Long Qu

1.4k citations
44 papers · 1.2k · h-index 20

Impact in

Papers in

Long Qu

43 papers receiving 1.2k citations

Peers

Long Qu
Comparison fields: 5 of 72
  • Automotive Engineering 411
  • Electrical and Electronic Engineering 1.0k
  • Electronic, Optical and Magnetic Materials 170
  • Polymers and Plastics 119
  • Catalysis 47
Replace William A. Paxton with:
William A. Paxton United States
Eric J. McShane United States
Baohua Li China
Guocheng Li China
Zhengfeng Zhang China
Patrick T. Moseley United States
Shuaishuai Yan China
Minkyu Kim South Korea
Alex Bates United States
Dongsheng Lu China
Long Qu relative to William A. Paxton United States William A. Paxton's profile →
Citations per field
00.5×7.6×
William A. Paxton · 1×
Citations per year

Countries citing papers authored by Long Qu

Since Specialization
Citations

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

Fields of papers citing papers by Long Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020199
2 2020135
3 201875
4 201975
5 202058
6 201657
7 201949
8 201946
9 201543
10 201239
11 201137
12 201636
13 202030
14 201828
15 201926
16 201326
17 202425
18 201524
19 201522
20 202120

About Long Qu

Long Qu is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Geophysics, Ocean Engineering and Mechanical Engineering, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (26 papers), Advancements in Battery Materials (26 papers), Advanced Battery Technologies Research (11 papers), Seismic Imaging and Inversion Techniques (6 papers), Extraction and Separation Processes (4 papers), Advanced battery technologies research (4 papers), Drilling and Well Engineering (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Automotive Engineering (411 citations), Electrical and Electronic Engineering (1.0k citations), Electronic, Optical and Magnetic Materials (170 citations), Polymers and Plastics (119 citations) and Catalysis (47 citations). Long Qu has collaborated with scholars based in China, United States and France. Frequent co-authors include Mingtao Li, Xiaolu Tian, Yikun Yi, Pei Liu, Yang Pu, Shaohua Fang, Li Yang, Te Wang, Shin‐ichi Hirano and Binren Fang. Their work appears in journals such as Journal of Power Sources, Electrochimica Acta, Journal of Materials Chemistry A, Applied Sciences and ChemElectroChem.

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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