Ming Ma

29 papers receiving 317 citations

Peers

Ming Ma
Comparison fields: 5 of 91
  • Modeling and Simulation 30
  • Statistics and Probability 44
  • Public Health, Environmental and Occupational Health 109
  • Marketing 29
  • Genetics 81
Replace Joseph Apaloo with:
Joseph Apaloo Canada
Francisco Torres‐Ruiz Spain
Rinaldo B. Schinazi United States
Patricia Román‐Román Spain
Michael McAsey United States
Luca Guerrini Italy
Daniela Morale Italy
Daniel Merl United States
Ida Scheel Norway
Abdul Qadeer Khan Pakistan
Ming Ma relative to Joseph Apaloo Canada Joseph Apaloo's profile →
Citations per field
00.5×4.8×
Joseph Apaloo · 1×
Citations per year

Countries citing papers authored by Ming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Ma Line = papers co-authored together Ming Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202172
2 201928
3 200726
4 201922
5 201020
6 202019
7 201917
8 201912
9 201911
10 202210
11 199010
12 201910
13 20239
14 20189
15 20088
16 19907
17 20137
18 20245
19 20224
20 20254

About Ming Ma

Ming Ma is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Statistics and Probability, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 34 papers that have together received 327 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (9 papers), Statistical Distribution Estimation and Applications (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Customer churn and segmentation (3 papers), Catalytic Processes in Materials Science (3 papers), Consumer Market Behavior and Pricing (3 papers) and Catalysts for Methane Reforming (2 papers). The work is most often cited by research in Modeling and Simulation (30 citations), Statistics and Probability (44 citations), Public Health, Environmental and Occupational Health (109 citations), Marketing (29 citations) and Genetics (81 citations). Ming Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yong Ye, Yumei Wei, Zehui Li, Jinyuan Chen, Yueguo Wu, Huiyong Shen, Wenzhao Liu, Rujia Mi, Xi Shen and Yimin Jiang. Their work appears in journals such as Advances in Difference Equations, International Journal of Hydrogen Energy, Molecular Therapy — Nucleic Acids, Mathematical Biosciences & Engineering and Journal of Statistical Computation and Simulation.

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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