Jay Liu

5.4k citations
162 papers · 4.0k indexed · 1 hit paper · h-index 35

Jay Liu

154 papers receiving 3.9k citations

Hit Papers

Image texture analysis: methods and comparisons3952004202620112018100200300

Peers

Jay Liu
Comparison fields: 5 of 189
  • Energy Engineering and Power Technology 497
  • Analytical Chemistry 476
  • Renewable Energy, Sustainability and the Environment 371
  • Industrial and Manufacturing Engineering 222
  • Pollution 242
Replace Brent R. Young with:
Brent R. Young New Zealand
Haralambos Sarimveis Greece
Ví­ctor M. Zavala United States
M.A. Hussain Malaysia
Christoph Herwig Austria
Pin Jern Ker Malaysia
K.J. Chua Singapore
Jay H. Lee South Korea
Jie Zhang United Kingdom
Yaodong Wang United Kingdom
Jay Liu relative to Brent R. Young New Zealand Brent R. Young's profile →
Citations per field
00.5×7.4×
Brent R. Young · 1×
Citations per year

Countries citing papers authored by Jay Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jay Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 20243
4 202414
5 202420
6 20246
7 20243
8 20241
9 202318
10 202339
11 202324
12 202335
13 202322
14 202240
15 20219
16 202130
17 202166
18 20170
19
Machine vision in Process Systems Engineering
20111
20 20081

About Jay Liu

Jay Liu is a scholar working on Energy Engineering and Power Technology, Analytical Chemistry, Industrial and Manufacturing Engineering, Pollution and Control and Systems Engineering, having authored 162 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hybrid Renewable Energy Systems (32 papers), Electric Vehicles and Infrastructure (18 papers), Spectroscopy and Chemometric Analyses (18 papers), Smart Grid Energy Management (16 papers), Biofuel production and bioconversion (16 papers), Biodiesel Production and Applications (14 papers), Energy and Environment Impacts (14 papers) and Microgrid Control and Optimization (13 papers). The work is most often cited by research in Energy Engineering and Power Technology (497 citations), Analytical Chemistry (476 citations), Renewable Energy, Sustainability and the Environment (371 citations), Industrial and Manufacturing Engineering (222 citations) and Pollution (242 citations). Jay Liu has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include John F. MacGregor, Haider Niaz, Rofice Dickson, Peyman Fasahati, Petar Žuvela, Malik Sajawal Akhtar, Carl Duchesne, Tomasz Bączek, Wangyun Won and Jonggeol Na. Their work appears in journals such as ACS Sustainable Chemistry & Engineering, Industrial & Engineering Chemistry Research, Journal of Energy Storage, Energy Conversion and Management and Applied Energy.

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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