Ran Li

3.4k citations
99 papers · 2.5k · 1 hit paper · h-index 22

Impact in

Papers in

Ran Li

90 papers receiving 2.4k citations

Ran Li's Hit Papers

Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN 2017 · 805 citations
8050+3+6Years since publication250500750

Peers

Ran Li
Comparison fields: 5 of 96
  • Electrical and Electronic Engineering 2.1k
  • Energy Engineering and Power Technology 82
  • Automotive Engineering 291
  • Building and Construction 292
  • Control and Systems Engineering 448
Replace Gerardo J. Osório with:
Gerardo J. Osório Portugal
R. Lamedica Italy
Anzar Mahmood Pakistan
Yishen Wang United States
Zhi Zhou United States
Mohammad Kazem Sheikh‐El‐Eslami Iran
Furong Li United Kingdom
Lingling Li China
Carlos Álvarez-Bel Spain
Ran Li relative to Gerardo J. Osório Portugal Gerardo J. Osório's profile →
Citations per field
00.5×2.6×
Gerardo J. Osório · 1×
Citations per year

Countries citing papers authored by Ran Li

Since Specialization
Citations

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

Fields of papers citing papers by Ran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN
Hit paper breakdown →
2017805
2 2016194
3 2019189
4 2022116
5 202393
6 201586
7 201974
8 201469
9 201665
10 201651
11 201550
12 202045
13 202340
14 202331
15 202029
16 201727
17 201625
18 201924
19
Short-term wind speed forecasting for wind farm based on empirical mode decomposition
200823
20 201423

About Ran Li

Ran Li is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Automotive Engineering and Renewable Energy, Sustainability and the Environment, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Smart Grid Energy Management (32 papers), Energy Load and Power Forecasting (27 papers), Electric Power System Optimization (16 papers), Electric Vehicles and Infrastructure (13 papers), Microgrid Control and Optimization (10 papers), Advanced battery technologies research (9 papers), Optimal Power Flow Distribution (9 papers) and Power System Reliability and Maintenance (8 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.1k citations), Energy Engineering and Power Technology (82 citations), Automotive Engineering (291 citations), Building and Construction (292 citations) and Control and Systems Engineering (448 citations). Ran Li has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Minghao Xu, Heng Shi, Furong Li, Chenghong Gu, Zhong Zhang, Junyong Liu, Yue Xiang, Kang Ma, Nathan D. Smith and Mark R. T. Dale. Their work appears in journals such as IEEE Transactions on Power Systems, Applied Energy, IEEE Transactions on Smart Grid, IEEE Transactions on Transportation Electrification and Advanced Energy Materials.

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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