Ming Ju
Impact in
- Plant Science top 10%
- Sesame and Sesamin Research
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Plant Genetic and Mutation Studies
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
Papers in
-
- Sesame and Sesamin Research 15
- Plant Genetic and Mutation Studies 4
-
- Probabilistic and Robust Engineering Design 8
- Co-authors
- Xiaoming He (5 shared papers)Hongmei Miao (21 shared papers)Jian Li (1 shared paper)Yanping Lin (1 shared paper)Yinghui Duan (12 shared papers)Haiyang Zhang (7 shared papers)Chun Li (9 shared papers)Libin Wei (6 shared papers)
- Journals
- International Journal for Uncertainty Quantification (2 papers)Crop Science (2 papers)Plants (2 papers)Computers & Mathematics with Applications (2 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Ming Ju
40 papers receiving 451 citations
Peers
Comparison fields: 5 of 42
- Plant Science 249
- Computational Mechanics 136
- Numerical Analysis 18
- Genetics 73
- Statistics, Probability and Uncertainty 16
Countries citing papers authored by Ming Ju
This map shows the geographic impact of Ming Ju'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 Ming Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ju more than expected).
Fields of papers citing papers by Ming Ju
This network shows the impact of papers produced by Ming Ju. 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 Ming Ju. The network helps show where Ming Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Ju, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 106 | |
| 2 | 2017 | 50 | |
| 3 | 2019 | 36 | |
| 4 | 2018 | 34 | |
| 5 | 2023 | 28 | |
| 6 | 2019 | 25 | |
| 7 | 2020 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2013 | 17 | |
| 10 | 2009 | 13 | |
| 11 | 2022 | 11 | |
| 12 | Optimization of EMS mutagenesis condition and screening of mutants in sesame. | 2017 | 10 |
| 13 | 2011 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2017 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 6 |
About Ming Ju
Ming Ju is a scholar working on Plant Science, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Computational Mechanics and Computational Theory and Mathematics, having authored 48 papers that have together received 467 indexed citations. Recurring topics across this work include Sesame and Sesamin Research (15 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Model Reduction and Neural Networks (8 papers), Probabilistic and Robust Engineering Design (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Genetic and Mutation Studies (4 papers), Plant tissue culture and regeneration (2 papers) and Navier-Stokes equation solutions (2 papers). The work is most often cited by research in Plant Science (249 citations), Computational Mechanics (136 citations), Numerical Analysis (18 citations), Genetics (73 citations) and Statistics, Probability and Uncertainty (16 citations). Ming Ju has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoming He, Hongmei Miao, Jian Li, Yanping Lin, Yinghui Duan, Haiyang Zhang, Chun Li, Libin Wei, Max Gunzburger and Qinglin Tang. Their work appears in journals such as International Journal for Uncertainty Quantification, Crop Science, Plants, Computers & Mathematics with Applications and SIAM Journal on Scientific Computing.
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.