Run-Han Wang

521 citations
19 papers · 455 · h-index 11

Impact in

Papers in

Run-Han Wang

19 papers receiving 404 citations

Peers

Run-Han Wang
Comparison fields: 5 of 63
  • Inorganic Chemistry 102
  • Mechanics of Materials 160
  • Cell Biology 61
  • Electrochemistry 23
  • Electronic, Optical and Magnetic Materials 62
Replace John A. T. Norman with:
John A. T. Norman United States
Thomas Meinhardt Germany
Paul Coffey United Kingdom
J. Żuk Poland
Daria Khvostichenko United States
Hans-Jürgen Kümmerer Germany
François Michaud France
Markus Kaukonen Sweden
Tongtong Zhang China
Pavel K. Olshin Russia
Run-Han Wang relative to John A. T. Norman United States John A. T. Norman's profile →
Citations per field
00.5×11.5×
John A. T. Norman · 1×
Citations per year

Countries citing papers authored by Run-Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Run-Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 197299
2 197686
3 199660
4 197333
5 200128
6 200926
7 200023
8 199522
9 197412
10 199612
11 198211
12 197310
13 19979
14 19767
15 19997
16 20124
17 20024
18 20091
19 20121

About Run-Han Wang

Run-Han Wang is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics, Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 19 papers that have together received 455 indexed citations. Recurring topics across this work include Adhesion, Friction, and Surface Interactions (10 papers), Tribology and Lubrication Engineering (5 papers), Metal and Thin Film Mechanics (3 papers), Magnetic properties of thin films (3 papers), Surface Roughness and Optical Measurements (2 papers), Iterative Learning Control Systems (2 papers), Tribology and Wear Analysis (2 papers) and Magnetic Field Sensors Techniques (1 paper). The work is most often cited by research in Inorganic Chemistry (102 citations), Mechanics of Materials (160 citations), Cell Biology (61 citations), Electrochemistry (23 citations) and Electronic, Optical and Magnetic Materials (62 citations). Run-Han Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Harry B. Gray, M. Cerdonio, R. L. White, H. E. Hoenig, James Dawson, Edward I. Solomon, Steven W. Meeks, Harry B. Gray, Gian Luca Romani and David M. Dooley. Their work appears in journals such as IEEE Transactions on Magnetics, Journal of the American Chemical Society, Materials Research Bulletin, Biochemical and Biophysical Research Communications and Journal of Tribology.

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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