Tao Ding

13.7k citations
471 papers · 10.1k indexed · 3 hit papers · h-index 53

Tao Ding

422 papers receiving 9.8k citations

Hit Papers

A Transformer-based mu...982015202620182022100200300

Peers

Tao Ding
Comparison fields: 5 of 156
  • Energy Engineering and Power Technology 893
  • Control and Systems Engineering 3.1k
  • Electrical and Electronic Engineering 7.6k
  • General Energy 81
  • Safety, Risk, Reliability and Quality 717
Replace Shengwei Mei with:
Shengwei Mei China
Qing Xia China
Li Li China
Lei Wu United States
Abdullah Abusorrah Saudi Arabia
Fushuan Wen China
Ning Zhang China
Yijia Cao China
Hamidreza Zareipour Canada
Jamshid Aghaei Iran
Tao Ding relative to Shengwei Mei China Shengwei Mei's profile →
Citations per field
00.5×1.5×2.3×
Shengwei Mei · 1×
Citations per year

Countries citing papers authored by Tao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Tao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 202413
3 20247
4 20242
5 20244
6 20243
7 20240
8 202442
9 202440
10 202330
11
A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecastingbreakdown →
202398
12 202317
13 202349
14 20230
15 202314
16 202310
17 20238
18 201715
19 20175
20 201573

About Tao Ding

Tao Ding is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Automotive Engineering, having authored 471 papers that have together received 10.1k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (126 papers), Electric Power System Optimization (102 papers), Smart Grid Energy Management (95 papers), Microgrid Control and Optimization (80 papers), Integrated Energy Systems Optimization (71 papers), Power System Optimization and Stability (47 papers), Energy Load and Power Forecasting (44 papers) and Power System Reliability and Maintenance (39 papers). The work is most often cited by research in Energy Engineering and Power Technology (893 citations), Control and Systems Engineering (3.1k citations), Electrical and Electronic Engineering (7.6k citations), General Energy (81 citations) and Safety, Risk, Reliability and Quality (717 citations). Tao Ding has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Zhaohong Bie, Mohammad Shahidehpour, Yongheng Yang, Fangxing Li, Haixiang Zang, Zhinong Wei, Guoqiang Sun, Lilin Cheng, Yanling Lin and Ming Qu. Their work appears in journals such as IEEE Transactions on Power Systems, IET Generation Transmission & Distribution, IEEE Transactions on Sustainable Energy, IEEE Transactions on Smart Grid and IEEE Transactions on Automation Science and Engineering.

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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