Kai Ji
Impact in
- Plant Science top 2%
- Postharvest Quality and Shelf Life Management
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
- Plant Physiology and Cultivation Studies
- Horticultural and Viticultural Research
- Biochemistry top 5%
Papers in
-
- Postharvest Quality and Shelf Life Management 14
- Plant Stress Responses and Tolerance 9
- Plant Molecular Biology Research 6
- Co-authors
- Ping Leng (18 shared papers)Yufei Sun (13 shared papers)Shengjie Dai (13 shared papers)Yanping Wang (12 shared papers)Pei Chung Chen (10 shared papers)Liang Sun (9 shared papers)Chaorui Duan (9 shared papers)Yanyou Wu (7 shared papers)
- Journals
- Journal of Plant Physiology (3 papers)Journal of Plant Growth Regulation (2 papers)Journal of Experimental Botany (2 papers)Plant Physiology and Biochemistry (2 papers)The Plant Journal (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kai Ji
71 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 129
- Plant Science 1.1k
- Biochemistry 93
- Molecular Biology 810
- Horticulture 10
- Infectious Diseases 101
Countries citing papers authored by Kai Ji
This map shows the geographic impact of Kai Ji'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 Kai Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ji more than expected).
Fields of papers citing papers by Kai Ji
This network shows the impact of papers produced by Kai Ji. 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 Kai Ji. The network helps show where Kai Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Ji, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 239 | |
| 2 | 2011 | 157 | |
| 3 | 2014 | 122 | |
| 4 | 2017 | 88 | |
| 5 | 2013 | 85 | |
| 6 | 2013 | 74 | |
| 7 | 2009 | 68 | |
| 8 | 2021 | 65 | |
| 9 | 2013 | 64 | |
| 10 | 2012 | 60 | |
| 11 | 2011 | 56 | |
| 12 | 2012 | 56 | |
| 13 | 2010 | 56 | |
| 14 | 2021 | 53 | |
| 15 | 2022 | 52 | |
| 16 | 2022 | 48 | |
| 17 | 2012 | 47 | |
| 18 | 2011 | 47 | |
| 19 | 2023 | 42 | |
| 20 | 2014 | 42 |
About Kai Ji
Kai Ji is a scholar working on Control and Systems Engineering, Plant Science, Media Technology, Molecular Biology and Electrical and Electronic Engineering, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (14 papers), Plant Gene Expression Analysis (9 papers), Plant Stress Responses and Tolerance (9 papers), Plant Molecular Biology Research (6 papers), Electric Motor Design and Analysis (6 papers), Multilevel Inverters and Converters (5 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Plant Science (1.1k citations), Biochemistry (93 citations), Molecular Biology (810 citations), Horticulture (10 citations) and Infectious Diseases (101 citations). Kai Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ping Leng, Yufei Sun, Shengjie Dai, Yanping Wang, Pei Chung Chen, Liang Sun, Chaorui Duan, Yanyou Wu, Ping Li and Hao Luo. Their work appears in journals such as Journal of Plant Physiology, Journal of Plant Growth Regulation, Journal of Experimental Botany, Plant Physiology and Biochemistry and The Plant Journal.
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.