Gui Wang

420 citations
32 papers · 327 · h-index 11

Impact in

Papers in

    • Machine Learning in Materials Science 4
    • 2D Materials and Applications 3
    • Electronic and Structural Properties of Oxides 2
    • Ferroelectric and Piezoelectric Materials 2
    • ZnO doping and properties 2
    • Advanced Thermoelectric Materials and Devices 2
    • High-pressure geophysics and materials 4

Gui Wang

29 papers receiving 316 citations

Peers

Gui Wang
Comparison fields: 5 of 35
  • Materials Chemistry 118
  • Renewable Energy, Sustainability and the Environment 45
  • Condensed Matter Physics 22
  • Geophysics 24
  • Electrical and Electronic Engineering 71
Replace Saïd Lakel with:
Saïd Lakel Algeria
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Qiwei Hu China
Shang Shi Peng China
Riki Kataoka Japan
S. Ferrari Argentina
Hadi Sena Japan
Yikai Yang China
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Gui Wang relative to Saïd Lakel Algeria Saïd Lakel's profile →
Citations per field
00.5×2×2.8×
Saïd Lakel · 1×
Citations per year

Countries citing papers authored by Gui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202246
2 202038
3 202234
4 201633
5 202117
6 201816
7 202015
8 202314
9 202413
10 202311
11 202411
12 202210
13 20158
14 20238
15
A Change Detection Algorithm for Man-made Objects Based on Multi-temporal Remote Sensing Images
20087
16 20226
17 20236
18 20225
19 20235
20 20254

About Gui Wang

Gui Wang is a scholar working on Materials Chemistry, Geophysics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 32 papers that have together received 327 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), High-pressure geophysics and materials (4 papers), 2D Materials and Applications (3 papers), Multiferroics and related materials (3 papers), Electronic and Structural Properties of Oxides (2 papers), Ferroelectric and Piezoelectric Materials (2 papers), ZnO doping and properties (2 papers) and Advanced Thermoelectric Materials and Devices (2 papers). The work is most often cited by research in Materials Chemistry (118 citations), Renewable Energy, Sustainability and the Environment (45 citations), Condensed Matter Physics (22 citations), Geophysics (24 citations) and Electrical and Electronic Engineering (71 citations). Gui Wang has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Pu Huang, Kunling Peng, Zhengfang Qian, Xiaoyuan Zhou, Hong Wu, Xiaoliang Zhang, Hong-Zhong Cao, Hongliang Dong, Haiqing Ma and Xueping Ding. Their work appears in journals such as Physical Review Applied, The Journal of Physical Chemistry Letters, Nano Energy, Science Advances and Journal of Materials Chemistry C.

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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