Tianyu Wu

1.4k citations
8 papers · 820 indexed · 1 hit paper · h-index 5
Topics
Topic Modeling (2 papers)Data Quality and Management (2 papers)Tunneling and Rock Mechanics (1 paper)
Partner nations
ChinaAustraliaGermany

In The Last Decade

Tianyu Wu

6 papers receiving 780 citations

Hit Papers

A Brief Overview of ChatGPT: The History, Status Quo and ...20232026202420252023250500750

Peers

Tianyu Wu
Comparison fields: 5 of 138
  • Artificial Intelligence 347
  • Health Informatics 242
  • Radiology, Nuclear Medicine and Imaging 79
  • Computer Science Applications 76
  • Information Systems 76
Replace Weixin Liang with:
Weixin Liang United States
Shizhu He China
Rita Frieske Hong Kong
Nikolaos D. Tselikas Greece
Konstantinos I. Roumeliotis Greece
Etsuko Ishii Hong Kong
Emily Reif United States
Kaijie Zhu China
Md. Mostafizer Rahman Japan
Linyi Yang China
Tianyu Wu relative to Weixin Liang United States Weixin Liang's profile →
Citations per field
00.5×1.7×
Weixin Liang · 1×
Citations per year

Countries citing papers authored by Tianyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tianyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyu Wu

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 8
2 4
3 14
4 1
5 0
6 0
7
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Developmentbreakdown →
776
8 17

About Tianyu Wu

Tianyu Wu is a scholar working on Health Informatics, Management Science and Operations Research and Radiological and Ultrasound Technology, having authored 8 papers that have together received 820 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Data Quality and Management (2 papers) and Tunneling and Rock Mechanics (1 paper). The work is most often cited by research in Health Informatics (242 citations), Computer Science Applications (76 citations) and Artificial Intelligence (347 citations). Tianyu Wu has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Yang Tang, Kang Liu, Qing‐Long Han, Siqi Sun, Shizhu He, Jingping Liu, Qiyu Sun, Jie Liu, Min Zhou and Qi Chen. Their work appears in journals such as Nature Communications, IEEE Transactions on Biomedical Engineering and Electronics.

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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