Long Zhao

143 total papers · 4.3k total citations
98 papers, 3.2k citations indexed

About

Long Zhao is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Long Zhao has authored 98 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 12 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Long Zhao's work include Energy Load and Power Forecasting (18 papers), Smart Grid Energy Management (15 papers) and Electric Power System Optimization (13 papers). Long Zhao is often cited by papers focused on Energy Load and Power Forecasting (18 papers), Smart Grid Energy Management (15 papers) and Electric Power System Optimization (13 papers). Long Zhao collaborates with scholars based in United States, China and Germany. Long Zhao's co-authors include Bo Zeng, Ali Abur, Wei‐Jen Lee, Yuhao Zhou, Wei Yuan, Xianchao Zhang, Linlin Zong, Hong Yu, Yu Zhang and Yu An and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications and IEEE Transactions on Smart Grid.

In The Last Decade

Long Zhao

91 papers receiving 3.1k citations

Hit Papers

Solving two-stage robust ... 2013 2026 2017 2021 2013 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Long Zhao 2.1k 1.1k 305 298 274 98 3.2k
Daniel Bienstock 1.0k 0.5× 512 0.5× 468 1.5× 215 0.7× 188 0.7× 124 3.4k
Carl D. Laird 887 0.4× 1.4k 1.3× 156 0.5× 118 0.4× 498 1.8× 90 3.5k
Bo Zeng 3.2k 1.5× 1.7k 1.5× 561 1.8× 442 1.5× 450 1.6× 155 5.2k
Russell Bent 1.1k 0.5× 517 0.5× 117 0.4× 220 0.7× 228 0.8× 89 2.3k
Farshid Keynia 3.2k 1.5× 732 0.7× 715 2.3× 206 0.7× 101 0.4× 91 4.5k
Gilles Savard 614 0.3× 1.6k 1.5× 708 2.3× 91 0.3× 179 0.7× 101 4.7k
Wenhu Tang 2.8k 1.3× 1.1k 1.0× 100 0.3× 313 1.1× 300 1.1× 172 3.6k
Hong Liu 1.1k 0.5× 691 0.6× 61 0.2× 98 0.3× 429 1.6× 147 2.3k
Stéfano Frizzo Stefenon 1.2k 0.6× 367 0.3× 252 0.8× 125 0.4× 231 0.8× 97 2.7k
Pradeep Jangir 1.6k 0.8× 808 0.7× 164 0.5× 131 0.4× 365 1.3× 176 4.4k

Countries citing papers authored by Long Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Long Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Long Zhao. A scholar is included among the top collaborators of Long Zhao 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 Long Zhao. Long Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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