Siya Zhu

30 total papers · 515 total citations
15 papers, 447 citations indexed

About

Siya Zhu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Metals and Alloys. According to data from OpenAlex, Siya Zhu has authored 15 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 3 papers in Metals and Alloys. Recurrent topics in Siya Zhu's work include Machine Learning in Materials Science (7 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers) and Perovskite Materials and Applications (3 papers). Siya Zhu is often cited by papers focused on Machine Learning in Materials Science (7 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers) and Perovskite Materials and Applications (3 papers). Siya Zhu collaborates with scholars based in United States, China and Taiwan. Siya Zhu's co-authors include Yao Wu, Pei Cheng, Xiaowei Zhan, Yifan Wang, Huitao Bai, Zaiyu Wang, Wei Ma, Qian Wang, Axel van de Walle and Chunru Wang and has published in prestigious journals such as The Journal of Chemical Physics, Energy & Environmental Science and Acta Materialia.

In The Last Decade

Siya Zhu

15 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Siya Zhu	363	319	93	38	36	15	447
John W. Murphy	296 0.8×	170 0.5×	158 1.7×	42 1.1×	31 0.9×	21	476
Yong‐Jin Kang	343 0.9×	213 0.7×	134 1.4×	61 1.6×	34 0.9×	23	510
D.J. Bannister	352 1.0×	279 0.9×	96 1.0×	57 1.5×	13 0.4×	15	515
Xin Zhao	346 1.0×	284 0.9×	148 1.6×	22 0.6×	37 1.0×	23	496
Tingxing Zhao	329 0.9×	286 0.9×	72 0.8×	78 2.1×	9 0.3×	24	466
Moneim Elshobaki	353 1.0×	158 0.5×	196 2.1×	13 0.3×	16 0.4×	19	434
Luigi Salamandra	383 1.1×	230 0.7×	129 1.4×	19 0.5×	11 0.3×	17	472
M. Mottaghi	371 1.0×	108 0.3×	86 0.9×	7 0.2×	35 1.0×	16	471
Yoshiki Kinoshita	448 1.2×	263 0.8×	139 1.5×	28 0.7×	18 0.5×	13	535
Dongyuan Ni	429 1.2×	105 0.3×	276 3.0×	23 0.6×	10 0.3×	21	534

Countries citing papers authored by Siya Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Siya Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siya Zhu

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