Jun‐Hua Wan

1.3k citations
41 papers · 1.2k · h-index 17

Impact in

Papers in

Jun‐Hua Wan

40 papers receiving 1.1k citations

Peers

Jun‐Hua Wan
Comparison fields: 5 of 57
  • Polymers and Plastics 590
  • Electrical and Electronic Engineering 792
  • Materials Chemistry 352
  • Organic Chemistry 215
  • Aquatic Science 29
Replace Ting Meng with:
Ting Meng China
Hualei Qian China
Jin‐An He United States
Maxim A. Shcherbina Russia
R. Güntner Germany
Leslie J. Lyons United States
Tatsuo Mori Japan
Volodimyr V. Duzhko United States
Daniel A. Poulsen United States
Hsieh‐Chih Chen Taiwan
Jun‐Hua Wan relative to Ting Meng China Ting Meng's profile →
Citations per field
00.5×8.6×
Ting Meng · 1×
Citations per year

Countries citing papers authored by Jun‐Hua Wan

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hua Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hua 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 Jun‐Hua Wan. The network helps show where Jun‐Hua Wan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015350
2 2015145
3 201773
4 201063
5 201443
6 199040
7 202336
8 200632
9 202031
10 201230
11 201129
12 202127
13 200524
14 201820
15 201319
16 202218
17 201917
18 201016
19 200715
20 201013

About Jun‐Hua Wan

Jun‐Hua Wan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Organic Chemistry, Polymers and Plastics and Biomedical Engineering, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (19 papers), Conducting polymers and applications (14 papers), Molecular Junctions and Nanostructures (13 papers), Luminescence and Fluorescent Materials (10 papers), Perovskite Materials and Applications (8 papers), Organic Light-Emitting Diodes Research (6 papers), Fullerene Chemistry and Applications (6 papers) and Surface Chemistry and Catalysis (6 papers). The work is most often cited by research in Polymers and Plastics (590 citations), Electrical and Electronic Engineering (792 citations), Materials Chemistry (352 citations), Organic Chemistry (215 citations) and Aquatic Science (29 citations). Jun‐Hua Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongzheng Chen, Minmin Shi, Xinhui Lu, Tsz‐Ki Lau, Wenqing Liu, Shuixing Li, Chang‐Zhi Li, Jiangquan Mai, Feng Liu and Weifei Fu. Their work appears in journals such as Chemistry - An Asian Journal, ACS Applied Materials & Interfaces, Applied Surface Science, New Journal of Chemistry and Advanced Functional 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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