Ting Ma

1.1k total citations
83 papers, 657 citations indexed

About

Ting Ma is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ting Ma has authored 83 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 22 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ting Ma's work include Functional Brain Connectivity Studies (18 papers), EEG and Brain-Computer Interfaces (13 papers) and Medical Image Segmentation Techniques (12 papers). Ting Ma is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), EEG and Brain-Computer Interfaces (13 papers) and Medical Image Segmentation Techniques (12 papers). Ting Ma collaborates with scholars based in China, United States and Hong Kong. Ting Ma's co-authors include Chenfei Ye, Yanwu Yang, Susumu Mori, Tong Wang, Piu Chan, Haiyan Lv, Dan Wu, Xutao Guo, Michael I. Miller and Yang Xiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Ting Ma

74 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Ma China 15 234 194 116 102 86 83 657
Venkateswaran Rajagopalan United States 16 155 0.7× 174 0.9× 281 2.4× 118 1.2× 93 1.1× 42 778
Donghyeon Kim South Korea 14 163 0.7× 94 0.5× 77 0.7× 212 2.1× 48 0.6× 64 483
Hans Olofsen Netherlands 13 166 0.7× 287 1.5× 102 0.9× 117 1.1× 123 1.4× 16 723
Charles Huang United States 12 171 0.7× 294 1.5× 74 0.6× 166 1.6× 198 2.3× 24 880
Ivor Simpson United Kingdom 12 141 0.6× 261 1.3× 60 0.5× 44 0.4× 138 1.6× 25 549
Shengpei Wang China 14 274 1.2× 225 1.2× 42 0.4× 65 0.6× 98 1.1× 41 604
Lotta M. Ellingsen United States 12 116 0.5× 214 1.1× 32 0.3× 83 0.8× 173 2.0× 27 590
Kuo Li China 14 343 1.5× 117 0.6× 88 0.8× 55 0.5× 28 0.3× 46 729
Thomas Potter United States 17 495 2.1× 174 0.9× 85 0.7× 62 0.6× 19 0.2× 52 801
Matteo Fraschini Italy 20 805 3.4× 94 0.5× 97 0.8× 122 1.2× 88 1.0× 65 1.2k

Countries citing papers authored by Ting Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ting Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Ma. A scholar is included among the top collaborators of Ting 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 Ting Ma. Ting 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, Ting, et al.. (2025). Expanding and Interpreting Financial Statement Fraud Detection Using Supply Chain Knowledge Graphs. Journal of theoretical and applied electronic commerce research. 20(1). 26–26. 3 indexed citations
2.
Ma, Ting, et al.. (2025). QRST: A QUIC-Enabled Robust Streaming Transmission Framework for Ultra Large-Scale LEO Satellite Networks. IEEE Internet of Things Journal. 12(11). 17514–17525.
3.
Wang, Saisai, Ting Ma, Jianbo Wu, et al.. (2025). Surface oxygen functionalities on carbon supports modulate Pt stabilization for sustainable acetylene hydrochlorination. Journal of Catalysis. 452. 116410–116410.
4.
5.
Xiang, Yang, et al.. (2025). Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3455–3468.
6.
Guo, Xutao, et al.. (2024). Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. Computers in Biology and Medicine. 180. 108933–108933.
7.
Ngai, Eric W.T., et al.. (2024). A Financial Fraud Prediction Framework Based on Stacking Ensemble Learning. Systems. 12(12). 588–588. 3 indexed citations
8.
Zhou, Haibo, et al.. (2024). Multipath Cooperative Routing in Ultradense LEO Satellite Networks: A Deep-Reinforcement-Learning-Based Approach. IEEE Internet of Things Journal. 12(2). 1789–1804. 3 indexed citations
9.
10.
Ye, Chenfei, et al.. (2024). MRI‐based axis‐referenced morphometric model corresponding to lamellar organization for assessing hippocampal atrophy in dementia. Human Brain Mapping. 45(10). e26715–e26715. 1 indexed citations
11.
Yang, Yanwu, et al.. (2023). CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging. Medical Image Analysis. 89. 102916–102916. 9 indexed citations
12.
13.
Yang, Yanwu, Chenfei Ye, & Ting Ma. (2023). A deep connectome learning network using graph convolution for connectome-disease association study. Neural Networks. 164. 91–104. 18 indexed citations
14.
Jia, Xiuqin, Wentao Fan, Zhijiang Wang, et al.. (2022). Progressive Prefrontal Cortex Dysfunction in Parkinson's Disease With Probable REM Sleep Behavior Disorder: A 3-Year Longitudinal Study. Frontiers in Aging Neuroscience. 13. 750767–750767. 15 indexed citations
15.
Zhou, Weiwei, Jian Qin, F. Liu, et al.. (2021). A green blowing strategy toward massive synthesis of P, N, S-codoped carbon nanosheets incorporated with metal phosphides and the lithium storage application. Materials Today Energy. 21. 100734–100734. 16 indexed citations
16.
Yoon, Joo Heung, et al.. (2020). Development of hemorrhage identification model using non-invasive vital signs. Physiological Measurement. 41(5). 55010–55010. 6 indexed citations
17.
Pinsky, Michael R., et al.. (2020). Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs. Sensors. 20(22). 6558–6558. 6 indexed citations
18.
Shi, Shuo, et al.. (2018). Cuffless blood-pressure estimation method using a heart-rate variability-derived parameter. Physiological Measurement. 39(9). 95002–95002. 14 indexed citations
19.
Ye, Chenfei, Ting Ma, Dan Wu, et al.. (2018). Atlas pre-selection strategies to enhance the efficiency and accuracy of multi-atlas brain segmentation tools. PLoS ONE. 13(7). e0200294–e0200294. 8 indexed citations
20.
Wu, Dan, Ting Ma, Can Ceritoglu, et al.. (2015). Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI. NeuroImage. 125. 120–130. 89 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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