Tiefeng Ma

511 total citations
50 papers, 274 citations indexed

About

Tiefeng Ma is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tiefeng Ma has authored 50 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tiefeng Ma's work include Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (12 papers) and Statistical Distribution Estimation and Applications (9 papers). Tiefeng Ma is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (12 papers) and Statistical Distribution Estimation and Applications (9 papers). Tiefeng Ma collaborates with scholars based in China, Australia and Chile. Tiefeng Ma's co-authors include Shuangzhe Liu, Song-Gui Wang, Víctor Leiva, Lin Ma, Milind Sathye, Fei Xia, Chang Tang, Haiyun Liu, Youbo Liu and Youbo Liu and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Tiefeng Ma

42 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiefeng Ma China	10	126	97	37	37	33	50	274
Miguel A. Gómez–Villegas Spain	11	246 2.0×	109 1.1×	45 1.2×	35 0.9×	30 0.9×	30	376
Haeran Cho United Kingdom	10	196 1.6×	101 1.0×	63 1.7×	50 1.4×	26 0.8×	24	438
Peter Radchenko United States	11	295 2.3×	131 1.4×	15 0.4×	53 1.4×	44 1.3×	16	484
Oleg Seleznjev Sweden	11	46 0.4×	52 0.5×	78 2.1×	40 1.1×	30 0.9×	35	274
Ansgar Steland Germany	11	208 1.7×	64 0.7×	74 2.0×	45 1.2×	39 1.2×	72	411
Myoungshic Jhun South Korea	13	368 2.9×	160 1.6×	24 0.6×	44 1.2×	44 1.3×	49	553
Nobuo Shinozaki Japan	13	174 1.4×	68 0.7×	9 0.2×	30 0.8×	21 0.6×	39	397
Pranesh Kumar Canada	12	98 0.8×	57 0.6×	30 0.8×	137 3.7×	8 0.2×	55	372
Aldo Goia Italy	10	368 2.9×	176 1.8×	64 1.7×	132 3.6×	39 1.2×	22	619
V. V. Buldygin Ukraine	8	80 0.6×	77 0.8×	95 2.6×	85 2.3×	16 0.5×	51	447

Countries citing papers authored by Tiefeng Ma

Since Specialization

Citations

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

Fields of papers citing papers by Tiefeng Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiefeng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tiefeng Ma. A scholar is included among the top collaborators of Tiefeng 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 Tiefeng Ma. Tiefeng Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ma, Tiefeng, et al.. (2025). CAM: Causality-driven Adaptive Sparsity and Hierarchical Memory for robust out-of-distribution learning in GNNs. Pattern Recognition. 168. 111812–111812.

Liu, Liu, et al.. (2025). Aggregated center-based clustering algorithm based on principal component radius. Neurocomputing. 624. 129469–129469.

Ma, Tiefeng, et al.. (2024). Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization. Mathematics. 12(21). 3376–3376.

Zhang, Qiang, et al.. (2024). Aggregated demand-side response in residential distribution areas based on tiered incentive prices. Frontiers in Energy Research. 12. 1 indexed citations

Ma, Lin, et al.. (2024). PaVa: A novel path-based valley-seeking clustering algorithm. Information Sciences. 665. 120380–120380. 2 indexed citations

Ma, Tiefeng, et al.. (2023). GriT-DBSCAN: A spatial clustering algorithm for very large databases. Pattern Recognition. 142. 109658–109658. 14 indexed citations

Liu, Shuangzhe, et al.. (2023). Elliptical and Skew-Elliptical Regression Models and Their Applications to Financial Data Analytics. Journal of risk and financial management. 16(7). 310–310.

Liu, Shuangzhe, et al.. (2023). Optimal subsampling algorithms for composite quantile regression in massive data. Statistics. 57(4). 811–843. 2 indexed citations

Liu, Shuangzhe, et al.. (2023). A shape-based multiple segmentation algorithm for change-point detection. Computers & Industrial Engineering. 176. 108986–108986. 2 indexed citations

10.

Wu, Wenqi, et al.. (2023). A Novel Co-Calibration Method for a Dual Heterogeneous Redundant Marine INS. NAVIGATION Journal of the Institute of Navigation. 70(4). navi.620–navi.620. 2 indexed citations

11.

Ma, Tiefeng, et al.. (2023). On Asymmetric Correlations and Their Applications in Financial Markets. Journal of risk and financial management. 16(3). 187–187. 2 indexed citations

12.

Liu, Shuangzhe, et al.. (2022). Distributed Penalized Modal Regression for Massive Data. Journal of Systems Science and Complexity. 36(2). 798–821. 2 indexed citations

13.

Ma, Tiefeng, et al.. (2022). Adaptive grid-based forest-like clustering algorithm. Neurocomputing. 481. 168–181. 14 indexed citations

14.

Liu, Youbo, et al.. (2019). A shape-based cutting and clustering algorithm for multiple change-point detection. Journal of Computational and Applied Mathematics. 369. 112623–112623. 6 indexed citations

15.

Ma, Tiefeng, et al.. (2017). On circular correlation for data on the torus. Statistical Papers. 60(6). 1827–1847. 6 indexed citations

16.

Liu, Shuangzhe, Tiefeng Ma, & Wolfgang Polasek. (2014). Spatial system estimators for panel models: A sensitivity and simulation study. Mathematics and Computers in Simulation. 101. 78–102. 5 indexed citations

17.

Ma, Tiefeng, et al.. (2012). Fast learning rates for sparse quantile regression problem. Neurocomputing. 108. 13–22. 1 indexed citations

18.

Ma, Tiefeng, et al.. (2011). Improved anovae of the covariance matrix in general linear mixed models. Journal of Systems Science and Complexity. 24(1). 176–185. 1 indexed citations

19.

Ma, Tiefeng, et al.. (2009). Generalized confidence intervals for the process capability indices in general random effect model with balanced data. Statistical Papers. 52(1). 153–169. 5 indexed citations

20.

Ma, Tiefeng & Song-Gui Wang. (2008). Estimation of the parameters in a two linear regression equations system with identical parameter vectors. Statistics & Probability Letters. 79(9). 1135–1140. 3 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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