Duo Cui

2.2k citations
26 papers · 919 · 1 hit paper · h-index 12

Impact in

Papers in

Duo Cui

24 papers receiving 884 citations

Duo Cui's Hit Papers

Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic 2020 · 570 citations
5700+2+4Years since publication100200300400500

Peers

Duo Cui
Comparison fields: 5 of 105
  • Global and Planetary Change 372
  • Health, Toxicology and Mutagenesis 234
  • Environmental Engineering 165
  • Modeling and Simulation 30
  • Economics and Econometrics 162
Replace Chenxi Lu with:
Chenxi Lu China
Hemant Bherwani India
Xinyi Niu China
Yu Gan China
Ruixue Lei United States
Eulalie Boucher France
Yuhui Wu China
Biqing Zhu China
Piyu Ke China
Duo Cui relative to Chenxi Lu China Chenxi Lu's profile →
Citations per field
00.5×1.5×
Chenxi Lu · 1×
Citations per year

Countries citing papers authored by Duo Cui

Since Specialization
Citations

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

Fields of papers citing papers by Duo Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic
Hit paper breakdown →
2020570
2 201957
3 202145
4 202333
5 201631
6 200429
7 199418
8 199417
9 199417
10 199114
11 201314
12 202012
13 201112
14 199510
15 19948
16 20026
17 20216
18 20216
19 19943
20 20023

About Duo Cui

Duo Cui is a scholar working on Condensed Matter Physics, Global and Planetary Change, Health, Toxicology and Mutagenesis, Atomic and Molecular Physics, and Optics and Pollution, having authored 26 papers that have together received 919 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (9 papers), Air Quality and Health Impacts (4 papers), COVID-19 impact on air quality (3 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Atmospheric chemistry and aerosols (2 papers), Semiconductor Quantum Structures and Devices (2 papers), Diamond and Carbon-based Materials Research (2 papers) and Copper Interconnects and Reliability (2 papers). The work is most often cited by research in Global and Planetary Change (372 citations), Health, Toxicology and Mutagenesis (234 citations), Environmental Engineering (165 citations), Modeling and Simulation (30 citations) and Economics and Econometrics (162 citations). Duo Cui has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhu Liu, Zhu Deng, Zhen Ma, Wei Mao, Ge Yang, Yongjun Tian, Hui Lu, Yifeng Zhou, Xueyong Zhao and Yulin Li. Their work appears in journals such as Applied Physics Letters, Superconductor Science and Technology, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Nature Communications and Nature Astronomy.

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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