Lusha Wang

26 papers receiving 354 citations

Peers

Lusha Wang
Comparison fields: 5 of 85
  • Applied Microbiology and Biotechnology 18
  • Automotive Engineering 52
  • Control and Systems Engineering 70
  • Electrical and Electronic Engineering 171
  • Signal Processing 31
Replace Zhaoqi Wang with:
Zhaoqi Wang China
Han Xiao China
Kohji Higuchi Japan
Seung Hwan Park South Korea
Carlos Frederico Meschini Almeida Brazil
Sean Elphick Australia
Christos Christodoulou Greece
Hooman Erfanian Mazin Canada
Sang-Uk Park South Korea
Lusha Wang relative to Zhaoqi Wang China Zhaoqi Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lusha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lusha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 200851
3 202243
4 202134
5 201825
6 201823
7 202021
8 201917
9 201916
10 202010
11 202410
12 20198
13 20116
14 20236
15 20214
16 20204
17 20143
18 20222
19 20152
20 20092

About Lusha Wang

Lusha Wang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Information Systems and Renewable Energy, Sustainability and the Environment, having authored 30 papers that have together received 363 indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (6 papers), Optimal Power Flow Distribution (3 papers), Advanced Battery Technologies Research (2 papers), Transportation and Mobility Innovations (2 papers), Advanced Photocatalysis Techniques (2 papers), Remote Sensing in Agriculture (2 papers), Smart Grid Energy Management (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Automotive Engineering (52 citations), Control and Systems Engineering (70 citations), Electrical and Electronic Engineering (171 citations) and Signal Processing (31 citations). Lusha Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Noel N. Schulz, Anurag K. Srivastava, Zhi Zhou, Assefaw H. Gebremedhin, Anamika Dubey, Jonghwan Kwon, Richard Chow, Xiaofeng Wang, Markus Jakobsson and Philippe Golle. Their work appears in journals such as Infection Control and Hospital Epidemiology, IEEE Transactions on Smart Grid, Chemical Engineering Science, IEEE Transactions on Sustainable Energy and Journal of Clinical Oncology.

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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