Hao Wan

4.0k citations
129 papers · 3.2k · h-index 32

Impact in

Papers in

Hao Wan

123 papers receiving 3.1k citations

Peers

Hao Wan
Comparison fields: 5 of 150
  • Bioengineering 536
  • Electrochemistry 425
  • Biomedical Engineering 1.6k
  • Sensory Systems 163
  • Electrical and Electronic Engineering 1.5k
Replace Robert D. Crapnell with:
Robert D. Crapnell United Kingdom
Jingyuan Chen Japan
Yuqing Lin China
Erica Forzani United States
Chenchen Li China
Sze Shin Low China
Seung‐Cheol Chang South Korea
Barbara Brunetti Italy
Yiyi Liu China
Xiaorong Liu China
Hao Wan relative to Robert D. Crapnell United Kingdom Robert D. Crapnell's profile →
Citations per field
00.5×10×15×20×23.3×
Robert D. Crapnell · 1×
Citations per year

Countries citing papers authored by Hao Wan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hao Wan Line = papers co-authored together Hao Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019237
2 2017160
3 2014147
4 2014139
5 2019116
6 2020114
7 2018104
8 201894
9 201793
10 202184
11 201969
12 201767
13 202260
14 201960
15 202157
16 201852
17 202050
18 201948
19 201848
20 201947

About Hao Wan

Hao Wan is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering, Molecular Biology and Electrochemistry, having authored 129 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (41 papers), Analytical Chemistry and Sensors (34 papers), Advanced biosensing and bioanalysis techniques (23 papers), Electrochemical Analysis and Applications (18 papers), Gas Sensing Nanomaterials and Sensors (17 papers), Biosensors and Analytical Detection (14 papers), Electrochemical sensors and biosensors (13 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Bioengineering (536 citations), Electrochemistry (425 citations), Biomedical Engineering (1.6k citations), Sensory Systems (163 citations) and Electrical and Electronic Engineering (1.5k 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, Xinyi Wang, Yuxiang Pan and Liujing Zhuang. Their work appears in journals such as Sensors and Actuators B Chemical, Analytica Chimica Acta, Biosensors and Bioelectronics, Analytical Methods and Journal of The Electrochemical Society.

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.

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