Shengqi Dai

646 total citations
12 papers, 484 citations indexed

About

Shengqi Dai is a scholar working on Global and Planetary Change, Materials Chemistry and Ecology. According to data from OpenAlex, Shengqi Dai has authored 12 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 5 papers in Materials Chemistry and 3 papers in Ecology. Recurrent topics in Shengqi Dai's work include Diamond and Carbon-based Materials Research (3 papers), Climate variability and models (3 papers) and Metal and Thin Film Mechanics (3 papers). Shengqi Dai is often cited by papers focused on Diamond and Carbon-based Materials Research (3 papers), Climate variability and models (3 papers) and Metal and Thin Film Mechanics (3 papers). Shengqi Dai collaborates with scholars based in China, United States and Canada. Shengqi Dai's co-authors include Bin Zhao, Jun Ma, Xinxin Wang, Xiangming Xiao, Yuanwei Qin, Bangqian Chen, Xiangming Xiao, Jinwei Dong, Xiangping Li and Bo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Shengqi Dai

10 papers receiving 474 citations

Peers

Shengqi Dai

ECOLO

GPC

EE

AS

EP

Akihiko Kotera Japan

Bina Thapa United States

Xiaoming Cao China

Tsolmon Renchin Mongolia

Hannah M. Cooper United States

Per Skougaard Kaspersen Denmark

Lien T.H. Pham Vietnam

Emil Cherrington United States

Shailesh Sharma India

Zhangyu Dong China

Akihiko Kotera Japan

Shengqi Dai

208 ×0.7

ECOLO

396 ×1.4

GPC

126 ×1.4

EE

128 ×1.6

AS

39 ×0.5

EP

Citations per year, relative to Shengqi Dai Shengqi Dai (= 1×) peers Akihiko Kotera

Countries citing papers authored by Shengqi Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shengqi Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengqi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shengqi Dai. A scholar is included among the top collaborators of Shengqi 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 Shengqi Dai. Shengqi 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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12 of 12 papers shown

1.

Zhang, Yifan, Weiqing Yan, Shengqi Dai, et al.. (2024). A comparative study on the structure and properties of TiAlSiN coatings deposited by FCVA and HiPIMS. Journal of Alloys and Compounds. 1005. 175844–175844. 4 indexed citations

2.

Zhang, Lan, Peng Xue, Shengqi Dai, et al.. (2024). Relationship between residual stress and tribocorrosion behavior of high quality DLC coatings prepared by FCVA with HVP technology. Ceramics International. 51(3). 3062–3074. 4 indexed citations

3.

Dai, Shengqi, Y.F. Zhang, Hongshuai Cao, et al.. (2024). Enhanced tribological behavior and corrosion resistance in AlSiC-based coatings through varied carbon content. Ceramics International. 50(20). 38160–38173.

4.

Zhang, Yifan, Shengqi Dai, Xiaoyue Jin, et al.. (2024). Atomic oxygen erosion of a poly(ester-imide) film. Polymer Degradation and Stability. 232. 111137–111137.

5.

Zhang, Yifan, Shengqi Dai, Weiqing Yan, et al.. (2023). Integration fabrication of polyimide composite films for aerospace applications. SHILAP Revista de lepidopterología. 5(3). 7 indexed citations

6.

Ma, Jun, et al.. (2019). Long-Term Dynamic of Poyang Lake Surface Water: A Mapping Work Based on the Google Earth Engine Cloud Platform. Remote Sensing. 11(3). 313–313. 87 indexed citations

7.

Li, Hong, Haiqiang Guo, Manuel Helbig, et al.. (2019). Does direct-seeded rice decrease ecosystem-scale methane emissions?—A case study from a rice paddy in southeast China. Agricultural and Forest Meteorology. 272-273. 118–127. 33 indexed citations

8.

Wang, Xinxin, Xiangming Xiao, Zhenhua Zou, et al.. (2018). Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine. Remote Sensing of Environment. 238. 110987–110987. 220 indexed citations

9.

Li, Hong, Shengqi Dai, Zutao Ouyang, et al.. (2018). Multi-scale temporal variation of methane flux and its controls in a subtropical tidal salt marsh in eastern China. Biogeochemistry. 137(1-2). 163–179. 39 indexed citations

10.

Dai, Shengqi, Hong Li, Jun Ma, et al.. (2018). Assessing the Extent and Impact of Online Data Sharing in Eddy Covariance Flux Research. Journal of Geophysical Research Biogeosciences. 123(1). 129–137. 19 indexed citations

11.

Qin, Yuanwei, Xiangming Xiao, Jinwei Dong, et al.. (2016). Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010. Scientific Reports. 6(1). 20880–20880. 64 indexed citations

12.

Dai, Shengqi, et al.. (2016). Trends and challenges of ecosystem observations in the age of big data. Biodiversity Science. 24(1). 85–94. 7 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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