Dadong Yan

2.6k citations
96 papers · 2.3k · h-index 23

Impact in

Papers in

    • Block Copolymer Self-Assembly 26
    • Material Dynamics and Properties 22
    • Surfactants and Colloidal Systems 11
    • Fullerene Chemistry and Applications 8

Dadong Yan

92 papers receiving 2.2k citations

Peers

Dadong Yan
Comparison fields: 5 of 102
  • Catalysis 301
  • Surfaces, Coatings and Films 189
  • Materials Chemistry 1.1k
  • Polymers and Plastics 315
  • Physical and Theoretical Chemistry 186
Replace Arup K. Chakraborty with:
Arup K. Chakraborty United States
Björn Braunschweig Germany
Justin B. Hooper United States
Martin In France
Javier Rodríguez Spain
Julian Oberdisse France
Rajeev Kumar United States
U. Retter Germany
William M. Risen United States
Martin J. Hollamby United Kingdom
Dadong Yan relative to Arup K. Chakraborty United States Arup K. Chakraborty's profile →
Citations per field
00.5×3.2×
Arup K. Chakraborty · 1×
Citations per year

Countries citing papers authored by Dadong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dadong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004301
2 2013254
3 2007164
4 2004135
5 200589
6 200671
7 201869
8 201465
9 201859
10 200352
11 201546
12 201744
13 201543
14 200343
15 200937
16 199534
17 200631
18 200431
19 200628
20 200627

About Dadong Yan

Dadong Yan is a scholar working on Materials Chemistry, Organic Chemistry, Condensed Matter Physics, Polymers and Plastics and Electrical and Electronic Engineering, having authored 96 papers that have together received 2.3k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (26 papers), Material Dynamics and Properties (22 papers), Theoretical and Computational Physics (12 papers), Surfactants and Colloidal Systems (11 papers), Polymer Surface Interaction Studies (11 papers), Polymer crystallization and properties (11 papers), Fullerene Chemistry and Applications (8 papers) and Electrostatics and Colloid Interactions (7 papers). The work is most often cited by research in Catalysis (301 citations), Surfaces, Coatings and Films (189 citations), Materials Chemistry (1.1k citations), Polymers and Plastics (315 citations) and Physical and Theoretical Chemistry (186 citations). Dadong Yan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include An‐Chang Shi, Rui Zhang, Haixiang Gao, Junchun Li, Buxing Han, Jianling Zhang, Ye Tian, Xu Hou, Huacheng Zhang and Lei Jiang. Their work appears in journals such as The Journal of Chemical Physics, Macromolecules, Polymer, Soft Matter and Applied Physics Letters.

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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