Xingwang Wang
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Ocean Engineering top 2%
- Underwater Vehicles and Communication Systems
Papers in
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- Gut microbiota and health 4
-
- Energy Efficient Wireless Sensor Networks 6
- Co-authors
- Xiaohui Wei (16 shared papers)Zhenfang Wu (19 shared papers)Enqin Zheng (18 shared papers)Jie Yang (15 shared papers)Gengyuan Cai (15 shared papers)Bin Xu (3 shared papers)Jianping Quan (13 shared papers)Shenping Zhou (10 shared papers)
- Journals
- BMC Genomics (3 papers)Information Sciences (3 papers)Frontiers in Genetics (3 papers)Expert Systems with Applications (3 papers)Sensors (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xingwang Wang
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Animal Science and Zoology 153
- Ocean Engineering 225
- Cancer Research 134
- Genetics 230
- Computer Networks and Communications 159
Countries citing papers authored by Xingwang Wang
This map shows the geographic impact of Xingwang Wang'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 Xingwang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingwang Wang more than expected).
Fields of papers citing papers by Xingwang Wang
This network shows the impact of papers produced by Xingwang Wang. 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 Xingwang Wang. The network helps show where Xingwang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingwang Wang, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2021 | 119 | |
| 3 | 2018 | 76 | |
| 4 | 1998 | 74 | |
| 5 | 2020 | 64 | |
| 6 | 2021 | 59 | |
| 7 | 2019 | 57 | |
| 8 | 2020 | 51 | |
| 9 | 2016 | 47 | |
| 10 | 2019 | 42 | |
| 11 | 2021 | 36 | |
| 12 | 2022 | 34 | |
| 13 | 2017 | 31 | |
| 14 | 2006 | 31 | |
| 15 | 2019 | 30 | |
| 16 | 2018 | 28 | |
| 17 | 2019 | 23 | |
| 18 | 2019 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2021 | 19 |
About Xingwang Wang
Xingwang Wang is a scholar working on Molecular Biology, Computer Networks and Communications, Ocean Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 82 papers that have together received 1.4k indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (10 papers), Indoor and Outdoor Localization Technologies (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (5 papers), Animal Nutrition and Physiology (5 papers), Gut microbiota and health (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Animal Science and Zoology (153 citations), Ocean Engineering (225 citations), Cancer Research (134 citations), Genetics (230 citations) and Computer Networks and Communications (159 citations). Xingwang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaohui Wei, Zhenfang Wu, Enqin Zheng, Jie Yang, Gengyuan Cai, Bin Xu, Jianping Quan, Shenping Zhou, Dewu Liu and Meikang Qiu. Their work appears in journals such as BMC Genomics, Information Sciences, Frontiers in Genetics, Expert Systems with Applications and Sensors.
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.