Xiaobing Wu
Impact in
-
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Developmental Biology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 24
- Identification and Quantification in Food 12
-
- Energy Harvesting in Wireless Networks 18
- Co-authors
- Guihai Chen (27 shared papers)Haipeng Dai (13 shared papers)Peng Yan (26 shared papers)Lijie Xu (7 shared papers)Sajal K. Das (1 shared paper)Shan Lin (4 shared papers)Zhigang Jiang (4 shared papers)Tian He (4 shared papers)
- Journals
- Gene (5 papers)Molecular Biology Reports (5 papers)Computer Communications (5 papers)Chinese Physics C (4 papers)Animal Reproduction Science (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xiaobing Wu
151 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 145
- Computer Networks and Communications 658
- Developmental Biology 40
- Electrical and Electronic Engineering 907
- Genetics 352
- Paleontology 93
Countries citing papers authored by Xiaobing Wu
This map shows the geographic impact of Xiaobing Wu'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 Xiaobing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Wu more than expected).
Fields of papers citing papers by Xiaobing Wu
This network shows the impact of papers produced by Xiaobing Wu. 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 Xiaobing Wu. The network helps show where Xiaobing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Wu, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 133 | |
| 2 | 2014 | 102 | |
| 3 | 2014 | 95 | |
| 4 | 2015 | 81 | |
| 5 | 2013 | 74 | |
| 6 | 2014 | 71 | |
| 7 | 2003 | 60 | |
| 8 | 2008 | 53 | |
| 9 | 2011 | 49 | |
| 10 | 2013 | 48 | |
| 11 | 2006 | 46 | |
| 12 | 2007 | 46 | |
| 13 | 2014 | 44 | |
| 14 | 2014 | 40 | |
| 15 | 2019 | 40 | |
| 16 | 2007 | 40 | |
| 17 | 2008 | 39 | |
| 18 | 2018 | 39 | |
| 19 | 2004 | 39 | |
| 20 | 2013 | 38 |
About Xiaobing Wu
Xiaobing Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Computer Networks and Communications, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 167 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Energy Harvesting in Wireless Networks (18 papers), Energy Efficient Wireless Sensor Networks (16 papers), Genetic diversity and population structure (14 papers), Identification and Quantification in Food (12 papers), Amphibian and Reptile Biology (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Mobile Ad Hoc Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (658 citations), Developmental Biology (40 citations), Electrical and Electronic Engineering (907 citations), Genetics (352 citations) and Paleontology (93 citations). Xiaobing Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Guihai Chen, Haipeng Dai, Peng Yan, Lijie Xu, Sajal K. Das, Shan Lin, Zhigang Jiang, Tian He, Yunhuai Liu and Lei Wei. Their work appears in journals such as Gene, Molecular Biology Reports, Computer Communications, Chinese Physics C and Animal Reproduction 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.