Shilei Ge

961 total citations · 1 hit paper
7 papers, 811 citations indexed

About

Shilei Ge is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Marketing. According to data from OpenAlex, Shilei Ge has authored 7 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Renewable Energy, Sustainability and the Environment and 1 paper in Marketing. Recurrent topics in Shilei Ge's work include Photovoltaic System Optimization Techniques (5 papers), Solar Radiation and Photovoltaics (5 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Shilei Ge is often cited by papers focused on Photovoltaic System Optimization Techniques (5 papers), Solar Radiation and Photovoltaics (5 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Shilei Ge collaborates with scholars based in China. Shilei Ge's co-authors include Jing Liang, Boyang Qu, Kunjie Yu, Caitong Yue, Xu Chen, Kangjia Qiao, Zhimeng Li, Panpan Wei, Fengjiao Liu and Ke Li and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and IEEE Access.

In The Last Decade

Shilei Ge

7 papers receiving 798 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module

2019 377 citations Kunjie Yu, Boyang Qu et al. Applied Energy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shilei Ge China	5	672	602	151	93	42	7	811
S. Mohammadreza Ebrahimi Iran	8	339 0.5×	349 0.6×	135 0.9×	23 0.2×	49 1.2×	18	476
Abdelhady Ramadan Egypt	9	228 0.3×	199 0.3×	129 0.9×	26 0.3×	48 1.1×	15	367
Vibhu Jately India	13	279 0.4×	380 0.6×	349 2.3×	21 0.2×	169 4.0×	35	628
K. Sangeetha India	9	283 0.4×	405 0.7×	311 2.1×	7 0.1×	64 1.5×	14	550
Wanchalerm Pora Thailand	8	203 0.3×	227 0.4×	238 1.6×	14 0.2×	51 1.2×	50	457
Rani Chinnappa Naidu India	13	251 0.4×	373 0.6×	517 3.4×	16 0.2×	149 3.5×	52	761
Burçin Özkaya Türkiye	8	142 0.2×	233 0.4×	262 1.7×	39 0.4×	33 0.8×	15	396
Thanh Long Duong Vietnam	12	178 0.3×	160 0.3×	432 2.9×	13 0.1×	228 5.4×	48	638
Ayman Youssef Egypt	9	174 0.3×	204 0.3×	152 1.0×	4 0.0×	47 1.1×	20	381
Oluwatayomi Rereloluwa Adegboye Türkiye	12	146 0.2×	43 0.1×	40 0.3×	58 0.6×	17 0.4×	21	316

Countries citing papers authored by Shilei Ge

Since Specialization

Citations

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

Fields of papers citing papers by Shilei Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilei Ge

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

All Works

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7 of 7 papers shown

1.

Liang, Jing, Kangjia Qiao, Kunjie Yu, et al.. (2020). Evolutionary multi-task optimization for parameters extraction of photovoltaic models. Energy Conversion and Management. 207. 112509–112509. 98 indexed citations

2.

Liang, Jing, Kangjia Qiao, Kunjie Yu, et al.. (2020). Parameters estimation of solar photovoltaic models via a self-adaptive ensemble-based differential evolution. Solar Energy. 207. 336–346. 135 indexed citations

3.

Liang, Jing, et al.. (2019). MOPSO-Based CNN for Keyword Selection on Google Ads. IEEE Access. 7. 125387–125400. 12 indexed citations

4.

Yu, Kunjie, Boyang Qu, Caitong Yue, et al.. (2019). A performance-guided JAYA algorithm for parameters identification of photovoltaic cell and module. Applied Energy. 237. 241–257. 377 indexed citations breakdown →

5.

Yu, Kunjie, Shilei Ge, Boyang Qu, & Jing Liang. (2019). A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. 90. 2634–2641. 3 indexed citations

6.

Liang, Jing, Shilei Ge, Boyang Qu, et al.. (2019). Classified perturbation mutation based particle swarm optimization algorithm for parameters extraction of photovoltaic models. Energy Conversion and Management. 203. 112138–112138. 185 indexed citations

7.

Ge, Shilei, et al.. (2019). Exploration on Innovative Model of Water-draw and Utilization Assessment: Regional Water-draw and Utilization Assessment + Water Consumption Standard System. IOP Conference Series Earth and Environmental Science. 304(2). 22021–22021. 1 indexed citations

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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