Guixiang Ma

1.0k total citations
35 papers, 551 citations indexed

About

Guixiang Ma is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guixiang Ma has authored 35 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Cognitive Neuroscience and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guixiang Ma's work include Advanced Graph Neural Networks (12 papers), Functional Brain Connectivity Studies (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Guixiang Ma is often cited by papers focused on Advanced Graph Neural Networks (12 papers), Functional Brain Connectivity Studies (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Guixiang Ma collaborates with scholars based in United States, China and Australia. Guixiang Ma's co-authors include Philip S. Yu, Nesreen K. Ahmed, Theodore L. Willke, Lifang He, Ann Ragin, Xi Zhang, Jiaqi Zheng, Chun-Ta Lu, Liang Zhan and Sihong Xie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Pattern Recognition.

In The Last Decade

Guixiang Ma

32 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guixiang Ma United States 16 330 123 102 100 85 35 551
Bokai Cao United States 15 447 1.4× 177 1.4× 118 1.2× 133 1.3× 78 0.9× 32 700
Abhishek Mallik India 12 220 0.7× 47 0.4× 96 0.9× 151 1.5× 36 0.4× 19 464
Hye-Kyoung Lee South Korea 7 106 0.3× 144 1.2× 14 0.1× 41 0.4× 186 2.2× 14 604
Haojie Lin China 6 219 0.7× 224 1.8× 36 0.4× 57 0.6× 19 0.2× 21 484
LinChih-Jen 7 287 0.9× 191 1.6× 71 0.7× 28 0.3× 25 0.3× 10 518
Duncan A. J. Blythe Germany 9 642 1.9× 62 0.5× 86 0.8× 15 0.1× 99 1.2× 14 852
Linlin Zong China 13 474 1.4× 613 5.0× 73 0.7× 53 0.5× 10 0.1× 41 868

Countries citing papers authored by Guixiang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Guixiang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guixiang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Guixiang Ma. A scholar is included among the top collaborators of Guixiang 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 Guixiang Ma. Guixiang Ma 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.
Ma, Guixiang, et al.. (2023). Line graph contrastive learning for link prediction. Pattern Recognition. 140. 109537–109537. 20 indexed citations
2.
Gong, Jibing, et al.. (2023). Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognition. 145. 109884–109884. 19 indexed citations
3.
Ma, Guixiang, Vy A. Vo, Theodore L. Willke, & Nesreen K. Ahmed. (2023). Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Transactions on Artificial Intelligence. 5(5). 2011–2025. 1 indexed citations
4.
Ma, Guixiang, Yanfu Zhang, Kai Ye, et al.. (2023). A comprehensive survey of complex brain network representation. SHILAP Revista de lepidopterología. 1(3). 100046–100046. 13 indexed citations
5.
Ma, Guixiang, Vy A. Vo, Theodore L. Willke, & Nesreen K. Ahmed. (2023). Augmenting Recurrent Graph Neural Networks with a Cache. 1608–1619. 2 indexed citations
6.
Jia, Haozhe, Guixiang Ma, Weidong Cai, et al.. (2023). A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Computers in Biology and Medicine. 155. 106698–106698. 18 indexed citations
7.
Liu, Li, Zongyi Chen, Guixiang Ma, et al.. (2023). Explainable survival analysis with uncertainty using convolution-involved vision transformer. Computerized Medical Imaging and Graphics. 110. 102302–102302. 6 indexed citations
8.
Jiang, Zhongyuan, et al.. (2023). MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity. IEICE Transactions on Information and Systems. E106.D(5). 697–706.
9.
10.
Ma, Guixiang, et al.. (2022). Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7363–7375. 24 indexed citations
11.
Ma, Guixiang, et al.. (2021). A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. 3. 550–568. 3 indexed citations
12.
Hu, Shengqiang, et al.. (2021). A gas-pressure-assisted ratiometric atomic flame assay for the point-of-care testing of tumor-cell-derived exosomes. The Analyst. 147(1). 48–54. 5 indexed citations
13.
Chen, Chao, Guixiang Ma, Xiangnan Kong, et al.. (2021). Self-learn to Explain Siamese Networks Robustly. 1018–1023. 2 indexed citations
14.
Ma, Guixiang, Mihai Capotă, Theodore L. Willke, et al.. (2021). Learning Code Representations Using Multifractal-based Graph Networks. 2021 IEEE International Conference on Big Data (Big Data). 1858–1866. 3 indexed citations
15.
16.
Ma, Guixiang, Nesreen K. Ahmed, Theodore L. Willke, et al.. (2019). Deep Graph Similarity Learning for Brain Data Analysis. 2743–2751. 33 indexed citations
17.
Xu, Wei, et al.. (2019). Peritoneal dialysis catheter insertion using a very-low-site approach: a 5-year experience. International Urology and Nephrology. 51(6). 1053–1058. 3 indexed citations
18.
Ma, Guixiang, et al.. (2018). Securing Behavior-based Opinion Spam Detection. 112–117. 9 indexed citations
19.
Ma, Guixiang, Lifang He, Chun-Ta Lu, et al.. (2017). Multi-view Clustering with Graph Embedding for Connectome Analysis. 35 indexed citations
20.
Ma, Guixiang, et al.. (2016). Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. 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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