Da Yang

805 citations
22 papers · 642 · h-index 9

Impact in

Papers in

Da Yang

22 papers receiving 624 citations

Peers

Da Yang
Comparison fields: 5 of 69
  • Surfaces, Coatings and Films 74
  • Biomedical Engineering 341
  • Electrical and Electronic Engineering 305
  • Organic Chemistry 138
  • Pharmaceutical Science 27
Replace Leonardo D. Bonifacio with:
Leonardo D. Bonifacio Canada
Michael Noyong Germany
Nikunjkumar Visaveliya Germany
Klaus Dirnberger Germany
M. Lorena Cortez Argentina
Franck Montagne Switzerland
Antje M. J. van den Berg Netherlands
Glauco Battagliarin Germany
Zilong Guo China
Vikrant V. Naik Switzerland
Da Yang relative to Leonardo D. Bonifacio Canada Leonardo D. Bonifacio's profile →
Citations per field
00.5×2.7×
Leonardo D. Bonifacio · 1×
Citations per year

Countries citing papers authored by Da Yang

Since Specialization
Citations

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

Fields of papers citing papers by Da Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006202
2 200689
3 200670
4 200467
5 200667
6 200543
7 200243
8 200518
9 202016
10 20216
11 20044
12 20203
13 20233
14 20183
15 20241
16
QSBR Study on the Anaerobic Biodegradation of Chlorophenols
20061
17 20181
18 20221
19 20191
20 20121

About Da Yang

Da Yang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Molecular Biology, Water Science and Technology and Materials Chemistry, having authored 22 papers that have together received 642 indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (5 papers), Advancements in Photolithography Techniques (5 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Microbial Fuel Cells and Bioremediation (3 papers), Membrane Separation Technologies (3 papers), Electrochemical sensors and biosensors (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (74 citations), Biomedical Engineering (341 citations), Electrical and Electronic Engineering (305 citations), Organic Chemistry (138 citations) and Pharmaceutical Science (27 citations). Da Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Christopher K. Ober, Jun Yan Dai, Daniel Bratton, Seung Wook Chang, Seth R. Marder, Nelson Felix, Bruce A. Armitage, David F. O’Brien, Heidi B. Cao and Hai Deng. Their work appears in journals such as BioResources, Journal of Materials Chemistry, Scientific Reports, Journal of the American Chemical Society and Chemistry of Materials.

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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