Hua Wei

100 total papers · 1.2k total citations
61 papers, 902 citations indexed

About

Hua Wei is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Hua Wei has authored 61 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 18 papers in Control and Systems Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Hua Wei's work include Electric Power System Optimization (16 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (10 papers). Hua Wei is often cited by papers focused on Electric Power System Optimization (16 papers), Optimal Power Flow Distribution (10 papers) and Energy Load and Power Forecasting (10 papers). Hua Wei collaborates with scholars based in China, United States and Denmark. Hua Wei's co-authors include Xiaoqing Bai, Rujie Zhu, Jinghua Li, Yiyi Zhang, Wenting Hou, Fei Lan, Hanbo Zheng, Jiefeng Liu, Junhui Zhao and Ruijin Liao and has published in prestigious journals such as The Science of The Total Environment, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Hua Wei

55 papers receiving 883 citations

Author Peers

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

Author						Papers	Cites
Hua Wei	723	247	74	62	56	61	902
Yifei Wang	642 0.9×	381 1.5×	169 2.3×	48 0.8×	37 0.7×	77	935
Sanjeev Srivastava	667 0.9×	581 2.4×	67 0.9×	96 1.5×	22 0.4×	77	1.0k
Papia Ray	689 1.0×	513 2.1×	99 1.3×	158 2.5×	37 0.7×	81	963
Junhui Zhao	604 0.8×	315 1.3×	26 0.4×	77 1.2×	75 1.3×	45	769
Georgios Fotis	771 1.1×	349 1.4×	81 1.1×	85 1.4×	83 1.5×	65	1.0k
Jeremy Lin	627 0.9×	195 0.8×	74 1.0×	45 0.7×	20 0.4×	62	832
Dechang Yang	742 1.0×	437 1.8×	57 0.8×	81 1.3×	19 0.3×	73	908
Chin‐Woo Tan	644 0.9×	207 0.8×	55 0.7×	77 1.2×	20 0.4×	24	855
Chen Yuan	720 1.0×	511 2.1×	44 0.6×	64 1.0×	19 0.3×	47	842
Majid Moazzami	743 1.0×	420 1.7×	70 0.9×	52 0.8×	11 0.2×	76	890

Countries citing papers authored by Hua Wei

Since Specialization

Citations

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

Fields of papers citing papers by Hua Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Wei

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