Yasheng Maimaiti

469 total citations
7 papers, 391 citations indexed

About

Yasheng Maimaiti is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yasheng Maimaiti has authored 7 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Electrical and Electronic Engineering and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Yasheng Maimaiti's work include Semiconductor materials and devices (5 papers), Catalytic Processes in Materials Science (5 papers) and Electronic and Structural Properties of Oxides (2 papers). Yasheng Maimaiti is often cited by papers focused on Semiconductor materials and devices (5 papers), Catalytic Processes in Materials Science (5 papers) and Electronic and Structural Properties of Oxides (2 papers). Yasheng Maimaiti collaborates with scholars based in Ireland, United States and Denmark. Yasheng Maimaiti's co-authors include Simon D. Elliott, Michael Nolan, Thomas Bligaard, Johannes Voss, Shaama Mallikarjun Sharada, Rasmus K. B. Karlsson, Gangotri Dey, Kai Trepte and Kristopher Brown and has published in prestigious journals such as Advanced Materials, The Journal of Chemical Physics and Chemistry of Materials.

In The Last Decade

Yasheng Maimaiti

7 papers receiving 388 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yasheng Maimaiti Ireland 7 304 169 72 63 41 7 391
Stéphane Kenmoe Germany 14 321 1.1× 94 0.6× 175 2.4× 60 1.0× 32 0.8× 42 419
Ioanna Fampiou United States 10 467 1.5× 177 1.0× 193 2.7× 67 1.1× 37 0.9× 10 537
Martin Datler Austria 7 281 0.9× 73 0.4× 129 1.8× 96 1.5× 42 1.0× 8 381
Sabrina M. Gericke Sweden 10 203 0.7× 168 1.0× 177 2.5× 75 1.2× 34 0.8× 24 369
Melanie David Philippines 13 380 1.3× 219 1.3× 196 2.7× 66 1.0× 64 1.6× 58 606
Zhinan Ma China 10 503 1.7× 189 1.1× 119 1.7× 28 0.4× 19 0.5× 17 580
Jinrong Xu China 10 389 1.3× 93 0.6× 57 0.8× 67 1.1× 38 0.9× 30 441
Morgana A. Ribas United States 5 403 1.3× 104 0.6× 46 0.6× 21 0.3× 50 1.2× 6 427

Countries citing papers authored by Yasheng Maimaiti

Since Specialization
Citations

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

Fields of papers citing papers by Yasheng Maimaiti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasheng Maimaiti

This figure shows the co-authorship network connecting the top 25 collaborators of Yasheng Maimaiti. A scholar is included among the top collaborators of Yasheng Maimaiti 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 Yasheng Maimaiti. Yasheng Maimaiti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Brown, Kristopher, Yasheng Maimaiti, Kai Trepte, Thomas Bligaard, & Johannes Voss. (2021). MCML: Combining physical constraints with experimental data for a multi‐purpose meta‐generalized gradient approximation. Journal of Computational Chemistry. 42(28). 2004–2013. 11 indexed citations
2.
Sharada, Shaama Mallikarjun, Rasmus K. B. Karlsson, Yasheng Maimaiti, Johannes Voss, & Thomas Bligaard. (2019). Adsorption on transition metal surfaces: Transferability and accuracy of DFT using the ADS41 dataset. Physical review. B.. 100(3). 65 indexed citations
3.
Elliott, Simon D., et al.. (2017). Classification of processes for the atomic layer deposition of metals based on mechanistic information from density functional theory calculations. The Journal of Chemical Physics. 146(5). 52822–52822. 29 indexed citations
4.
Maimaiti, Yasheng & Simon D. Elliott. (2016). Kinetics and Coverage Dependent Reaction Mechanisms of the Copper Atomic Layer Deposition from Copper Dimethylamino-2-propoxide and Diethylzinc. Chemistry of Materials. 28(17). 6282–6295. 16 indexed citations
5.
Elliott, Simon D., et al.. (2015). Modeling Mechanism and Growth Reactions for New Nanofabrication Processes by Atomic Layer Deposition. Advanced Materials. 28(27). 5367–5380. 67 indexed citations
6.
Maimaiti, Yasheng & Simon D. Elliott. (2015). Precursor Adsorption on Copper Surfaces as the First Step during the Deposition of Copper: A Density Functional Study with van der Waals Correction. The Journal of Physical Chemistry C. 119(17). 9375–9385. 18 indexed citations
7.
Maimaiti, Yasheng, Michael Nolan, & Simon D. Elliott. (2013). Reduction mechanisms of the CuO(111) surface through surface oxygen vacancy formation and hydrogen adsorption. Physical Chemistry Chemical Physics. 16(7). 3036–3036. 185 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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