Maxim Lu

490 citations
16 papers · 375 · h-index 9

Impact in

Papers in

    • Wireless Power Transfer Systems 11
    • Energy Harvesting in Wireless Networks 10
    • Electric Vehicles and Infrastructure 4
    • Smart Grid Energy Management 2
    • Power Transformer Diagnostics and Insulation 2
    • Advanced Electrical Measurement Techniques 1
    • Advanced Battery Technologies Research 11

Maxim Lu

14 papers receiving 368 citations

Peers

Maxim Lu
Comparison fields: 5 of 32
  • Automotive Engineering 132
  • Electrical and Electronic Engineering 309
  • Aerospace Engineering 109
  • Energy Engineering and Power Technology 10
  • Computer Vision and Pattern Recognition 30
Replace Zongze Li with:
Zongze Li China
V. Nardi Italy
Amar Bousbaine United Kingdom
Pengyuan Qi China
Jiahui Chen China
Weiqiang Chen United States
Hongyu Zhu China
Cristian Napole Spain
Zhihong Wu China
Juan M. Arteaga United Kingdom
Maxim Lu relative to Zongze Li China Zongze Li's profile →
Citations per field
00.5×8.3×
Zongze Li · 1×
Citations per year

Countries citing papers authored by Maxim Lu

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Maxim Lu, 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 Maxim Lu Line = papers co-authored together Maxim Lu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018197
2 201845
3 202030
4 201925
5 201716
6 201713
7 202013
8 20199
9 20179
10 20188
11 20207
12 20181
13 20191
14 20181
15 20180
16 20190

About Maxim Lu

Maxim Lu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Materials Chemistry, Control and Systems Engineering and Ocean Engineering, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (11 papers), Wireless Power Transfer Systems (11 papers), Energy Harvesting in Wireless Networks (10 papers), Electric Vehicles and Infrastructure (4 papers), Smart Grid Energy Management (2 papers), Power Transformer Diagnostics and Insulation (2 papers), High voltage insulation and dielectric phenomena (2 papers) and Advanced Electrical Measurement Techniques (1 paper). The work is most often cited by research in Automotive Engineering (132 citations), Electrical and Electronic Engineering (309 citations), Aerospace Engineering (109 citations), Energy Engineering and Power Technology (10 citations) and Computer Vision and Pattern Recognition (30 citations). Maxim Lu has collaborated with scholars based in Kazakhstan, Iran and Australia. Frequent co-authors include Mehdi Bagheri, B.T. Phung, Alex Pappachen James, Oveis Abedinia, Miadreza Shafie‐khah, Noradin Ghadimi, João P. S. Catalào, Ahmad Darabi, Mohammad Salay Naderi and Gevork B. Gharehpetian. Their work appears in journals such as IEEE Access, IEEE Electrical Insulation Magazine, Energies, IET Smart Grid and Frontiers in 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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