Kun Xing
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Insect Science top 5%
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
Papers in
- Ecology 13
- Physiological and biochemical adaptations 9
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- Insect and Pesticide Research 7
- Insect-Plant Interactions and Control 7
- Co-authors
- Chun‐Sen Ma (7 shared papers)Fei Zhao (14 shared papers)Ary A. Hoffmann (4 shared papers)Hongsheng Yang (6 shared papers)S LI (1 shared paper)Jianguo He (1 shared paper)Zuohui Zhao (1 shared paper)Shih‐Hsuan Chan (1 shared paper)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (3 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Journal of Thermal Biology (2 papers)Fish & Shellfish Immunology (2 papers)Pest Management Science (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Kun Xing
46 papers receiving 829 citations
Peers
Comparison fields: 5 of 89
- Aquatic Science 163
- Insect Science 234
- Immunology 259
- Ecological Modeling 43
- Ecology 210
Countries citing papers authored by Kun Xing
This map shows the geographic impact of Kun Xing'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 Kun Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Xing more than expected).
Fields of papers citing papers by Kun Xing
This network shows the impact of papers produced by Kun Xing. 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 Kun Xing. The network helps show where Kun Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Xing, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 182 | |
| 2 | 2021 | 119 | |
| 3 | 2007 | 101 | |
| 4 | 2017 | 54 | |
| 5 | 2008 | 41 | |
| 6 | 2014 | 33 | |
| 7 | 2019 | 32 | |
| 8 | 2021 | 23 | |
| 9 | 2015 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2011 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2012 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2010 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2009 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2021 | 10 |
About Kun Xing
Kun Xing is a scholar working on Ecology, Insect Science, Aerospace Engineering, Global and Planetary Change and Aquatic Science, having authored 55 papers that have together received 847 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (9 papers), Radar Systems and Signal Processing (8 papers), Advanced SAR Imaging Techniques (8 papers), Insect and Pesticide Research (7 papers), Insect and Arachnid Ecology and Behavior (7 papers), Insect-Plant Interactions and Control (7 papers), Aquaculture disease management and microbiota (6 papers) and Marine Bivalve and Aquaculture Studies (6 papers). The work is most often cited by research in Aquatic Science (163 citations), Insect Science (234 citations), Immunology (259 citations), Ecological Modeling (43 citations) and Ecology (210 citations). Kun Xing has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chun‐Sen Ma, Fei Zhao, Ary A. Hoffmann, Hongsheng Yang, S LI, Jianguo He, Zuohui Zhao, Shih‐Hsuan Chan, S P Weng and Maryse Delaporte. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Geoscience and Remote Sensing Letters, Journal of Thermal Biology, Fish & Shellfish Immunology and Pest Management Science.
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.