Pengcheng Yang

54 total papers · 1.0k total citations
31 papers, 801 citations indexed

About

Pengcheng Yang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Pengcheng Yang has authored 31 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 20 papers in Electrical and Electronic Engineering and 8 papers in Energy Engineering and Power Technology. Recurrent topics in Pengcheng Yang's work include Microgrid Control and Optimization (19 papers), Islanding Detection in Power Systems (7 papers) and Power Systems and Renewable Energy (6 papers). Pengcheng Yang is often cited by papers focused on Microgrid Control and Optimization (19 papers), Islanding Detection in Power Systems (7 papers) and Power Systems and Renewable Energy (6 papers). Pengcheng Yang collaborates with scholars based in China, Denmark and Singapore. Pengcheng Yang's co-authors include Wei Wei, Yanghong Xia, Yonggang Peng, Miao Yu, Jiyang Wang, Qiang Zeng, Chunsheng Zhou, Qiuwei Wu, Shan Chen and Dongming Yan and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Smart Grid.

In The Last Decade

Pengcheng Yang

27 papers receiving 785 citations

Author Peers

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

Author						Papers	Cites
Pengcheng Yang	609	578	146	106	66	31	801
Ali Asghar Ghadimi	516 0.8×	710 1.2×	108 0.7×	19 0.2×	85 1.3×	61	822
Nikola Rajaković	222 0.4×	743 1.3×	122 0.8×	27 0.3×	37 0.6×	67	869
Ignacio Hernando‐Gil	264 0.4×	649 1.1×	99 0.7×	17 0.2×	45 0.7×	47	775
Ashraf Ahmed	307 0.5×	776 1.3×	43 0.3×	64 0.6×	89 1.3×	64	999
Diego Arcos-Avilés	715 1.2×	802 1.4×	285 2.0×	30 0.3×	145 2.2×	49	998
David Greenwood	639 1.0×	751 1.3×	126 0.9×	13 0.1×	131 2.0×	50	1.0k
Su Guo	255 0.4×	500 0.9×	416 2.8×	92 0.9×	69 1.0×	43	949
Chun Li	643 1.1×	663 1.1×	101 0.7×	27 0.3×	12 0.2×	37	850
Mousa Afrasiabi	374 0.6×	669 1.2×	25 0.2×	24 0.2×	52 0.8×	34	849
Manuel Chazarra	310 0.5×	603 1.0×	79 0.5×	93 0.9×	34 0.5×	24	776

Countries citing papers authored by Pengcheng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Pengcheng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengcheng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengcheng Yang. A scholar is included among the top collaborators of Pengcheng Yang 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 Pengcheng Yang. Pengcheng Yang 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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