Qin Wu

48 total papers · 610 total citations
26 papers, 419 citations indexed

About

Qin Wu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Qin Wu has authored 26 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Qin Wu's work include Power System Optimization and Stability (7 papers), Power Systems and Renewable Energy (4 papers) and Vehicle Dynamics and Control Systems (3 papers). Qin Wu is often cited by papers focused on Power System Optimization and Stability (7 papers), Power Systems and Renewable Energy (4 papers) and Vehicle Dynamics and Control Systems (3 papers). Qin Wu collaborates with scholars based in China, United Kingdom and United States. Qin Wu's co-authors include B.W. Hogg, G.W. Irwin, Zibin Zheng, Athman Bouguettaya, Qi Yu, Xin Chen, Hui Yin, Ye‐Hwa Chen, Jin Huang and Wen‐Bin Shangguan and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

In The Last Decade

Qin Wu

25 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Qin Wu	251	199	93	42	40	26	419
H. Hüseyin Sayan	203 0.8×	223 1.1×	96 1.0×	16 0.4×	23 0.6×	32	374
Mohsen Montazeri	172 0.7×	91 0.5×	117 1.3×	17 0.4×	45 1.1×	31	445
Ming-Tao Gan	175 0.7×	300 1.5×	121 1.3×	19 0.5×	33 0.8×	15	410
Biao Xu	86 0.3×	123 0.6×	176 1.9×	10 0.2×	20 0.5×	33	452
Jan Poland	180 0.7×	118 0.6×	134 1.4×	7 0.2×	62 1.6×	36	446
Mohammed Hindawi	231 0.9×	261 1.3×	65 0.7×	6 0.1×	15 0.4×	17	412
O. Dranga	195 0.8×	243 1.2×	29 0.3×	8 0.2×	25 0.6×	29	377
Mokhtar Sha Sadeghi	181 0.7×	146 0.7×	101 1.1×	4 0.1×	26 0.7×	22	366
R. Betancourt	165 0.7×	263 1.3×	24 0.3×	11 0.3×	26 0.7×	43	467
Ming Xue	63 0.3×	175 0.9×	160 1.7×	16 0.4×	37 0.9×	39	434

Countries citing papers authored by Qin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Qin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Wu

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