et al.. (2019). Octopus tentacles inspired triboelectric nanogenerators for harvesting mechanical energy from highly wetted surface. Nano Energy. 60. 493–502. 59 indexed citations

18.

Ma, Xiu, Shuyao Li, Jinhui Nie, et al.. (2019). Regulating the output performance of triboelectric nanogenerator by using P(VDF-TrFE) Langmuir monolayers. Nano Energy. 66. 104090–104090. 45 indexed citations

19.

Zheng, Li, Jinhui Nie, Shuyao Li, et al.. (2019). Dual-Stimulus Smart Actuator and Robot Hand Based on a Vapor-Responsive PDMS Film and Triboelectric Nanogenerator. ACS Applied Materials & Interfaces. 11(45). 42504–42511. 34 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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