Ming Qing

1.4k citations
39 papers · 1.2k · h-index 17

Impact in

Papers in

Ming Qing

38 papers receiving 1.2k citations

Peers

Ming Qing
Comparison fields: 5 of 34
  • Catalysis 674
  • Renewable Energy, Sustainability and the Environment 300
  • Process Chemistry and Technology 16
  • Electronic, Optical and Magnetic Materials 45
  • Water Science and Technology 39
Replace Yuxue Wei with:
Yuxue Wei China
Runbo Zhao China
Yuhan Sun China
Yuchi Wan China
Xingyou Liang China
Jiuli Guo China
Peipei Wei China
Sreetama Ghosh India
Hee‐Joon Chun South Korea
Rabah Bouarab Algeria
Ming Qing relative to Yuxue Wei China Yuxue Wei's profile →
Citations per field
00.5×5×10×15×22×
Yuxue Wei · 1×
Citations per year

Countries citing papers authored by Ming Qing

Since Specialization
Citations

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

Fields of papers citing papers by Ming Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018296
2 2018120
3 2011104
4 201967
5 201965
6 201359
7 200954
8 202048
9 201841
10 202039
11 201434
12 202021
13 202321
14 201120
15 202020
16 201419
17 201819
18 202417
19 202016
20 201314

About Ming Qing

Ming Qing is a scholar working on Catalysis, Renewable Energy, Sustainability and the Environment, Materials Chemistry, Inorganic Chemistry and Water Science and Technology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Catalysts for Methane Reforming (26 papers), Electrocatalysts for Energy Conversion (6 papers), Catalytic Processes in Materials Science (5 papers), Iron oxide chemistry and applications (2 papers), Boron and Carbon Nanomaterials Research (2 papers), Machine Learning in Materials Science (1 paper), Advanced Chemical Physics Studies (1 paper) and Mesoporous Materials and Catalysis (1 paper). The work is most often cited by research in Catalysis (674 citations), Renewable Energy, Sustainability and the Environment (300 citations), Process Chemistry and Technology (16 citations), Electronic, Optical and Magnetic Materials (45 citations) and Water Science and Technology (39 citations). Ming Qing has collaborated with scholars based in China, Singapore and Saudi Arabia. Frequent co-authors include Yongwang Li, Yong Ping Yang, Chenghua Zhang, Zhi Qun Tian, Xiaoran Zhang, Pei Kang Shen, 吴宝山, Xingwu Liu, Yonghua Du and Qiang Chang. Their work appears in journals such as Journal of Catalysis, Applied Surface Science, Catalysis Today, Fuel and Electrochimica Acta.

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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