Ming Ju
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
- Computational Mechanics top 10%
- Advanced Numerical Methods in Computational Mathematics
Papers in
-
- Sesame and Sesamin Research 11
- Plant Genetic and Mutation Studies 7
-
- Protein Hydrolysis and Bioactive Peptides 5
- Co-authors
- Xiaoming He (5 shared papers)Jian Li (1 shared paper)Yanping Lin (1 shared paper)Hongmei Miao (15 shared papers)Jiantao Qu (1 shared paper)Yinghui Duan (12 shared papers)Guanyi Li (1 shared paper)Wei Huang (1 shared paper)
- Journals
- LWT (3 papers)Food Bioscience (3 papers)Journal of Scientific Computing (2 papers)SIAM Journal on Scientific Computing (2 papers)International Journal for Uncertainty Quantification (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Ju
47 papers receiving 520 citations
Peers
Comparison fields: 5 of 94
- Media Technology 56
- Computational Mechanics 127
- Plant Science 194
- Numerical Analysis 24
- Animal Science and Zoology 45
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2021 | 77 | |
| 3 | 2017 | 48 | |
| 4 | 2023 | 32 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2013 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2009 | 10 | |
| 15 | 2021 | 9 | |
| 16 | Optimization of EMS mutagenesis condition and screening of mutants in sesame. | 2017 | 8 |
| 17 | 2024 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2024 | 7 |
About Ming Ju
Ming Ju is a scholar working on Plant Science, Molecular Biology, Statistics, Probability and Uncertainty, Computational Mechanics and Statistical and Nonlinear Physics, having authored 56 papers that have together received 531 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (11 papers), Sesame and Sesamin Research (11 papers), Plant Genetic and Mutation Studies (7 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Advanced Mathematical Modeling in Engineering (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Meat and Animal Product Quality (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Media Technology (56 citations), Computational Mechanics (127 citations), Plant Science (194 citations), Numerical Analysis (24 citations) and Animal Science and Zoology (45 citations). Ming Ju has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoming He, Jian Li, Yanping Lin, Hongmei Miao, Jiantao Qu, Yinghui Duan, Guanyi Li, Wei Huang, Qiqiang Chen and Chun Li. Their work appears in journals such as LWT, Food Bioscience, Journal of Scientific Computing, SIAM Journal on Scientific Computing and International Journal for Uncertainty Quantification.
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.