Wu Qu

1.9k citations
64 papers · 1.5k · 1 hit paper · h-index 16

Impact in

Papers in

    • Microbial Community Ecology and Physiology 20
    • Coastal wetland ecosystem dynamics 5
    • Genomics and Phylogenetic Studies 7
    • Protist diversity and phylogeny 5

Wu Qu

59 papers receiving 1.5k citations

Wu Qu's Hit Papers

Multi-scale computation methods: Their applications in lithium-ion battery research and development 2016 · 568 citations
5680+3+6Years since publication100200300400500

Peers

Wu Qu
Comparison fields: 5 of 116
  • Automotive Engineering 270
  • Electrical and Electronic Engineering 826
  • Ecology 236
  • Aquatic Science 57
  • Biotechnology 66
Replace Yantao Wang with:
Yantao Wang China
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Yi Liang China
Xiaowei Zhou China
Soonho Lee South Korea
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Arun Banpurkar India
Yiran Ding China
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Wu Qu relative to Yantao Wang China Yantao Wang's profile →
Citations per field
00.5×10×15×19×
Yantao Wang · 1×
Citations per year

Countries citing papers authored by Wu Qu

Since Specialization
Citations

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

Fields of papers citing papers by Wu Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-scale computation methods: Their applications in lithium-ion battery research and development
Hit paper breakdown →
2016568
2 2019139
3 2016130
4 201797
5 201676
6 201474
7 201733
8 202231
9 200327
10 201727
11 201122
12 201821
13 201519
14 201918
15 201818
16 201817
17 202115
18 202215
19 201813
20 202112

About Wu Qu

Wu Qu is a scholar working on Ecology, Molecular Biology, Electrical and Electronic Engineering, Plant Science and Control and Systems Engineering, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (20 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Production and Characterization (7 papers), Seaweed-derived Bioactive Compounds (5 papers), Coastal wetland ecosystem dynamics (5 papers), Protist diversity and phylogeny (5 papers), Industrial Technology and Control Systems (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Automotive Engineering (270 citations), Electrical and Electronic Engineering (826 citations), Ecology (236 citations), Aquatic Science (57 citations) and Biotechnology (66 citations). Wu Qu has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Siqi Shi, Jian Gao, Yan Zhao, Yue Liu, Ruijuan Xiao, Chuying Ouyang, Runying Zeng, Boliang Gao, Min Jin and Rui Zhang. Their work appears in journals such as Frontiers in Microbiology, Journal of Basic Microbiology, Archives of Microbiology, Annals of Nuclear Energy and Marine Drugs.

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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