Tzuhsiung Yang

1.5k total citations
28 papers, 1.1k citations indexed

About

Tzuhsiung Yang is a scholar working on Materials Chemistry, Inorganic Chemistry and Organic Chemistry. According to data from OpenAlex, Tzuhsiung Yang has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 11 papers in Inorganic Chemistry and 9 papers in Organic Chemistry. Recurrent topics in Tzuhsiung Yang's work include Metal-Catalyzed Oxygenation Mechanisms (8 papers), Electrocatalysts for Energy Conversion (7 papers) and Machine Learning in Materials Science (6 papers). Tzuhsiung Yang is often cited by papers focused on Metal-Catalyzed Oxygenation Mechanisms (8 papers), Electrocatalysts for Energy Conversion (7 papers) and Machine Learning in Materials Science (6 papers). Tzuhsiung Yang collaborates with scholars based in United States, Taiwan and United Kingdom. Tzuhsiung Yang's co-authors include John F. Berry, Heather J. Kulik, Chenru Duan, Aditya Nandy, Jon Paul Janet, David P. Goldberg, Jennifer M. Schomaker, Sam P. de Visser, Matthew G. Quesne and Heather M. Neu and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Tzuhsiung Yang

27 papers receiving 1.1k citations

Peers

Tzuhsiung Yang
Comparison fields: 5 of 83
  • Materials Chemistry 519
  • Inorganic Chemistry 417
  • Organic Chemistry 406
  • Renewable Energy, Sustainability and the Environment 172
  • Computational Theory and Mathematics 167
Replace Giovanni Occhipinti with:
Giovanni Occhipinti Norway
Daniel Bím Czechia
Anat Milo Israel
Mireia Rodriguez‐Zubiri France
Philipp J. Altmann Germany
Mikhail V. Polynski Russia
Steven M. Bischof United States
Lionel Cheruzel United States
Patrick J. Donoghue United States
Alfred Muller South Africa
Giovanni Occhipinti Norway View profile →
Citations per field, relative to Tzuhsiung Yang
Tzuhsiung Yang · 1×
Citations per year, relative to Tzuhsiung Yang
Tzuhsiung Yang · 1×

Countries citing papers authored by Tzuhsiung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tzuhsiung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzuhsiung Yang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 2
4 1
5 6
6 7
7 7
8 9
9 44
10 44
11 153
12 82
13 54
14 28
15 83
16 47
17 29
18 29
19 77
20 56

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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