Suwan Zhu

41 total papers · 1.1k total citations
38 papers, 949 citations indexed

About

Suwan Zhu is a scholar working on Surfaces, Coatings and Films, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Suwan Zhu has authored 38 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surfaces, Coatings and Films, 14 papers in Electrical and Electronic Engineering and 13 papers in Computational Mechanics. Recurrent topics in Suwan Zhu's work include Surface Modification and Superhydrophobicity (27 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Fluid Dynamics and Heat Transfer (8 papers). Suwan Zhu is often cited by papers focused on Surface Modification and Superhydrophobicity (27 papers), Advanced Sensor and Energy Harvesting Materials (9 papers) and Fluid Dynamics and Heat Transfer (8 papers). Suwan Zhu collaborates with scholars based in China, United States and Hong Kong. Suwan Zhu's co-authors include Dong Wu, Yanlei Hu, Jiawen Li, Jiaru Chu, Chao Chen, Zhouchen Huang, Yunlong Jiao, Yucheng Bian, Jun Zhuang and Xiaolong Liu and has published in prestigious journals such as Nano Letters, ACS Nano and Applied Physics Letters.

In The Last Decade

Suwan Zhu

37 papers receiving 923 citations

Author Peers

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

Author						Papers	Cites
Suwan Zhu	465	425	303	251	196	38	949
Yuankai Jin	618 1.3×	462 1.1×	439 1.4×	214 0.9×	76 0.4×	36	1.1k
Haoyu Dai	587 1.3×	344 0.8×	341 1.1×	216 0.9×	128 0.7×	29	959
Zhipeng Wu	284 0.6×	274 0.6×	382 1.3×	185 0.7×	456 2.3×	38	1.2k
Sanha Kim	167 0.4×	557 1.3×	306 1.0×	92 0.4×	231 1.2×	71	1.1k
Pu Guo	468 1.0×	296 0.7×	205 0.7×	93 0.4×	208 1.1×	35	1.0k
Shuang Ben	442 1.0×	313 0.7×	269 0.9×	131 0.5×	294 1.5×	19	858
Frederick F. Lange	185 0.4×	255 0.6×	351 1.2×	157 0.6×	484 2.5×	27	1.0k
Guannan Ju	587 1.3×	455 1.1×	162 0.5×	88 0.4×	230 1.2×	46	1.1k
Guanlei Zhao	376 0.8×	321 0.8×	324 1.1×	172 0.7×	137 0.7×	33	952
Khalid Eid	289 0.6×	199 0.5×	307 1.0×	228 0.9×	218 1.1×	40	943

Countries citing papers authored by Suwan Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Suwan Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwan Zhu

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