Mingjie Liu
- Renewable Energy, Sustainability and the Environment top 0.5%
- Materials Chemistry top 2%
- Catalysis top 0.5%
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Co-authors
- Boris I. YakobsonPulickel M. AjayanJingjie WuJun LouXiaolong ZouXiao‐Dong ZhouRam Manohar YadavPranav P. Sharma
- Topics
- Electrocatalysts for Energy Conversion (19 papers)Advanced Photocatalysis Techniques (11 papers)Machine Learning in Materials Science (10 papers)
- Cited by
- CatalysisRenewable Energy, Sustainability and the EnvironmentProcess Chemistry and Technology
- Journals
- Chemical ReviewsJournal of the American Chemical SocietyAngewandte Chemie International Edition
- Partner nations
- United StatesChinaIndia
In The Last Decade
Mingjie Liu
60 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Renewable Energy, Sustainability and the Environment 3.4k
- Materials Chemistry 1.8k
- Catalysis 1.5k
- Electrical and Electronic Engineering 1.4k
- Electronic, Optical and Magnetic Materials 277
Countries citing papers authored by Mingjie Liu
This map shows the geographic impact of Mingjie Liu'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 Mingjie Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjie Liu more than expected).
Fields of papers citing papers by Mingjie Liu
This network shows the impact of papers produced by Mingjie Liu. 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 Mingjie Liu. The network helps show where Mingjie Liu may publish in the future.
Co-authorship network of co-authors of Mingjie Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie Liu. A scholar is included among the top collaborators of Mingjie Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingjie Liu. Mingjie Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 20 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | Stable and Efficient Single-Atom Zn Catalyst for CO2 Reduction to CH4breakdown → | 464 |
| 19 | 75 | |
| 20 | 41 |
About Mingjie Liu
Mingjie Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Materials Chemistry, having authored 65 papers that have together received 4.4k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (19 papers), Advanced Photocatalysis Techniques (11 papers) and Machine Learning in Materials Science (10 papers). The work is most often cited by research in Catalysis (1.5k citations), Renewable Energy, Sustainability and the Environment (3.4k citations) and Process Chemistry and Technology (276 citations). Mingjie Liu has collaborated with scholars based in United States, China and India. Frequent co-authors include Boris I. Yakobson, Pulickel M. Ajayan, Jingjie Wu, Jun Lou, Xiaolong Zou, Xiao‐Dong Zhou, Ram Manohar Yadav, Pranav P. Sharma, Qin Wu and Chandra Sekhar Tiwary. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.