Shan X. Wang

193 papers receiving 12.1k citations

Hit Papers

Electric-field control of local ferromagnetism using a magnetoelectric multiferroic 2008 · 1.1k citations
1.1k200320262010201810002.0k3.0k

Peers

Shan X. Wang
Comparison fields: 5 of 167
  • Biomaterials 2.3k
  • Electronic, Optical and Magnetic Materials 2.9k
  • Biomedical Engineering 4.9k
  • Materials Chemistry 4.8k
  • Renewable Energy, Sustainability and the Environment 1.5k
Replace Philip M. Rice with:
Philip M. Rice United States
Petr Král United States
Jian Hou China
Donglu Shi United States
Yang Xu China
Quan Li China
Mark E. Welland United Kingdom
Jae‐Hoon Park South Korea
Manuel Márquez United States
Rizia Bardhan United States
Shan X. Wang relative to Philip M. Rice United States Philip M. Rice's profile →
Citations per field
00.5×2.7×
Philip M. Rice · 1×
Citations per year

Countries citing papers authored by Shan X. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shan X. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan X. 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 Shan X. Wang. The network helps show where Shan X. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20233
4 20234
5 20225
6 20216
7 202122
8 202022
9 201917
10 20191
11 201816
12 201815
13 201835
14 20178
15 201629
16 20127
17 201168
18 201063
19 200993
20 2008116

About Shan X. Wang

Shan X. Wang is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Biomedical Engineering and Electrical and Electronic Engineering, having authored 203 papers that have together received 12.3k indexed citations. Recurring topics across this work include Magnetic properties of thin films (76 papers), Advanced biosensing and bioanalysis techniques (38 papers), Biosensors and Analytical Detection (21 papers), Microfluidic and Bio-sensing Technologies (20 papers), Characterization and Applications of Magnetic Nanoparticles (19 papers), Advanced Memory and Neural Computing (18 papers), Magnetic Field Sensors Techniques (17 papers) and Advanced Biosensing Techniques and Applications (17 papers). The work is most often cited by research in Biomaterials (2.3k citations), Electronic, Optical and Magnetic Materials (2.9k citations), Biomedical Engineering (4.9k citations), Materials Chemistry (4.8k citations) and Renewable Energy, Sustainability and the Environment (1.5k citations). Shan X. Wang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Shouheng Sun, Philip M. Rice, Guanxiong Li, Hao Zeng, David Robinson, Simone Raoux, Robert L. White, Heng Yu, Min Chen and Sanjiv S. Gambhir. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, Applied Physics Letters, Biosensors and Bioelectronics and Nano 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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