Ming Yang

8.9k citations
353 papers · 6.5k · h-index 41

Impact in

Papers in

Ming Yang

315 papers receiving 6.4k citations

Peers

Ming Yang
Comparison fields: 5 of 187
  • Energy Engineering and Power Technology 485
  • Electrical and Electronic Engineering 3.3k
  • Control and Systems Engineering 1.3k
  • Reproductive Medicine 369
  • Agronomy and Crop Science 346
Replace Zijun Zhang with:
Zijun Zhang China
Zhitao Liu China
Tianzhen Wang China
Jianwen Zhang China
Xin Zhang China
Saman Halgamuge Australia
Yufei Huang United States
Shiyuan Wang China
Robert Green United States
Xiaohua Xia South Africa
Ming Yang relative to Zijun Zhang China Zijun Zhang's profile →
Citations per field
00.5×10×15×19.4×
Zijun Zhang · 1×
Citations per year

Countries citing papers authored by Ming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 353 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002220
2 2004218
3
Bidirectional Long Short-Term Memory Networks for Relation Classification
2015216
4 2021144
5 2017139
6 2020138
7 2018131
8 2000125
9 2006111
10 2021108
11 2008102
12 202193
13 202092
14 202090
15 201987
16 202285
17 202083
18 199582
19 201782
20 202082

About Ming Yang

Ming Yang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Energy Engineering and Power Technology and Safety, Risk, Reliability and Quality, having authored 353 papers that have together received 6.5k indexed citations. Recurring topics across this work include Electric Power System Optimization (71 papers), Energy Load and Power Forecasting (59 papers), Optimal Power Flow Distribution (49 papers), Smart Grid Energy Management (43 papers), Microgrid Control and Optimization (36 papers), Solar Radiation and Photovoltaics (28 papers), Power Systems and Renewable Energy (27 papers) and Integrated Energy Systems Optimization (21 papers). The work is most often cited by research in Energy Engineering and Power Technology (485 citations), Electrical and Electronic Engineering (3.3k citations), Control and Systems Engineering (1.3k citations), Reproductive Medicine (369 citations) and Agronomy and Crop Science (346 citations). Ming Yang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include J. E. Fortune, Rajadurai Rajamahendran, Yixiao Yu, Xueshan Han, Peng Li, Qiuwei Wu, You Lin, Wei‐Jen Lee, Gonzalo M. Rivera and Chengfu Wang. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IEEE Transactions on Industry Applications, IEEE Transactions on Power Systems, Journal of Modern Power Systems and Clean Energy and IEEE Transactions on Sustainable Energy.

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.

Explore authors with similar magnitude of impact