Datao Wang
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
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- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
Papers in
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- Advanced Battery Technologies Research 6
- Genetics 8
- Animal Genetics and Reproduction 6
- Virus-based gene therapy research 3
- Co-authors
- Jiaping Wang (9 shared papers)Kaili Jiang (9 shared papers)Shoushan Fan (10 shared papers)Qunqing Li (9 shared papers)Yufeng Luo (8 shared papers)Weibang Kong (5 shared papers)Lingjia Yan (4 shared papers)Chunyi Li (18 shared papers)
- Journals
- Carbon (3 papers)Advanced Functional Materials (2 papers)Nanoscale (2 papers)PLoS ONE (2 papers)Frontiers in Bioscience-Landmark (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Datao Wang
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 125
- Automotive Engineering 263
- Electrical and Electronic Engineering 823
- Electronic, Optical and Magnetic Materials 214
- Urology 51
- Cancer Research 61
Countries citing papers authored by Datao Wang
This map shows the geographic impact of Datao 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 Datao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Datao Wang more than expected).
Fields of papers citing papers by Datao Wang
This network shows the impact of papers produced by Datao 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 Datao Wang. The network helps show where Datao Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Datao 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 364 | |
| 2 | 2015 | 206 | |
| 3 | 2014 | 111 | |
| 4 | 2018 | 85 | |
| 5 | 2021 | 74 | |
| 6 | 2019 | 69 | |
| 7 | 2018 | 59 | |
| 8 | 2015 | 50 | |
| 9 | 2016 | 43 | |
| 10 | 2015 | 41 | |
| 11 | 2019 | 39 | |
| 12 | 2018 | 35 | |
| 13 | 2019 | 34 | |
| 14 | 2017 | 27 | |
| 15 | 2016 | 13 | |
| 16 | 2022 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2019 | 11 |
About Datao Wang
Datao Wang is a scholar working on Automotive Engineering, Genetics, Molecular Biology, Electrical and Electronic Engineering and Dermatology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), Advanced Battery Materials and Technologies (9 papers), Animal Genetics and Reproduction (6 papers), Advanced Battery Technologies Research (6 papers), Pluripotent Stem Cells Research (3 papers), Virus-based gene therapy research (3 papers), Renal and related cancers (3 papers) and Advanced battery technologies research (2 papers). The work is most often cited by research in Automotive Engineering (263 citations), Electrical and Electronic Engineering (823 citations), Electronic, Optical and Magnetic Materials (214 citations), Urology (51 citations) and Cancer Research (61 citations). Datao Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Jiaping Wang, Kaili Jiang, Shoushan Fan, Qunqing Li, Yufeng Luo, Weibang Kong, Lingjia Yan, Chunyi Li, Hengxing Ba and Li Sun. Their work appears in journals such as Carbon, Advanced Functional Materials, Nanoscale, PLoS ONE and Frontiers in Bioscience-Landmark.
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.