Shuchang Wu

42 total papers · 1.2k total citations
35 papers, 1.1k citations indexed

About

Shuchang Wu is a scholar working on Materials Chemistry, Organic Chemistry and Catalysis. According to data from OpenAlex, Shuchang Wu has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 23 papers in Organic Chemistry and 11 papers in Catalysis. Recurrent topics in Shuchang Wu's work include Nanomaterials for catalytic reactions (20 papers), Catalytic Processes in Materials Science (16 papers) and Ammonia Synthesis and Nitrogen Reduction (8 papers). Shuchang Wu is often cited by papers focused on Nanomaterials for catalytic reactions (20 papers), Catalytic Processes in Materials Science (16 papers) and Ammonia Synthesis and Nitrogen Reduction (8 papers). Shuchang Wu collaborates with scholars based in China, Germany and United States. Shuchang Wu's co-authors include Dang Sheng Su, Guodong Wen, Robert Schlögl, Feng Peng, Yangming Lin, Chunli Dai, Zailai Xie, Bo Li, Linghui Yu and Bingsen Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, ACS Nano and Chemical Communications.

In The Last Decade

Shuchang Wu

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shuchang Wu 695 474 363 230 220 35 1.1k
Man Yuan 594 0.9× 495 1.0× 292 0.8× 217 0.9× 276 1.3× 26 1.0k
Xuefeng Guo 485 0.7× 511 1.1× 485 1.3× 258 1.1× 162 0.7× 32 1.3k
Dharitri Rath 855 1.2× 388 0.8× 499 1.4× 107 0.5× 361 1.6× 25 1.3k
Ping Dai 926 1.3× 349 0.7× 430 1.2× 296 1.3× 205 0.9× 36 1.5k
Yaşar Karataş 849 1.2× 264 0.6× 351 1.0× 294 1.3× 247 1.1× 42 1.1k
Mohamad El-Roz 752 1.1× 487 1.0× 518 1.4× 113 0.5× 277 1.3× 55 1.3k
C. Ragupathi 885 1.3× 236 0.5× 265 0.7× 103 0.4× 354 1.6× 41 1.2k
Dávid Srankó 487 0.7× 190 0.4× 481 1.3× 215 0.9× 113 0.5× 30 965
Dmytro Lisovytskiy 647 0.9× 346 0.7× 574 1.6× 134 0.6× 149 0.7× 51 1.2k
Emmanuel Briot 672 1.0× 263 0.6× 210 0.6× 141 0.6× 231 1.1× 33 1.2k

Countries citing papers authored by Shuchang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuchang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchang Wu

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