Dan Han

32 papers receiving 765 citations

Peers

Dan Han
Comparison fields: 5 of 91
  • Bioengineering 328
  • Electrical and Electronic Engineering 540
  • Biomedical Engineering 320
  • Materials Chemistry 298
  • Geochemistry and Petrology 37
Replace Alejandra Calvo with:
Alejandra Calvo Argentina
Anoop Agrawal United States
Zhiwei Lin China
S. F. Patil India
Maxim Likhatski Russia
Lvdan Liu China
Ahmed A. Aboud Egypt
P.P. Pawar India
Salimeh Kimiagar Iran
Massoud Kahlaoui Tunisia
Dan Han relative to Alejandra Calvo Argentina Alejandra Calvo's profile →
Citations per field
00.5×10×15×18.5×
Alejandra Calvo · 1×
Citations per year

Countries citing papers authored by Dan Han

Since Specialization
Citations

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

Fields of papers citing papers by Dan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015170
2 2014122
3 2014120
4 201445
5 201444
6 202034
7 201432
8 201426
9 201224
10 201722
11 201222
12 202019
13 201817
14 201411
15 201410
16 20198
17
Effects of cationic surfactant on pentachlorophenol sorption by sediment, active carbon and biochar.
20137
18 20207
19 20216
20 20214

About Dan Han

Dan Han is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Geophysics, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 35 papers that have together received 774 indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (9 papers), ZnO doping and properties (6 papers), Geological and Geochemical Analysis (5 papers), earthquake and tectonic studies (4 papers), Electrocatalysts for Energy Conversion (4 papers), Advanced Chemical Sensor Technologies (4 papers), Advanced Photocatalysis Techniques (3 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Bioengineering (328 citations), Electrical and Electronic Engineering (540 citations), Biomedical Engineering (320 citations), Materials Chemistry (298 citations) and Geochemistry and Petrology (37 citations). Dan Han has collaborated with scholars based in China and United States. Frequent co-authors include Qi Wang, Peng Song, Huihui Zhang, Zhongxi Yang, Qi Xu, Su Zhang, Jia Li, Jia Li, Huihui Yan and Xudong Ma. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Nanoscience and Nanotechnology, Journal of Health Population and Nutrition, Materials Letters and Colloids and Surfaces A Physicochemical and Engineering Aspects.

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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