Wu Liu
Impact in
- Biochemistry top 1%
- Sulfur Compounds in Biology
- Spectroscopy top 0.5%
- Molecular Sensors and Ion Detection
Papers in
-
- Advanced biosensing and bioanalysis techniques 13
-
- Innovative Microfluidic and Catalytic Techniques Innovation 11
- 3D Printing in Biomedical Research 9
- Co-authors
- Jin‐Ming Lin (18 shared papers)Baocun Zhu (14 shared papers)Caiyun Liu (14 shared papers)Zuokai Wang (11 shared papers)Qingxia Duan (11 shared papers)Pan Jia (9 shared papers)Qiushui Chen (9 shared papers)Aihong Peng (3 shared papers)
- Journals
- Sensors and Actuators B Chemical (8 papers)Scientific Reports (5 papers)Biosensors and Bioelectronics (4 papers)RSC Advances (3 papers)Lab on a Chip (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wu Liu
183 papers receiving 4.0k citations
Wu Liu's Hit Papers
Peers
Comparison fields: 5 of 177
- Biochemistry 457
- Spectroscopy 981
- Horticulture 45
- Bioengineering 169
- Biomedical Engineering 1.1k
Countries citing papers authored by Wu Liu
This map shows the geographic impact of Wu Liu'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 Wu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Liu more than expected).
Fields of papers citing papers by Wu Liu
This network shows the impact of papers produced by Wu Liu. 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 Wu Liu. The network helps show where Wu Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Liu, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineering canker‐resistant plants through Hit paper breakdown → | 2017 | 451 |
| 2 | 2019 | 241 | |
| 3 | 2018 | 157 | |
| 4 | 2017 | 100 | |
| 5 | 2017 | 97 | |
| 6 | 2015 | 97 | |
| 7 | 2011 | 83 | |
| 8 | 2010 | 83 | |
| 9 | 2010 | 80 | |
| 10 | 2018 | 80 | |
| 11 | 2016 | 79 | |
| 12 | 2017 | 74 | |
| 13 | 2018 | 69 | |
| 14 | 2014 | 67 | |
| 15 | 2016 | 66 | |
| 16 | 2015 | 63 | |
| 17 | 2018 | 63 | |
| 18 | 2017 | 62 | |
| 19 | 2012 | 54 | |
| 20 | 2014 | 54 |
About Wu Liu
Wu Liu is a scholar working on Molecular Biology, Biomedical Engineering, Computer Networks and Communications, Spectroscopy and Electrical and Electronic Engineering, having authored 193 papers that have together received 4.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (21 papers), Molecular Sensors and Ion Detection (18 papers), Advanced biosensing and bioanalysis techniques (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (11 papers), Nitric Oxide and Endothelin Effects (10 papers), Internet Traffic Analysis and Secure E-voting (10 papers), 3D Printing in Biomedical Research (9 papers) and Advanced Malware Detection Techniques (8 papers). The work is most often cited by research in Biochemistry (457 citations), Spectroscopy (981 citations), Horticulture (45 citations), Bioengineering (169 citations) and Biomedical Engineering (1.1k citations). Wu Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jin‐Ming Lin, Baocun Zhu, Caiyun Liu, Zuokai Wang, Qingxia Duan, Pan Jia, Qiushui Chen, Aihong Peng, Yongrui He and Lanzhen Xu. Their work appears in journals such as Sensors and Actuators B Chemical, Scientific Reports, Biosensors and Bioelectronics, RSC Advances and Lab on a Chip.
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.