Jay Liu

5.4k total citations · 1 hit paper
162 papers, 4.0k citations indexed

About

Jay Liu is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology and Biomedical Engineering. According to data from OpenAlex, Jay Liu has authored 162 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 33 papers in Energy Engineering and Power Technology and 31 papers in Biomedical Engineering. Recurrent topics in Jay Liu's work include Hybrid Renewable Energy Systems (32 papers), Electric Vehicles and Infrastructure (18 papers) and Spectroscopy and Chemometric Analyses (18 papers). Jay Liu is often cited by papers focused on Hybrid Renewable Energy Systems (32 papers), Electric Vehicles and Infrastructure (18 papers) and Spectroscopy and Chemometric Analyses (18 papers). Jay Liu collaborates with scholars based in South Korea, United States and Canada. Jay Liu's 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 and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and The EMBO Journal.

In The Last Decade

Jay Liu

154 papers receiving 3.9k citations

Hit Papers

Image texture analysis: methods and comparisons 2004 2026 2011 2018 2004 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Image texture analysis: methods and comparisons
    2004 395 citations Jay Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jay Liu South Korea 35 811 758 632 497 476 162 4.0k
Haralambos Sarimveis Greece 42 510 0.6× 271 0.4× 842 1.3× 203 0.4× 142 0.3× 153 5.1k
Seungho Lee South Korea 41 352 0.4× 742 1.0× 942 1.5× 156 0.3× 156 0.3× 408 5.6k
Brent R. Young New Zealand 44 466 0.6× 1.4k 1.8× 408 0.6× 67 0.1× 266 0.6× 279 6.8k
Ví­ctor M. Zavala United States 38 317 0.4× 471 0.6× 1.4k 2.2× 170 0.3× 112 0.2× 218 6.3k
M.A. Hussain Malaysia 40 403 0.5× 1.1k 1.5× 1.6k 2.6× 206 0.4× 344 0.7× 265 7.0k
Ali Abbas Australia 40 415 0.5× 1.4k 1.9× 422 0.7× 193 0.4× 71 0.1× 172 5.2k
Lian Li China 40 1.3k 1.6× 859 1.1× 1.2k 1.9× 39 0.1× 701 1.5× 281 6.4k
Sandro Macchietto United Kingdom 34 435 0.5× 692 0.9× 232 0.4× 77 0.2× 206 0.4× 129 3.9k
Christoph Herwig Austria 39 3.9k 4.9× 1.5k 2.0× 125 0.2× 111 0.2× 338 0.7× 241 6.0k
Jong Min Lee South Korea 40 1.0k 1.3× 1.4k 1.8× 1.0k 1.6× 45 0.1× 154 0.3× 379 6.0k

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 of co-authors of Jay Liu

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

All Works

20 of 20 papers shown
1.
Liu, Jay, et al.. (2025). A novel feature adaptive meta-model for efficient remaining useful life prediction of lithium-ion batteries. Journal of Energy Storage. 114. 115715–115715. 2 indexed citations
2.
Akhtar, Malik Sajawal, et al.. (2024). Post COVID-19 and Korea hydrogen economy roadmap 2040: Challenges and the way forward. International Journal of Hydrogen Energy. 137. 882–891. 4 indexed citations
3.
Ifaei, Pouya, et al.. (2024). The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning. Chemical Engineering Journal. 497. 154464–154464. 3 indexed citations
4.
Na, Jonggeol, et al.. (2024). Maximizing biomass utilization: An integrated strategy for coproducing multiple chemicals. Journal of Energy Chemistry. 100. 180–191. 14 indexed citations
5.
Khaligh, Vahid, et al.. (2024). Multi-period hydrogen supply chain planning for advancing hydrogen transition roadmaps. Renewable and Sustainable Energy Reviews. 200. 114536–114536. 20 indexed citations
6.
Hajipour, Ehsan, et al.. (2024). Congestion management in rooftop photovoltaic-based multi-microgrids via an energy storage charging market. Journal of Energy Storage. 97. 112723–112723. 6 indexed citations
7.
8.
Mazraedoost, Sargol, et al.. (2024). Integrative computational pipeline for identifying binding‐enhancing mutations targeting the MBD2 –p66α interaction: Implications for therapeutic applications. Bulletin of the Korean Chemical Society. 46(1). 57–68. 1 indexed citations
9.
Khaligh, Vahid, et al.. (2023). P-robust energy management of a multi-energy microgrid enabled with energy conversions under various uncertainties. Energy. 271. 127084–127084. 18 indexed citations
10.
Khaligh, Vahid, et al.. (2023). Optimal integration of a low-carbon energy system – A circular hydrogen economy perspective. Energy Conversion and Management. 292. 117354–117354. 39 indexed citations
11.
Khaligh, Vahid, et al.. (2023). Efficient integration of alkaline water electrolyzer – A model predictive control approach for a sustainable low-carbon district heating system. Energy Conversion and Management. 292. 117404–117404. 24 indexed citations
12.
Niaz, Haider, et al.. (2023). Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning. Energy. 284. 128623–128623. 35 indexed citations
13.
Kim, Junghwan, et al.. (2023). A lignocellulosic 2,3-butanediol strategy: Process development and integrative analyses. Journal of environmental chemical engineering. 11(3). 110085–110085. 22 indexed citations
14.
15.
Dickson, Rofice, et al.. (2021). Optimal Design of the Biofuel Supply Chain Utilizing Multiple Feedstocks: A Korean Case Study. ACS Sustainable Chemistry & Engineering. 9(44). 14690–14703. 9 indexed citations
16.
17.
Akhtar, Malik Sajawal, Rofice Dickson, & Jay Liu. (2021). Life Cycle Assessment of Inland Green Hydrogen Supply Chain Networks with Current Challenges and Future Prospects. ACS Sustainable Chemistry & Engineering. 9(50). 17152–17163. 66 indexed citations
18.
Choi, Chang Yong, et al.. (2017). Numerical Simulation of Catalyst Regeneration Process for Desulfurization Reactor. Clean Technology. 23(2). 140–147.
19.
Liu, Jay & Hyun-Woo Cho. (2011). Machine vision in Process Systems Engineering. International Conference on Control, Automation and Systems. 1344–1349. 1 indexed citations
20.
Liu, Jay, et al.. (2008). A High-Throughput Functional Assay for Characterization of γ -Aminobutyric Acid A Channel Modulators Using Cryopreserved Transiently Transfected Cells. Assay and Drug Development Technologies. 0(0). 3527819937–6. 1 indexed citations

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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