Shengli Dai

36 total papers · 545 total citations
25 papers, 416 citations indexed

About

Shengli Dai is a scholar working on Aerospace Engineering, Economics and Econometrics and Marketing. According to data from OpenAlex, Shengli Dai has authored 25 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 7 papers in Economics and Econometrics and 4 papers in Marketing. Recurrent topics in Shengli Dai's work include Advanced SAR Imaging Techniques (9 papers), Energy, Environment, Economic Growth (6 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Shengli Dai is often cited by papers focused on Advanced SAR Imaging Techniques (9 papers), Energy, Environment, Economic Growth (6 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (4 papers). Shengli Dai collaborates with scholars based in China, Germany and Hong Kong. Shengli Dai's co-authors include Xin Duan, Wei Zhang, Weimin Zhang, Yingchun Li, Patrick S.W. Fong, Li Xia, W. Wiesbeck, Yingying Wang, Ge Wang and Rui Yang and has published in prestigious journals such as Journal of Cleaner Production, Fuel and International Journal of Environmental Research and Public Health.

In The Last Decade

Shengli Dai

19 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
Shengli Dai	98	74	70	61	51	25	416
Yelena Popova	53 0.5×	47 0.6×	26 0.4×	37 0.6×	12 0.2×	31	413
André Felipe Simões	71 0.7×	24 0.3×	19 0.3×	13 0.2×	54 1.1×	32	479
Ceren Erdin	85 0.9×	51 0.7×	39 0.6×	7 0.1×	64 1.3×	15	454
Melih Bulu	79 0.8×	79 1.1×	56 0.8×	8 0.1×	35 0.7×	26	494
Haishan Xia	20 0.2×	52 0.7×	80 1.1×	15 0.2×	44 0.9×	21	415
Gökhan Özkaya	81 0.8×	50 0.7×	40 0.6×	5 0.1×	19 0.4×	15	371
TATuP Redaktion	73 0.7×	6 0.1×	108 1.5×	12 0.2×	50 1.0×	47	478
Shuping Wu	90 0.9×	24 0.3×	58 0.8×	31 0.5×	18 0.4×	37	374
Jiří Horák	65 0.7×	18 0.2×	126 1.8×	14 0.2×	30 0.6×	40	434
Maria Rosaria Di Nucci	41 0.4×	36 0.5×	17 0.2×	31 0.5×	140 2.7×	24	492

Countries citing papers authored by Shengli Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shengli Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Dai

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