Yeming Dai

878 total citations
30 papers, 606 citations indexed

About

Yeming Dai is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Yeming Dai has authored 30 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 11 papers in Management Science and Operations Research and 6 papers in Control and Systems Engineering. Recurrent topics in Yeming Dai's work include Energy Load and Power Forecasting (13 papers), Smart Grid Energy Management (11 papers) and Grey System Theory Applications (7 papers). Yeming Dai is often cited by papers focused on Energy Load and Power Forecasting (13 papers), Smart Grid Energy Management (11 papers) and Grey System Theory Applications (7 papers). Yeming Dai collaborates with scholars based in China and Hong Kong. Yeming Dai's co-authors include Pei Zhao, Mingming Leng, Xinyu Yang, Hongwei Gao, Yan Gao, Qiong Zhou, Yanxin Wang, Qiong Zhou, Yanxin Wang and Weijie Yu and has published in prestigious journals such as Applied Energy, Energy and Renewable Energy.

In The Last Decade

Yeming Dai

27 papers receiving 583 citations

Peers

Yeming Dai
Comparison fields: 5 of 70
  • Electrical and Electronic Engineering 449
  • Artificial Intelligence 146
  • Management Science and Operations Research 105
  • Renewable Energy, Sustainability and the Environment 91
  • Control and Systems Engineering 90
Replace Xifeng Guo with:
Xifeng Guo China
Karl Mason Ireland
Kianoosh G. Boroojeni United States
Hangxia Zhou China
Sérgio Ramos Portugal
Elissaios Sarmas Greece
Debopriya Roy Dipta United States
Narjes Fallah Ireland
Yunxuan Dong China
Sheng-Xiang Lv China
Xifeng Guo China View profile →
Citations per field, relative to Yeming Dai
Yeming Dai · 1×
Citations per year, relative to Yeming Dai
Yeming Dai · 1×

Countries citing papers authored by Yeming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yeming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeming Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yeming Dai. A scholar is included among the top collaborators of Yeming Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yeming Dai. Yeming Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 5
4 37
5 19
6 0
7 1
8 2
9 7
10 87
11 68
12 16
13 46
14 12
15 14
16 14
17 1
18 8
19 57
20 9

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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