Deye Liu

1.2k citations
29 papers · 1.0k · h-index 14

Impact in

Papers in

Deye Liu

29 papers receiving 995 citations

Peers

Deye Liu
Comparison fields: 5 of 69
  • Bioengineering 365
  • Polymers and Plastics 185
  • Electrical and Electronic Engineering 689
  • Biomedical Engineering 464
  • Electrochemistry 44
Replace Sira Srinives with:
Sira Srinives Thailand
Mojtaba Mahyari Iran
Yanli Tian China
Shi Rong Hu China
Jerzy Zarębski Poland
Neli Mintcheva Bulgaria
Sayan Dey India
Guoqing Feng China
Leonardo Lataro Paim Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Deye Liu

Since Specialization
Citations

This map shows the geographic impact of Deye 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 Deye Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deye Liu more than expected).

Fields of papers citing papers by Deye Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deye 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 Deye Liu. The network helps show where Deye Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Deye Liu, 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 Deye Liu Line = papers co-authored together Deye Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2018176
3 2018143
4 2017115
5 201757
6 201842
7 201841
8 201639
9
[Study of distribution and influencing factors of arsenic in whole blood and urine among population in 8 provinces in China].
201435
10 201833
11 201817
12 201515
13
[Distribution of manganese, cobalt and molybdenum in blood and urine among general population in 8 provinces of China].
201413
14 202013
15 201912
16 201911
17 20229
18 20158
19 20197
20 20237

About Deye Liu

Deye Liu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Health, Toxicology and Mutagenesis, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (7 papers), Advanced Chemical Sensor Technologies (5 papers), ZnO doping and properties (4 papers), TiO2 Photocatalysis and Solar Cells (4 papers), Analytical Chemistry and Sensors (4 papers), Advanced Photocatalysis Techniques (3 papers), Transition Metal Oxide Nanomaterials (3 papers) and Analytical chemistry methods development (3 papers). The work is most often cited by research in Bioengineering (365 citations), Polymers and Plastics (185 citations), Electrical and Electronic Engineering (689 citations), Biomedical Engineering (464 citations) and Electrochemistry (44 citations). Deye Liu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Fengmin Liu, Geyu Lu, Yuan Gao, Xu Yan, Yueying Liu, Hong Liu, Xiaofei Zhu, Jian Chen, Linsheng Zhou and Peng Sun. Their work appears in journals such as Sensors and Actuators B Chemical, Microchemical Journal, Electrochimica Acta, Journal of Colloid and Interface Science and ACS 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.

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