Y. H. Wan

748 citations
19 papers · 312 indexed · h-index 9

Y. H. Wan

15 papers receiving 284 citations

Peers

Y. H. Wan
Comparison fields: 5 of 44
  • Energy Engineering and Power Technology 30
  • Electrical and Electronic Engineering 246
  • Safety, Risk, Reliability and Quality 36
  • Renewable Energy, Sustainability and the Environment 63
  • General Energy 3
Replace Lina Alhmoud with:
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Mucun Sun United States
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Citations per year

Countries citing papers authored by Y. H. Wan

Since Specialization
Citations

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

Fields of papers citing papers by Y. H. Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. H. Wan. 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 Y. H. Wan. The network helps show where Y. H. Wan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Y. H. Wan, 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 Y. H. Wan Line = papers co-authored together Y. H. Wan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20251
2 20259
3 20251
4 20250
5 20252
6 20250
7 20250
8 201429
9
Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint
20131
10 201179
11
Validation of Hawaii Wind Integration Data Set, NREL (National Renewable Energy Laboratory) (Poster)
201010
12 20031
13
Statistical Wind Power Forecasting Models: Results for U.S. Wind Farms
200397
14 20026
15 20021
16 200211
17
Wind Farm Power Fluctuations, Ancillary Services, and System Operating Impact Analysis Activities in the United States: Preprint
200121
18
Short-Term Power Fluctuation of Wind Turbines: Analyzing Data from the German 250-MW Measurement Program from the Ancillary Services Viewpoint
199935
19
Current experience with net metering programs
19988

About Y. H. Wan

Y. H. Wan is a scholar working on Energy Engineering and Power Technology, Environmental Engineering and Electrical and Electronic Engineering, having authored 19 papers that have together received 312 indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (4 papers), Wind Energy Research and Development (4 papers), Smart Grid Energy Management (3 papers), Energy Load and Power Forecasting (3 papers), Electric Power System Optimization (3 papers), Wind and Air Flow Studies (2 papers), Wind Turbine Control Systems (2 papers) and Building Energy and Comfort Optimization (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (30 citations), Electrical and Electronic Engineering (246 citations) and Safety, Risk, Reliability and Quality (36 citations). Y. H. Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include M. Milligan, M. Schwartz, Brendan Kirby, B. Ernst, B. Parsons, Michael C. Brower, Benjamin Kroposki, Abraham Ellis, Andrew Mills and M. Ahlstrom. Their work appears in journals such as Applied Energy, Journal of Experimental Botany and Journal of Physics D Applied Physics.

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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