Hao Wan
Impact in
- Bioengineering top 0.5%
- Analytical Chemistry and Sensors
- Electrochemistry top 1%
- Electrochemical Analysis and Applications
Papers in
-
- Advanced Chemical Sensor Technologies 43
- Biosensors and Analytical Detection 14
-
- Gas Sensing Nanomaterials and Sensors 18
- Electrochemical sensors and biosensors 14
- Co-authors
- Ping Wang (62 shared papers)Ping Wang (25 shared papers)Tao Liang (27 shared papers)Ning Hu (16 shared papers)Xinwei Wei (21 shared papers)Ying Gan (15 shared papers)Qiyong Sun (8 shared papers)Yuxiang Pan (17 shared papers)
- Journals
- Sensors and Actuators B Chemical (16 papers)Analytical Methods (7 papers)Biosensors and Bioelectronics (7 papers)Analytica Chimica Acta (7 papers)Microsystems & Nanoengineering (6 papers)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Hao Wan
127 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 150
- Bioengineering 578
- Electrochemistry 448
- Biomedical Engineering 1.7k
- Sensory Systems 169
- Electrical and Electronic Engineering 1.6k
Countries citing papers authored by Hao Wan
This map shows the geographic impact of Hao Wan'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 Hao Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Wan more than expected).
Fields of papers citing papers by Hao Wan
This network shows the impact of papers produced by Hao Wan. 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 Hao Wan. The network helps show where Hao Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Wan, 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 265 | |
| 2 | 2014 | 160 | |
| 3 | 2017 | 160 | |
| 4 | 2014 | 151 | |
| 5 | 2020 | 129 | |
| 6 | 2019 | 128 | |
| 7 | 2018 | 109 | |
| 8 | 2017 | 105 | |
| 9 | 2018 | 101 | |
| 10 | 2021 | 96 | |
| 11 | 2019 | 72 | |
| 12 | 2017 | 68 | |
| 13 | 2021 | 67 | |
| 14 | 2019 | 66 | |
| 15 | 2022 | 65 | |
| 16 | 2018 | 57 | |
| 17 | 2020 | 53 | |
| 18 | 2019 | 52 | |
| 19 | 2018 | 48 | |
| 20 | 2022 | 48 |
About Hao Wan
Hao Wan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering, Molecular Biology and Electrochemistry, having authored 132 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (43 papers), Analytical Chemistry and Sensors (35 papers), Advanced biosensing and bioanalysis techniques (23 papers), Electrochemical Analysis and Applications (19 papers), Gas Sensing Nanomaterials and Sensors (18 papers), Biosensors and Analytical Detection (14 papers), Neuroscience and Neural Engineering (14 papers) and Electrochemical sensors and biosensors (14 papers). The work is most often cited by research in Bioengineering (578 citations), Electrochemistry (448 citations), Biomedical Engineering (1.7k citations), Sensory Systems (169 citations) and Electrical and Electronic Engineering (1.6k citations). Hao Wan has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Ping Wang, Ping Wang, Tao Liang, Ning Hu, Xinwei Wei, Ying Gan, Qiyong Sun, Yuxiang Pan, Xinyi Wang and Liujing Zhuang. Their work appears in journals such as Sensors and Actuators B Chemical, Analytical Methods, Biosensors and Bioelectronics, Analytica Chimica Acta and Microsystems & Nanoengineering.
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.