Mengna Wang
Impact in
-
- Electrocatalysts for Energy Conversion
-
- Wound Healing and Treatments
Papers in
-
- Advanced Memory and Neural Computing 11
- Perovskite Materials and Applications 5
-
- Plant Gene Expression Analysis 5
- Plant Reproductive Biology 5
- Co-authors
- Junli Feng (1 shared paper)Shasha Liu (1 shared paper)Chun Li (6 shared papers)Chun-Zhi Jin (1 shared paper)Bing Liang (4 shared papers)Youde Cao (4 shared papers)Qiulei Lang (1 shared paper)Lin Zhang (5 shared papers)
- Journals
- Advanced Functional Materials (3 papers)Tetrahedron Letters (3 papers)Advanced Materials (3 papers)Journal of Materials Research and Technology (2 papers)Applied Catalysis B: Environmental (2 papers)
- Partner nations
- ChinaCanadaSouth Korea
In The Last Decade
Mengna Wang
71 papers receiving 676 citations
Peers
Comparison fields: 5 of 102
- Renewable Energy, Sustainability and the Environment 95
- Rehabilitation 34
- Process Chemistry and Technology 12
- Catalysis 29
- Electrochemistry 21
Countries citing papers authored by Mengna Wang
This map shows the geographic impact of Mengna Wang'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 Mengna Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengna Wang more than expected).
Fields of papers citing papers by Mengna Wang
This network shows the impact of papers produced by Mengna Wang. 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 Mengna Wang. The network helps show where Mengna Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mengna Wang, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 44 | |
| 2 | 2023 | 40 | |
| 3 | 2023 | 39 | |
| 4 | 2019 | 37 | |
| 5 | 2020 | 36 | |
| 6 | 2023 | 35 | |
| 7 | 2024 | 34 | |
| 8 | 2024 | 27 | |
| 9 | 2024 | 26 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2016 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2024 | 16 | |
| 16 | 2024 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 9 |
About Mengna Wang
Mengna Wang is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Plant Science, Materials Chemistry and Renewable Energy, Sustainability and the Environment, having authored 79 papers that have together received 690 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Electrocatalysts for Energy Conversion (9 papers), Plant Molecular Biology Research (7 papers), Neuroscience and Neural Engineering (5 papers), Plant Gene Expression Analysis (5 papers), Plant Reproductive Biology (5 papers), Photoreceptor and optogenetics research (5 papers) and Perovskite Materials and Applications (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (95 citations), Rehabilitation (34 citations), Process Chemistry and Technology (12 citations), Catalysis (29 citations) and Electrochemistry (21 citations). Mengna Wang has collaborated with scholars based in China, Canada and South Korea. Frequent co-authors include Junli Feng, Shasha Liu, Chun Li, Chun-Zhi Jin, Bing Liang, Youde Cao, Qiulei Lang, Lin Zhang, Jianping Lai and Jian Jiang. Their work appears in journals such as Advanced Functional Materials, Tetrahedron Letters, Advanced Materials, Journal of Materials Research and Technology and Applied Catalysis B: Environmental.
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.