Ming Yi

195 papers receiving 4.2k citations

Ming Yi's Hit Papers

Effects of digital economy on carbon emission reduction: New evidence from China 2022 · 513 citations
5130+2+4Years since publication2505007501k

Peers

Ming Yi
Comparison fields: 5 of 168
  • Statistical and Nonlinear Physics 531
  • Economics and Econometrics 900
  • Plant Science 979
  • Strategy and Management 305
  • Marketing 149
Replace Soo-Yong Kim with:
Soo-Yong Kim South Korea
David Newth Australia
Zengru Di China
Martín Zimmermann Germany
Xiaoling Jin China
Richard W. Weber United States
Pei Chen China
George D. Loizou United Kingdom
Xinyu Wang China
Ying Fan China
Ming Yi relative to Soo-Yong Kim South Korea Soo-Yong Kim's profile →
Citations per field
00.5×2×4×5.8×
Soo-Yong Kim · 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 205 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 →
20191184
2
Effects of digital economy on carbon emission reduction: New evidence from China
Hit paper breakdown →
2022513
3 2019164
4 2020106
5 201999
6 201183
7 201269
8 202362
9 202058
10 202156
11 201752
12 201845
13 202145
14 200643
15 199440
16 201039
17 201739
18 201739
19 202336
20 202436

About Ming Yi

Ming Yi is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Economics and Econometrics and Modeling and Simulation, having authored 205 papers that have together received 4.3k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (37 papers), Nonlinear Dynamics and Pattern Formation (21 papers), Energy, Environment, Economic Growth (19 papers), Gene Regulatory Network Analysis (15 papers), Neural dynamics and brain function (13 papers), Fractional Differential Equations Solutions (7 papers), Single-cell and spatial transcriptomics (5 papers) and Statistical Mechanics and Entropy (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (531 citations), Economics and Econometrics (900 citations), Plant Science (979 citations), Strategy and Management (305 citations) and Marketing (149 citations). Ming Yi has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Honglin Huang, Yu Jing Zhao, Dao‐Xiu Zhou, Le Wen, Mingyue Selena Sheng, Yao Zhang, Ya Jia, Jun Ma, Yuangen Yao and Jun Tang. 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 Biophysical Chemistry.

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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