Chenchen Wang
Impact in
- Horticulture top 10%
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
Papers in ⓘ
- Co-authors
- Xun Jiang (1 shared paper)Ghanshyam Pilania (1 shared paper)Sanguthevar Rajasekaran (1 shared paper)Rampi Ramprasad (1 shared paper)Zhongting Hu (1 shared paper)Xiaoqiang Hong (1 shared paper)Wei He (1 shared paper)Jie Ji (1 shared paper)
- Journals
- Frontiers in Plant Science (3 papers)International Journal of Molecular Sciences (3 papers)Analytical Chemistry (3 papers)Nature Communications (2 papers)Planta (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chenchen Wang
98 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Horticulture 14
- Materials Chemistry 548
- Computational Theory and Mathematics 164
- Molecular Biology 678
- Plant Science 343
Countries citing papers authored by Chenchen Wang
This map shows the geographic impact of Chenchen 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 Chenchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Wang more than expected).
Fields of papers citing papers by Chenchen Wang
This network shows the impact of papers produced by Chenchen 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 Chenchen Wang. The network helps show where Chenchen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accelerating materials property predictions using machine learning Hit paper breakdown → | 2013 | 611 |
| 2 | 2014 | 100 | |
| 3 | 2020 | 80 | |
| 4 | 2014 | 65 | |
| 5 | 2021 | 57 | |
| 6 | 2020 | 51 | |
| 7 | 2018 | 50 | |
| 8 | 2017 | 48 | |
| 9 | 2018 | 45 | |
| 10 | 2022 | 44 | |
| 11 | 2021 | 43 | |
| 12 | 2024 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2018 | 39 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 37 | |
| 17 | 2022 | 35 | |
| 18 | 2021 | 35 | |
| 19 | 2017 | 33 | |
| 20 | 2020 | 32 |
About Chenchen Wang
Chenchen Wang is a scholar working on Horticulture, Endocrinology, Biotechnology, Molecular Medicine and Molecular Biology, having authored 113 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (8 papers), Plant Molecular Biology Research (6 papers), Plant-Microbe Interactions and Immunity (6 papers), Genomics and Phylogenetic Studies (5 papers), Plant Gene Expression Analysis (5 papers), RNA and protein synthesis mechanisms (5 papers), Plant Stress Responses and Tolerance (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Horticulture (14 citations), Materials Chemistry (548 citations), Computational Theory and Mathematics (164 citations), Molecular Biology (678 citations) and Plant Science (343 citations). Chenchen Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xun Jiang, Ghanshyam Pilania, Sanguthevar Rajasekaran, Rampi Ramprasad, Zhongting Hu, Xiaoqiang Hong, Wei He, Jie Ji, Gaolin Liang and Zongqing Wang. Their work appears in journals such as Frontiers in Plant Science, International Journal of Molecular Sciences, Analytical Chemistry, Nature Communications and Planta.
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.