Sai Ma

1.2k total citations
30 papers, 915 citations indexed

About

Sai Ma is a scholar working on Control and Systems Engineering, Cognitive Neuroscience and Mechanics of Materials. According to data from OpenAlex, Sai Ma has authored 30 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 8 papers in Cognitive Neuroscience and 6 papers in Mechanics of Materials. Recurrent topics in Sai Ma's work include Machine Fault Diagnosis Techniques (11 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (7 papers). Sai Ma is often cited by papers focused on Machine Fault Diagnosis Techniques (11 papers), Neural dynamics and brain function (8 papers) and Functional Brain Connectivity Studies (7 papers). Sai Ma collaborates with scholars based in China, United States and Norway. Sai Ma's co-authors include Fulei Chu, Tülay Adalı, Vince D. Calhoun, Qinkai Han, Ronald Phlypo, Tom Eichele, Nicolle Correa, Wei Du, Xi-Lin Li and Tianyang Wang and has published in prestigious journals such as Blood, Renewable and Sustainable Energy Reviews and NeuroImage.

In The Last Decade

Sai Ma

26 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sai Ma China 12 404 286 191 168 105 30 915
Sumair Aziz Pakistan 22 286 0.7× 163 0.6× 93 0.5× 59 0.4× 162 1.5× 108 1.3k
Jinwei Sun China 15 218 0.5× 91 0.3× 64 0.3× 45 0.3× 97 0.9× 69 622
Abhay Upadhyay India 15 578 1.4× 137 0.5× 75 0.4× 45 0.3× 327 3.1× 51 1.1k
Fabio La Foresta Italy 18 743 1.8× 115 0.4× 38 0.2× 90 0.5× 423 4.0× 58 1.3k
Cataldo Guaragnella Italy 15 119 0.3× 41 0.1× 70 0.4× 89 0.5× 59 0.6× 86 1.0k
Bin Yao China 12 260 0.6× 124 0.4× 28 0.1× 192 1.1× 62 0.6× 34 822
Weihang Zhang China 13 223 0.6× 51 0.2× 111 0.6× 34 0.2× 36 0.3× 46 681
Zeming Fan China 14 326 0.8× 71 0.2× 29 0.2× 166 1.0× 101 1.0× 44 826
Ahmed Ben Hamida Tunisia 16 137 0.3× 104 0.4× 176 0.9× 55 0.3× 154 1.5× 142 1.0k
Mostafa Rostaghi Iran 9 218 0.5× 537 1.9× 15 0.1× 284 1.7× 160 1.5× 12 1.1k

Countries citing papers authored by Sai Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Ma. A scholar is included among the top collaborators of Sai 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 Sai Ma. Sai 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, Sai, et al.. (2025). Deep sequential adaptive reinforcement learning for manufacturing process optimization. Advanced Engineering Informatics. 66. 103456–103456.
2.
Ma, Sai, et al.. (2025). Deep spiking transfer learning for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing. 241. 113499–113499.
3.
Ma, Sai, et al.. (2025). Deep Transfer Learning With Generalized Distribution Matching Measure for Rotating Machinery Fault Diagnosis. IEEE Transactions on Industrial Informatics. 21(4). 3515–3524. 2 indexed citations
4.
5.
6.
Fu, Yue, Minran Zhou, Huimin Feng, et al.. (2024). Pan-cancer investigation of RFX family and associated genes identifies RFX8 as a therapeutic target in leukemia. Heliyon. 10(15). e35368–e35368. 2 indexed citations
7.
Liu, Zhenyi, Xiaohan Liu, Qing H. Meng, et al.. (2024). Real-World Results of Brentuximab Vedotin Containing Regimens in CD30 Positive Lymphoma: A Single-Center Retrospective Study. Blood. 144(Supplement 1). 6529–6529.
8.
Ma, Sai, et al.. (2024). Deep Contrastive Transfer Learning for Rotating Machinery Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–10. 5 indexed citations
9.
Ma, Sai, Qinkai Han, & Fulei Chu. (2023). Sparse representation learning for fault feature extraction and diagnosis of rotating machinery. Expert Systems with Applications. 232. 120858–120858. 34 indexed citations
10.
Ma, Sai, et al.. (2023). Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis. Engineering Applications of Artificial Intelligence. 126. 106996–106996. 11 indexed citations
11.
Zhou, Minran, et al.. (2023). Histone demethylase PHF8 facilitates the development of chronic myeloid leukaemia by directly targeting BCR::ABL1. British Journal of Haematology. 202(6). 1178–1191. 3 indexed citations
12.
Gao, Zhen, et al.. (2022). The new mitochondrial uncoupler BAM15 induces ROS production for treatment of acute myeloid leukemia. Biochemical Pharmacology. 198. 114948–114948. 10 indexed citations
13.
Ma, Sai, et al.. (2022). Unified Sparse Time–Frequency Analysis: Decomposition, Transformation, and Reassignment. IEEE Transactions on Industrial Informatics. 18(11). 7675–7685. 9 indexed citations
14.
Ma, Sai, et al.. (2022). Unified discriminant manifold learning for rotating machinery fault diagnosis. Journal of Intelligent Manufacturing. 34(8). 3483–3494. 9 indexed citations
15.
Westlake, Kelly P., et al.. (2014). Capturing subject variability in data driven fMRI analysis: A graph theoretical comparison. 1–6. 6 indexed citations
16.
Ma, Sai, Vince D. Calhoun, Ronald Phlypo, & Tülay Adalı. (2014). Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis. NeuroImage. 90. 196–206. 143 indexed citations
17.
Ma, Sai, Ronald Phlypo, Vince D. Calhoun, & Tülay Adalı. (2013). Capturing group variability using IVA: A simulation study and graph-theoretical analysis. SPIRE - Sciences Po Institutional REpository. 3128–3132. 34 indexed citations
18.
Ma, Sai, Vince D. Calhoun, Tom Eichele, Wei Du, & Tülay Adalı. (2012). Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest. NeuroImage. 62(3). 1694–1704. 61 indexed citations
19.
Du, Wei, Vince D. Calhoun, Hualiang Li, et al.. (2012). High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data. Frontiers in Human Neuroscience. 6. 145–145. 81 indexed citations
20.
Ma, Sai, Xi-Lin Li, Nicolle Correa, Tülay Adalı, & Vince D. Calhoun. (2010). Independent subspace analysis with prior information for fMRI data. 1922–1925. 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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