Ming Ouyang

814 total citations
31 papers, 568 citations indexed

About

Ming Ouyang is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Ouyang has authored 31 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Ouyang's work include Gene expression and cancer classification (8 papers), Statistical Methods and Inference (5 papers) and Bioinformatics and Genomic Networks (5 papers). Ming Ouyang is often cited by papers focused on Gene expression and cancer classification (8 papers), Statistical Methods and Inference (5 papers) and Bioinformatics and Genomic Networks (5 papers). Ming Ouyang collaborates with scholars based in United States, China and Hong Kong. Ming Ouyang's co-authors include William J. Welsh, Panos G. Georgopoulos, Rebecka Jörnsten, Eric C. Rouchka, Yu R. Han, Dongming Sun, Patrizia Casaccia‐Bonnefil, Jiadong Li, Mark R. Plummer and Andrew Y. S. Cheng and has published in prestigious journals such as Journal of Neuroscience, Bioinformatics and Biometrics.

In The Last Decade

Ming Ouyang

26 papers receiving 540 citations

Peers

Ming Ouyang

MB

AI

CVPR

GENET

DN

Florence d’Alché–Buc France

Cong Lei China

Zhizheng Zhang China

Vanathi Gopalakrishnan United States

Carlos Riveros Australia

Blaise Hanczar France

Alejandro Murua United States

Wenya Guo China

Teresa M. A. Basile Italy

Hyong Kim United States

Florence d’Alché–Buc France

Ming Ouyang

629 ×2.1

MB

233 ×1.7

AI

43 ×0.6

CVPR

71 ×1.1

GENET

3 ×0.1

DN

Citations per year, relative to Ming Ouyang Ming Ouyang (= 1×) peers Florence d’Alché–Buc

Countries citing papers authored by Ming Ouyang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Ouyang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ouyang. A scholar is included among the top collaborators of Ming Ouyang 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 Ouyang. Ming Ouyang 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

1.

Cai, Jingheng, Ming Ouyang, Kai Kang, & Xinyuan Song. (2018). Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data. Multivariate Behavioral Research. 53(2). 151–171. 3 indexed citations

2.

Ouyang, Ming, et al.. (2018). Parallel Computation of Band Depth. 11. 85–90.

3.

Ouyang, Ming, et al.. (2017). Breadth-First Search with A Multi-Core Computer. 579–587. 1 indexed citations

4.

Ouyang, Ming. (2016). KNN in the Jaccard space. 1–7. 5 indexed citations

5.

Ouyang, Ming, et al.. (2014). Resampling-based Classification Using Depth for Functional Curves. Communications in Statistics - Simulation and Computation. 45(9). 3329–3338. 3 indexed citations

6.

Sun, Wei, et al.. (2012). Duct Cleaning Robot Comprehensive Kinematics Modeling and Analysis Considering the Complex Terrain. Advanced materials research. 430-432. 2032–2036.

7.

Ouyang, Ming, et al.. (2010). Accelerating the Nussinov RNA folding algorithm with CUDA/GPU. 4. 120–125. 20 indexed citations

8.

Ouyang, Ming, et al.. (2009). Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU. 53 indexed citations

9.

Burd, Randall S., Ming Ouyang, & David Madigan. (2008). Bayesian Logistic Injury Severity Score: A Method for Predicting Mortality Using International Classification of Disease‐9 Codes. Academic Emergency Medicine. 15(5). 466–475. 20 indexed citations

10.

Ouyang, Ming, et al.. (2008). COMPUTE PAIRWISE EUCLIDEAN DISTANCES OF DATA POINTS WITH GPUS. Biometrics. 59(4). 924–35. 25 indexed citations

11.

Jörnsten, Rebecka, et al.. (2007). A meta-data based method for DNA microarray imputation. BMC Bioinformatics. 8(1). 109–109. 18 indexed citations

12.

Han, Yu R., Jiadong Li, Dongming Sun, et al.. (2007). The Glial or Neuronal Fate Choice of Oligodendrocyte Progenitors Is Modulated by Their Ability to Acquire an Epigenetic Memory. Journal of Neuroscience. 27(27). 7339–7343. 77 indexed citations

13.

Ouyang, Ming, Aaron T. Garnett, Kotaro Hama, et al.. (2007). A web based resource characterizing the zebrafish developmental profile of over 16,000 transcripts. Gene Expression Patterns. 8(3). 171–180. 17 indexed citations

14.

Ouyang, Ming, William J. Welsh, & Panos G. Georgopoulos. (2004). Gaussian mixture clustering and imputation of microarray data. Bioinformatics. 20(6). 917–923. 129 indexed citations

15.

Ouyang, Ming, John Case, Vijaya G. Tirunagaru, & Joan Burnside. (2003). Five Hundred Sixty-Five Triples of Chicken, Human, and Mouse Candidate Orthologs. Journal of Molecular Evolution. 57(3). 271–281. 3 indexed citations

16.

Roy, Amit, Panos G. Georgopoulos, Ming Ouyang, Nick Freeman, & Paul J. Lioy. (2003). Environmental, dietary, demographic, and activity variables associated with biomarkers of exposure for benzene and lead. Journal of Exposure Science & Environmental Epidemiology. 13(6). 417–426. 16 indexed citations

17.

Ouyang, Ming, John Case, & Joan Burnside. (2001). Divide and Conquer Machine Learning for a Genomics Analogy Problem (Progress Report). 290–303. 2 indexed citations

18.

Ouyang, Ming & Andrew Y. S. Cheng. (2001). On Algorithms for Simplicial Depth. View. 53–56. 18 indexed citations

19.

Wang, Hongxin, Ming Ouyang, Weimin Zhang, Jian‐Zhong Sheng, & Tak‐Ming Wong. (1998). DIFFERENT MECHANISMS FOR [Ca²⁺]_i OSCILLATIONS INDUCED BY CARBACHOL AND HIGH CONCENTRATIONS OF [Ca²⁺]_o IN THE RAT VENTRICULAR MYOCYTE. Clinical and Experimental Pharmacology and Physiology. 25(3-4). 257–265. 3 indexed citations

20.

Ouyang, Ming. (1998). How good are branching rules in DPLL?. Discrete Applied Mathematics. 89(1-3). 281–286. 6 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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