Ren-Siang Wu

14 total papers · 870 total citations
13 papers, 705 citations indexed

About

Ren-Siang Wu is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Ren-Siang Wu has authored 13 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 4 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Ren-Siang Wu's work include Carbon and Quantum Dots Applications (11 papers), Advanced Nanomaterials in Catalysis (4 papers) and Graphene and Nanomaterials Applications (4 papers). Ren-Siang Wu is often cited by papers focused on Carbon and Quantum Dots Applications (11 papers), Advanced Nanomaterials in Catalysis (4 papers) and Graphene and Nanomaterials Applications (4 papers). Ren-Siang Wu collaborates with scholars based in Taiwan, Denmark and India. Ren-Siang Wu's co-authors include Chih‐Ching Huang, Jui‐Yang Lai, H.‐J. Lin, Yujia Li, Scott G. Harroun, Hong‐Jyuan Jian, Tzu‐Yu Lin, Huan‐Tsung Chang, Shih‐Chun Wei and Binesh Unnikrishnan and has published in prestigious journals such as ACS Nano, Coordination Chemistry Reviews and Carbon.

In The Last Decade

Ren-Siang Wu

13 papers receiving 698 citations

Hit Papers

Super-Cationic Carbon Qua... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ren-Siang Wu 536 257 150 63 58 13 705
Yujie Jiang 350 0.7× 328 1.3× 117 0.8× 89 1.4× 22 0.4× 13 636
Yixin Yu 551 1.0× 416 1.6× 231 1.5× 132 2.1× 14 0.2× 18 882
Manman Liang 392 0.7× 374 1.5× 114 0.8× 56 0.9× 12 0.2× 9 646
Rodney C. Siwale 339 0.6× 259 1.0× 129 0.9× 35 0.6× 42 0.7× 10 746
Daniel Ziental 425 0.8× 384 1.5× 51 0.3× 27 0.4× 16 0.3× 26 745
Mohammad Mahdi Nejadi Babadaei 124 0.2× 202 0.8× 222 1.5× 26 0.4× 29 0.5× 22 627
Antonina Puleo 157 0.3× 94 0.4× 77 0.5× 79 1.3× 78 1.3× 11 798
Nguyen T. K. Thanh 369 0.7× 333 1.3× 209 1.4× 88 1.4× 13 0.2× 18 805
Somayeh Alimohammadi 130 0.2× 249 1.0× 188 1.3× 69 1.1× 18 0.3× 15 717
Yu Sasaki 666 1.2× 201 0.8× 258 1.7× 143 2.3× 23 0.4× 9 809

Countries citing papers authored by Ren-Siang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ren-Siang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren-Siang Wu. 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 Ren-Siang Wu. The network helps show where Ren-Siang Wu may publish in the future.

Co-authorship network of co-authors of Ren-Siang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ren-Siang Wu. A scholar is included among the top collaborators of Ren-Siang Wu 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 Ren-Siang Wu. Ren-Siang Wu 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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