Tianru Wu
- Materials Chemistry top 2%
- Graphene research and applications 40
- 2D Materials and Applications 22
- MXene and MAX Phase Materials 6
- Diamond and Carbon-based Materials Research 5
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- Advanced Memory and Neural Computing 8
- Semiconductor materials and devices 8
- Advancements in Battery Materials 6
- Biomedical Engineering top 5%
- Graphene and Nanomaterials Applications 6
- Co-authors
- Xiaoming XieHaomin WangMianheng JiangGuangyuan LuHuishan WangQinghong YuanFeng DingHonglie Shen
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Tianru Wu
63 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Materials Chemistry 2.1k
- Electrical and Electronic Engineering 1.1k
- Electronic, Optical and Magnetic Materials 290
- Biomedical Engineering 562
- Renewable Energy, Sustainability and the Environment 135
Countries citing papers authored by Tianru Wu
This map shows the geographic impact of Tianru Wu'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 Tianru Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianru Wu more than expected).
Fields of papers citing papers by Tianru Wu
This network shows the impact of papers produced by Tianru Wu. 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 Tianru Wu. The network helps show where Tianru Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tianru Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 13 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 22 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 96 | |
| 15 | 2020 | 99 | |
| 16 | 2018 | 25 | |
| 17 | 2017 | 129 | |
| 18 | Fast growth of inch-sized single-crystalline graphene from a controlled single nucleus on Cu–Ni alloysbreakdown → | 2015 | 527 |
| 19 | 2014 | 13 | |
| 20 | 2013 | 10 |
About Tianru Wu
Tianru Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Graphene research and applications (40 papers), 2D Materials and Applications (22 papers), Advanced Memory and Neural Computing (8 papers), Semiconductor materials and devices (8 papers), Advancements in Battery Materials (6 papers), MXene and MAX Phase Materials (6 papers), Graphene and Nanomaterials Applications (6 papers) and Diamond and Carbon-based Materials Research (5 papers). The work is most often cited by research in Materials Chemistry (2.1k citations), Electrical and Electronic Engineering (1.1k citations) and Electronic, Optical and Magnetic Materials (290 citations). Tianru Wu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xiaoming Xie, Haomin Wang, Mianheng Jiang, Guangyuan Lu, Huishan Wang, Qinghong Yuan, Feng Ding, Honglie Shen, Qingkai Yu and Xuefu Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and Nature Materials.
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.