Kai Xing
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
Papers in
-
- Gut microbiota and health 6
- Genetics 21
- Genetic and phenotypic traits in livestock 15
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Dechang Chen (10 shared papers)Xiaochun Cheng (1 shared paper)Min Ding (1 shared paper)Zheng Yang (1 shared paper)Yunhao Liu (1 shared paper)Xinglin Zhang (1 shared paper)Shaohua Tang (1 shared paper)Xufei Mao (1 shared paper)
- Journals
- Poultry Science (10 papers)Theriogenology (4 papers)Scientific Reports (4 papers)Genes (4 papers)Journal of Animal Science and Biotechnology (3 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Kai Xing
94 papers receiving 2.2k citations
Kai Xing's Hit Papers
Peers
Comparison fields: 5 of 156
- Computer Science Applications 333
- Animal Science and Zoology 285
- Transportation 177
- Computer Networks and Communications 462
- Biochemistry 86
Countries citing papers authored by Kai Xing
This map shows the geographic impact of Kai 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 Kai Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Xing more than expected).
Fields of papers citing papers by Kai Xing
This network shows the impact of papers produced by Kai 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 Kai Xing. The network helps show where Kai Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Incentives for Mobile Crowd Sensing: A Survey Hit paper breakdown → | 2015 | 446 |
| 2 | 2005 | 327 | |
| 3 | 2017 | 75 | |
| 4 | 2014 | 71 | |
| 5 | 2009 | 62 | |
| 6 | 2018 | 61 | |
| 7 | 2016 | 52 | |
| 8 | 2020 | 51 | |
| 9 | 2018 | 50 | |
| 10 | 2019 | 46 | |
| 11 | 2012 | 46 | |
| 12 | 2014 | 43 | |
| 13 | 2022 | 39 | |
| 14 | 2018 | 37 | |
| 15 | 2019 | 35 | |
| 16 | 2017 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2013 | 32 | |
| 19 | 2021 | 29 | |
| 20 | 2018 | 26 |
About Kai Xing
Kai Xing is a scholar working on Molecular Biology, Genetics, Cancer Research, Animal Science and Zoology and Reproductive Medicine, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), Genetic and phenotypic traits in livestock (15 papers), MicroRNA in disease regulation (10 papers), Sperm and Testicular Function (10 papers), Animal Nutrition and Physiology (7 papers), Gut microbiota and health (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Antioxidant Activity and Oxidative Stress (5 papers). The work is most often cited by research in Computer Science Applications (333 citations), Animal Science and Zoology (285 citations), Transportation (177 citations), Computer Networks and Communications (462 citations) and Biochemistry (86 citations). Kai Xing has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Dechang Chen, Xiaochun Cheng, Min Ding, Zheng Yang, Yunhao Liu, Xinglin Zhang, Shaohua Tang, Xufei Mao, Wei Sun and Chuduan Wang. Their work appears in journals such as Poultry Science, Theriogenology, Scientific Reports, Genes and Journal of Animal Science and Biotechnology.
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.