Yu‐Chi Wu

2.0k citations
91 papers · 1.3k · h-index 18

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Aquaculture Nutrition and Growth

Papers in

Yu‐Chi Wu

78 papers receiving 1.2k citations

Peers

Yu‐Chi Wu
Comparison fields: 5 of 145
  • Immunology 345
  • Aquatic Science 102
  • Microbiology 70
  • Electrical and Electronic Engineering 496
  • Animal Science and Zoology 84
Replace Shinya Kumagai with:
Shinya Kumagai Japan
Michihiro Kawanishi Japan
Yan Qiao China
Yanfeng Chen China
Gregor Kosec Slovenia
Weili Wang China
M.A. Jabbar Singapore
Robert E. Smith United States
Esteban A. Hernandez‐Vargas Germany
Yu‐Chi Wu relative to Shinya Kumagai Japan Shinya Kumagai's profile →
Citations per field
00.5×11.7×
Shinya Kumagai · 1×
Citations per year

Countries citing papers authored by Yu‐Chi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Chi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu‐Chi 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 Yu‐Chi Wu Line = papers co-authored together Yu‐Chi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994311
2 200999
3 201466
4 200964
5 201455
6 200547
7 201043
8 201438
9 200637
10 201328
11 200925
12 201722
13 201321
14 201321
15 202218
16 201318
17 200118
18 200617
19 200317
20 202017

About Yu‐Chi Wu

Yu‐Chi Wu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Immunology, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (18 papers), Electric Power System Optimization (12 papers), Aquaculture disease management and microbiota (10 papers), Smart Grid Energy Management (8 papers), Power System Optimization and Stability (8 papers), Microgrid Control and Optimization (5 papers), Laser-Plasma Interactions and Diagnostics (5 papers) and IoT-based Smart Home Systems (5 papers). The work is most often cited by research in Immunology (345 citations), Aquatic Science (102 citations), Microbiology (70 citations), Electrical and Electronic Engineering (496 citations) and Animal Science and Zoology (84 citations). Yu‐Chi Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shau-Chi Chi, A. Debs, Roy E. Marsten, Jianbin Huang, Jyh‐Yih Chen, Yifan Lu, Ardeshir Mahdavi, Wei‐Ling Chiang, Feng‐Hsiag Hsiao and Cheng‐Wu Chen. Their work appears in journals such as Fish & Shellfish Immunology, International Journal of Electrical Power & Energy Systems, Sensors, Applied Sciences and Aquaculture.

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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