Run Shi
Impact in
-
- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials
Papers in
-
- 2D Materials and Applications 19
- MXene and MAX Phase Materials 13
- Graphene research and applications 12
- ZnO doping and properties 10
-
- Perovskite Materials and Applications 11
- Advanced Memory and Neural Computing 8
- Co-authors
- Chun Cheng (54 shared papers)Abbas Amini (38 shared papers)Jingwei Wang (26 shared papers)Weijun Wang (16 shared papers)Ning Wang (21 shared papers)Shuzhang Niu (8 shared papers)Mengtian Jin (6 shared papers)Xian Zhang (8 shared papers)
In The Last Decade
Run Shi
70 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 65
- Renewable Energy, Sustainability and the Environment 888
- Polymers and Plastics 632
- Materials Chemistry 1.5k
- Electrical and Electronic Engineering 1.6k
- Electronic, Optical and Magnetic Materials 354
Countries citing papers authored by Run Shi
This map shows the geographic impact of Run Shi'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 Run Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Run Shi more than expected).
Fields of papers citing papers by Run Shi
This network shows the impact of papers produced by Run Shi. 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 Run Shi. The network helps show where Run Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Run Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 228 | |
| 2 | 2018 | 203 | |
| 3 | 2020 | 170 | |
| 4 | 2020 | 129 | |
| 5 | 2019 | 121 | |
| 6 | 2019 | 113 | |
| 7 | 2020 | 104 | |
| 8 | 2021 | 102 | |
| 9 | 2017 | 99 | |
| 10 | 2021 | 78 | |
| 11 | 2023 | 74 | |
| 12 | 2019 | 58 | |
| 13 | 2021 | 57 | |
| 14 | 2020 | 57 | |
| 15 | 2020 | 57 | |
| 16 | 2021 | 56 | |
| 17 | 2021 | 55 | |
| 18 | 2021 | 53 | |
| 19 | 2019 | 52 | |
| 20 | 2016 | 49 |
About Run Shi
Run Shi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering and Electronic, Optical and Magnetic Materials, having authored 72 papers that have together received 2.8k indexed citations. Recurring topics across this work include 2D Materials and Applications (19 papers), Transition Metal Oxide Nanomaterials (14 papers), MXene and MAX Phase Materials (13 papers), Graphene research and applications (12 papers), Perovskite Materials and Applications (11 papers), ZnO doping and properties (10 papers), Advanced Photocatalysis Techniques (8 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (888 citations), Polymers and Plastics (632 citations), Materials Chemistry (1.5k citations), Electrical and Electronic Engineering (1.6k citations) and Electronic, Optical and Magnetic Materials (354 citations). Run Shi has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Chun Cheng, Abbas Amini, Jingwei Wang, Weijun Wang, Ning Wang, Shuzhang Niu, Mengtian Jin, Xian Zhang, Nan Shen and Bananakere Nanjegowda Chandrashekar. Their work appears in journals such as ACS Nano, Scientific Reports, Materials Today Energy, ACS Applied Materials & Interfaces and Advanced Materials Interfaces.
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.