Ming Ju
Impact in
- Plant Science top 10%
- Sesame and Sesamin Research
- Plant Genetic and Mutation Studies
- Media Technology top 10%
- Remote-Sensing Image Classification
Papers in
-
- Sesame and Sesamin Research 16
- Plant Genetic and Mutation Studies 11
- Plant Disease Resistance and Genetics 4
-
- Protein Hydrolysis and Bioactive Peptides 5
- Co-authors
- Hongmei Miao (20 shared papers)Xiaoming He (5 shared papers)Yanping Lin (1 shared paper)Jian Li (1 shared paper)Yinghui Duan (12 shared papers)Chun Li (9 shared papers)Haiyang Zhang (7 shared papers)Jiantao Qu (1 shared paper)
- Journals
- LWT (3 papers)Food Bioscience (3 papers)Crop Science (2 papers)Remote Sensing (2 papers)Computers & Mathematics with Applications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Ju
57 papers receiving 626 citations
Peers
Comparison fields: 5 of 107
- Plant Science 251
- Media Technology 58
- Computational Mechanics 130
- Animal Science and Zoology 49
- Numerical Analysis 25
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 96 | |
| 2 | 2021 | 81 | |
| 3 | 2017 | 50 | |
| 4 | 2018 | 35 | |
| 5 | 2023 | 35 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 24 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2009 | 13 | |
| 15 | The Impact of Institutional and Peer Support on Faculty Research Productivity: A Comparative Analysis of Research vs. Non-Research Institutions. | 2010 | 12 |
| 16 | Optimization of EMS mutagenesis condition and screening of mutants in sesame. | 2017 | 10 |
| 17 | 2024 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2021 | 9 |
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 65 papers that have together received 643 indexed citations. Recurring topics across this work include Sesame and Sesamin Research (16 papers), Probabilistic and Robust Engineering Design (11 papers), Plant Genetic and Mutation Studies (11 papers), Advanced Mathematical Modeling in Engineering (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Model Reduction and Neural Networks (4 papers) and Plant Disease Resistance and Genetics (4 papers). The work is most often cited by research in Plant Science (251 citations), Media Technology (58 citations), Computational Mechanics (130 citations), Animal Science and Zoology (49 citations) and Numerical Analysis (25 citations). Ming Ju has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongmei Miao, Xiaoming He, Yanping Lin, Jian Li, Yinghui Duan, Chun Li, Haiyang Zhang, Jiantao Qu, Wei Huang and Guanyi Li. Their work appears in journals such as LWT, Food Bioscience, Crop Science, Remote Sensing and Computers & Mathematics with Applications.
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.