Jin Ma

13.0k citations
372 papers · 8.9k · 2 hit papers · h-index 49

Impact in

Papers in

Jin Ma

348 papers receiving 8.5k citations

Jin Ma's Hit Papers

Short-term load forecasting based on LSTM networks considering attention mechanism 2021 · 216 citations
2160+2+4Years since publication50100150200250

Peers

Jin Ma
Comparison fields: 5 of 184
  • Finance 1.3k
  • Energy Engineering and Power Technology 399
  • Control and Systems Engineering 2.5k
  • Electrical and Electronic Engineering 5.0k
  • Nephrology 329
Replace Pu Li with:
Pu Li Germany
Hui Liu China
Amir F. Atiya Egypt
Weidong Liu China
Ahmad Taher Azar Egypt
Wei Xing Zheng Australia
V.M.F. Mendes Portugal
Rupesh K. Srivastava India
Nilanjan Dey India
Qing‐Guo Wang China
Jin Ma relative to Pu Li Germany Pu Li's profile →
Citations per field
00.5×10×15×20.6×
Pu Li · 1×
Citations per year

Countries citing papers authored by Jin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 372 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994450
2 2007388
3 2010299
4
Dietary Fiber Protects against Diabetic Nephropathy through Short-Chain Fatty Acid–Mediated Activation of G Protein–Coupled Receptors GPR43 and GPR109A
Hit paper breakdown →
2020279
5 2006258
6 2016228
7
Short-term load forecasting based on LSTM networks considering attention mechanism
Hit paper breakdown →
2021216
8 2010158
9 2008151
10 2003150
11 2019148
12 2016146
13 2014134
14 2008130
15 2020128
16 2018125
17 2016110
18 1996107
19 2018107
20 201795

About Jin Ma

Jin Ma is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Finance, Energy Engineering and Power Technology and Artificial Intelligence, having authored 372 papers that have together received 8.9k indexed citations. Recurring topics across this work include Power System Optimization and Stability (87 papers), Optimal Power Flow Distribution (63 papers), Smart Grid Energy Management (43 papers), Microgrid Control and Optimization (42 papers), Energy Load and Power Forecasting (30 papers), Stochastic processes and financial applications (29 papers), HVDC Systems and Fault Protection (29 papers) and High-Voltage Power Transmission Systems (28 papers). The work is most often cited by research in Finance (1.3k citations), Energy Engineering and Power Technology (399 citations), Control and Systems Engineering (2.5k citations), Electrical and Electronic Engineering (5.0k citations) and Nephrology (329 citations). Jin Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiongmin Yong, Zhao Yang Dong, David J. Hill, Philip Protter, Steven J. Chadban, He Renmu, Jun Lin, Jianguo Zhu, Huiling Wu and Yanbo Chen. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IET Generation Transmission & Distribution, International Journal of Electrical Power & Energy Systems and Stochastic Processes and their Applications.

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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