Zhetong Ding

460 citations
17 papers · 302 · 1 hit paper · h-index 9

Impact in

Papers in

Zhetong Ding

14 papers receiving 296 citations

Zhetong Ding's Hit Papers

A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System 2022 · 161 citations
1610+1+2Years since publication50100150

Peers

Zhetong Ding
Comparison fields: 5 of 46
  • Energy Engineering and Power Technology 20
  • Electrical and Electronic Engineering 247
  • Management Science and Operations Research 43
  • Building and Construction 39
  • Artificial Intelligence 92
Replace Keda Pan with:
Keda Pan China
Haihong Bian China
Young-Min Wi South Korea
Ming‐Tang Tsai Taiwan
Ajay Shekhar Pandey India
Hanif Tayarani Iran
Mucun Sun United States
Hanjiang Dong China
Jorge Ángel González Ordiano Germany
Zhetong Ding relative to Keda Pan China Keda Pan's profile →
Citations per field
00.5×2.7×
Keda Pan · 1×
Citations per year

Countries citing papers authored by Zhetong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zhetong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
A Transformer-Based Method of Multienergy Load Forecasting in Integrated Energy System
Hit paper breakdown →
2022161
2 202331
3 202229
4 202215
5 202413
6 202313
7 202110
8 20229
9 20228
10 20234
11 20204
12 20192
13 20202
14 20191
15 20250
16 20250
17 20180

About Zhetong Ding

Zhetong Ding is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (9 papers), Microgrid Control and Optimization (6 papers), Solar Radiation and Photovoltaics (4 papers), Frequency Control in Power Systems (4 papers), Wind Turbine Control Systems (4 papers), Smart Grid Security and Resilience (3 papers), Smart Grid Energy Management (3 papers) and Smart Grid and Power Systems (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (20 citations), Electrical and Electronic Engineering (247 citations), Management Science and Operations Research (43 citations), Building and Construction (39 citations) and Artificial Intelligence (92 citations). Zhetong Ding has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Kaifeng Zhang, Ying Wang, Chen Wang, Jiangyi Hu, Tao Zheng, Shuo Shan, Kanjian Zhang, Haikun Wei, Chenxi Li and Kun Yuan. Their work appears in journals such as IET Renewable Power Generation, IEEE Transactions on Smart Grid, Energy Conversion and Management, IEEE Systems Journal and IET Generation Transmission & Distribution.

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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