Yuting Wu

703 citations
18 papers · 458 · h-index 6

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Oceanography top 10%
    • Geophysics and Gravity Measurements
    • Oceanographic and Atmospheric Processes

Papers in

Yuting Wu

16 papers receiving 437 citations

Peers

Yuting Wu
Comparison fields: 5 of 89
  • Health Informatics 36
  • Oceanography 153
  • Water Science and Technology 133
  • Global and Planetary Change 184
  • Geochemistry and Petrology 22
Replace Antonios Mamalakis with:
Antonios Mamalakis United States
Xiaolong Wang China
Maria C. Neves Portugal
Maike Sonnewald United States
Ting Peng China
Daniela Carrión Italy
Steven Kempler United States
Andreas Schenk Germany
Tian Lan China
Yuting Wu relative to Antonios Mamalakis United States Antonios Mamalakis's profile →
Citations per field
00.5×11×
Antonios Mamalakis · 1×
Citations per year

Countries citing papers authored by Yuting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuting Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuting Wu Line = papers co-authored together Yuting Wu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2008342
2 202343
3 202021
4 202117
5 20058
6 20225
7 20165
8 20213
9 20213
10 20222
11 20252
12 20232
13 20182
14 20241
15
Real-time Testing of On-site Earthquake Early Warning within the California Integrated Seismic Network (CISN) Using Statewide Distributed and On-site Processing
20081
16 20211
17 20250
18 20250

About Yuting Wu

Yuting Wu is a scholar working on Control and Systems Engineering, Signal Processing, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 18 papers that have together received 458 indexed citations. Recurring topics across this work include Caching and Content Delivery (2 papers), Advanced Control Systems Optimization (2 papers), Advanced Malware Detection Techniques (2 papers), Air Quality and Health Impacts (2 papers), Anomaly Detection Techniques and Applications (2 papers), Sleep and Work-Related Fatigue (1 paper), COVID-19 diagnosis using AI (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (36 citations), Oceanography (153 citations), Water Science and Technology (133 citations), Global and Planetary Change (184 citations) and Geochemistry and Petrology (22 citations). Yuting Wu has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Benjamin F. Chao, Fu‐Chun Zheng, Xiaohu You, Yanxiang Jiang, Mehdi Bennis, Xiqi Gao, Yifan Wu, Zhiwei Yan, Yixuan Chen and Zhichen Zhu. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Wireless Communications, Biological Psychology, IEEE Access and Environmental Pollution.

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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