Ming Yi

192 papers receiving 3.8k citations

Ming Yi's Hit Papers

Effects of digital economy on carbon emission reduction: New evidence from China 2022 · 447 citations
4470+2+4Years since publication2505007501000

Peers

Ming Yi
Comparison fields: 5 of 181
  • Statistical and Nonlinear Physics 725
  • Economics and Econometrics 982
  • Marketing 233
  • Cognitive Neuroscience 476
  • Plant Science 880
Replace Yong Chen with:
Yong Chen China
Xiang Li China
Xuemei Li China
David A. Pierce United States
Paulino Ribeiro Villas-Boas Brazil
Feng Yu China
David Newth Australia
Frank Emmert‐Streib Austria
Muhammad Shafiq Pakistan
Robert Kohn Australia
Ming Yi relative to Yong Chen China Yong Chen's profile →
Citations per field
00.5×10×12.9×
Yong Chen · 1×
Citations per year

Countries citing papers authored by Ming Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Yi, 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 Yi Line = papers co-authored together Ming Yi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanisms of ROS Regulation of Plant Development and Stress Responses
Hit paper breakdown →
20191010
2
Effects of digital economy on carbon emission reduction: New evidence from China
Hit paper breakdown →
2022447
3 2019154
4 202095
5 201991
6 201182
7 201267
8 202053
9 201750
10 202349
11 202148
12 201844
13 200643
14 199439
15 201739
16 201736
17 202136
18 201036
19 201832
20 201229

About Ming Yi

Ming Yi is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience and Economics and Econometrics, having authored 212 papers that have together received 3.9k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (49 papers), Nonlinear Dynamics and Pattern Formation (33 papers), Gene Regulatory Network Analysis (25 papers), Neural dynamics and brain function (25 papers), Energy, Environment, Economic Growth (18 papers), Fractional Differential Equations Solutions (9 papers), Air Quality and Health Impacts (8 papers) and Evolution and Genetic Dynamics (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (725 citations), Economics and Econometrics (982 citations), Marketing (233 citations), Cognitive Neuroscience (476 citations) and Plant Science (880 citations). Ming Yi has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Yu Zhao, Honglin Huang, Dao‐Xiu Zhou, Le Wen, Mingyue Selena Sheng, Yafen Liu, Ya Jia, Jun Ma, Yao Zhang and Yuangen Yao. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Environmental Science and Pollution Research, Chaos An Interdisciplinary Journal of Nonlinear Science, Chaos Solitons & Fractals and Complexity.

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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