E.W.C. Lo

830 citations
12 papers · 662 · h-index 7

Impact in

Papers in

E.W.C. Lo

12 papers receiving 626 citations

Peers

E.W.C. Lo
Comparison fields: 5 of 56
  • Automotive Engineering 429
  • Control and Systems Engineering 186
  • Electrical and Electronic Engineering 430
  • Computational Theory and Mathematics 64
  • Artificial Intelligence 92
Replace Hui Cai with:
Hui Cai China
Lucio Ippolito Italy
Yu Yan China
R. Saravanakumar India
Zhenyu Sun China
B.K. Powell United States
Padmanabh Thakur India
Shixi Wen China
Yie‐Tone Chen Taiwan
Kwangrae Kim South Korea
E.W.C. Lo relative to Hui Cai China Hui Cai's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by E.W.C. Lo

Since Specialization
Citations

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

Fields of papers citing papers by E.W.C. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.W.C. Lo. 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 E.W.C. Lo. The network helps show where E.W.C. Lo may publish in the future.

Co-authors

The 15 scholars most cited alongside E.W.C. Lo, 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 E.W.C. Lo Line = papers co-authored together E.W.C. Lo links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2005172
2 2000167
3 2002104
4 200298
5 200565
6 200233
7 20048
8 19974
9 20054
10
Intermittent nature of PV system: the applications of dynamic modelling in smart grid
20113
11
Integration of BIPV systems and load management
20092
12 20062

About E.W.C. Lo

E.W.C. Lo is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, having authored 12 papers that have together received 662 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (5 papers), Electric and Hybrid Vehicle Technologies (3 papers), Electric Vehicles and Infrastructure (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Smart Grid Energy Management (2 papers), Fuel Cells and Related Materials (1 paper) and Topology Optimization in Engineering (1 paper). The work is most often cited by research in Automotive Engineering (429 citations), Control and Systems Engineering (186 citations), Electrical and Electronic Engineering (430 citations), Computational Theory and Mathematics (64 citations) and Artificial Intelligence (92 citations). E.W.C. Lo has collaborated with scholars based in Hong Kong, China and Brazil. Frequent co-authors include Weixiang Shen, C.C. Chan, K. T. Chau, S. L. Ho, Shiyou Yang, Guangzheng Ni, Heung Wong, Clw Chan, Kwok Ho Lam and J.M. Machado. Their work appears in journals such as IEEE Transactions on Magnetics, Journal of Power Sources, IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Electronics and Energy Conversion and Management.

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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