Ming Gu

474 total citations
14 papers, 320 citations indexed

About

Ming Gu is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Gu has authored 14 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Gu's work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods in Clinical Trials (2 papers). Ming Gu is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Statistical Methods in Clinical Trials (2 papers). Ming Gu collaborates with scholars based in China, Canada and Hong Kong. Ming Gu's co-authors include Tze Leung Lai, Hong-Tu Zhu, Lintao Zheng, Liuquan Sun, Renfang Wang, Huang Changquan, K. K. Gordon Lan, Vincent Lin, Peng Gao and S. J. Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.

In The Last Decade

Ming Gu

13 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Gu China 8 208 90 45 43 21 14 320
Wendy L. Poston United States 9 124 0.6× 137 1.5× 48 1.1× 38 0.9× 34 1.6× 17 344
O. V. Lepskii 4 270 1.3× 99 1.1× 94 2.1× 26 0.6× 10 0.5× 8 446
Ivan Mizera Canada 12 344 1.7× 109 1.2× 44 1.0× 63 1.5× 43 2.0× 27 522
P. Hall Australia 9 168 0.8× 76 0.8× 20 0.4× 19 0.4× 17 0.8× 17 322
Qing Mai United States 12 176 0.8× 138 1.5× 63 1.4× 17 0.4× 18 0.9× 30 362
Fengrong Wei United States 8 436 2.1× 145 1.6× 39 0.9× 49 1.1× 54 2.6× 14 597
Miguel A. Gómez–Villegas Spain 11 246 1.2× 109 1.2× 30 0.7× 35 0.8× 22 1.0× 30 376
Pierre Alquier France 11 142 0.7× 163 1.8× 34 0.8× 18 0.4× 11 0.5× 33 294
Joong‐Ho Won South Korea 7 70 0.3× 57 0.6× 32 0.7× 16 0.4× 11 0.5× 37 275

Countries citing papers authored by Ming Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gu

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

All Works

14 of 14 papers shown
1.
Yang, Yan, Peng Gao, Ming Gu, et al.. (2024). Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation. Information Processing & Management. 61(5). 103802–103802.
2.
Carkeet, Andrew, et al.. (2019). Simulated image doubling and visual acuity: effects of doubling magnitude, orientation, and ghost image intensity. Ophthalmic and Physiological Optics. 39(2). 86–93. 1 indexed citations
3.
Gu, Ming, et al.. (2017). A joint probability distribution model of directional extreme wind speeds based on the t-Copula function. Wind and Structures. 25(3). 261–282. 5 indexed citations
4.
Zheng, Lintao, et al.. (2017). Infrared traffic image enhancement algorithm based on dark channel prior and gamma correction. Modern Physics Letters B. 31(19-21). 1740044–1740044. 31 indexed citations
5.
Gu, Ming & Renfang Wang. (2016). Fractional Differentiation-Based Active Contour Model Driven by Local Intensity Fitting Energy. Mathematical Problems in Engineering. 2016. 1–10. 9 indexed citations
6.
Gu, Ming, et al.. (2013). Conceptology: Using Concept Map for Knowledge Representation and Ontology Construction. Journal of Networks. 8(8). 7 indexed citations
7.
Gu, Ming, et al.. (2005). A Baseline-free Procedure for Transformation Models Under Interval Censorship. Lifetime Data Analysis. 11(4). 473–488. 15 indexed citations
8.
Gu, Ming, Liuquan Sun, & Huang Changquan. (2003). A universal procedure for parametric frailty models. Journal of Statistical Computation and Simulation. 74(1). 1–13. 6 indexed citations
9.
Gu, Ming & Hong-Tu Zhu. (2001). Maximum Likelihood Estimation for Spatial Models by Markov Chain Monte Carlo Stochastic Approximation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 63(2). 339–355. 71 indexed citations
10.
Gu, Ming, et al.. (1998). A stochastic approximation algorithm with Markov chain Monte-Carlo method for incomplete data estimation problems. Proceedings of the National Academy of Sciences. 95(13). 7270–7274. 61 indexed citations
11.
Gu, Ming, et al.. (1998). A stochastic approximation algorithm for maximum‐likelihood estimation with incomplete data. Canadian Journal of Statistics. 26(4). 567–582. 9 indexed citations
12.
Gu, Ming & Tze Leung Lai. (1991). Weak Convergence of Time-Sequential Censored Rank Statistics with Applications to Sequential Testing in Clinical Trials. The Annals of Statistics. 19(3). 34 indexed citations
13.
Gu, Ming, Tze Leung Lai, & K. K. Gordon Lan. (1991). Rank Tests Based on Censored Data and Their Sequential Analogues. American Journal of Mathematical and Management Sciences. 11(1-2). 147–176. 4 indexed citations
14.

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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