Tsung-Chih Wu

22 total papers · 884 total citations
17 papers, 660 citations indexed

About

Tsung-Chih Wu is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Chemical Health and Safety. According to data from OpenAlex, Tsung-Chih Wu has authored 17 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 10 papers in Radiological and Ultrasound Technology and 4 papers in Chemical Health and Safety. Recurrent topics in Tsung-Chih Wu's work include Risk and Safety Analysis (11 papers), Occupational Health and Safety Research (10 papers) and Chemical Safety and Risk Management (4 papers). Tsung-Chih Wu is often cited by papers focused on Risk and Safety Analysis (11 papers), Occupational Health and Safety Research (10 papers) and Chemical Safety and Risk Management (4 papers). Tsung-Chih Wu collaborates with scholars based in Taiwan and China. Tsung-Chih Wu's co-authors include Shu-Hsuan Chang, Chia‐Hung Lin, Chi‐Min Shu, Der‐Fa Chen, Yen‐Kuang Kuo, Chun-Ping Lin, Jo‐Ming Tseng, Yun‐Ting Tsai, Wei-Ting Chen and Kai‐Chao Yao and has published in prestigious journals such as Safety Science, Journal of Thermal Analysis and Calorimetry and Journal of Safety Research.

In The Last Decade

Tsung-Chih Wu

17 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Tsung-Chih Wu 520 415 127 108 62 17 660
Seth Ayim Gyekye 489 0.9× 296 0.7× 67 0.5× 97 0.9× 100 1.6× 24 769
Mario Martínez‐Córcoles 400 0.8× 298 0.7× 73 0.6× 144 1.3× 86 1.4× 18 601
Mohammad Tanvi Newaz 410 0.8× 287 0.7× 76 0.6× 81 0.8× 86 1.4× 24 674
Sue Ann Sarpy 515 1.0× 275 0.7× 75 0.6× 60 0.6× 168 2.7× 11 768
Colette N. Severin 484 0.9× 186 0.4× 123 1.0× 115 1.1× 74 1.2× 14 754
Nicole Dedobbeleer 547 1.1× 423 1.0× 125 1.0× 47 0.4× 133 2.1× 20 766
Natalie V. Schwatka 502 1.0× 251 0.6× 99 0.8× 48 0.4× 90 1.5× 44 707
Fakhradin Ghasemi 460 0.9× 376 0.9× 110 0.9× 56 0.5× 120 1.9× 49 724
Ahmad Shahrul Nizam Isha 297 0.6× 174 0.4× 46 0.4× 148 1.4× 114 1.8× 64 748
Dale O. Ritzel 406 0.8× 216 0.5× 94 0.7× 23 0.2× 73 1.2× 25 639

Countries citing papers authored by Tsung-Chih Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Chih Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsung-Chih Wu

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