G. Tang

524 citations
12 papers · 472 · h-index 10

Impact in

Papers in

    • Magnetic Properties and Synthesis of Ferrites 2
    • Titanium Alloys Microstructure and Properties 2
    • Ferroelectric and Piezoelectric Materials 1
    • Ferroelectric and Negative Capacitance Devices 3
    • Advanced Memory and Neural Computing 3

G. Tang

12 papers receiving 463 citations

Peers

G. Tang
Comparison fields: 5 of 58
  • Biomaterials 65
  • Condensed Matter Physics 58
  • Biomedical Engineering 182
  • Materials Chemistry 187
  • Polymers and Plastics 50
Replace Ye Kong with:
Ye Kong China
Liting Yi China
Cem Balda Dayan Germany
V. F. Freitas Brazil
Ahmet Gün Erlat United States
Jingyun Wang China
Shengyao Li China
Maurizio R. Gullo Switzerland
Young Hwan Choi South Korea
G. Tang relative to Ye Kong China Ye Kong's profile →
Citations per field
00.5×4.3×
Ye Kong · 1×
Citations per year

Countries citing papers authored by G. Tang

Since Specialization
Citations

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

Fields of papers citing papers by G. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201296
2 201376
3 200355
4 200750
5 200649
6 200742
7 200631
8 201331
9 201220
10 201317
11
Raman and SEM Characterization of Electrospun WO3 Nanofibers
20133
12 20122

About G. Tang

G. Tang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Biomaterials and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 472 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Memory and Neural Computing (3 papers), Bone Tissue Engineering Materials (3 papers), Iron oxide chemistry and applications (2 papers), Magnesium Alloys: Properties and Applications (2 papers), Magnetic Properties and Synthesis of Ferrites (2 papers), Titanium Alloys Microstructure and Properties (2 papers) and Ferroelectric and Piezoelectric Materials (1 paper). The work is most often cited by research in Biomaterials (65 citations), Condensed Matter Physics (58 citations), Biomedical Engineering (182 citations), Materials Chemistry (187 citations) and Polymers and Plastics (50 citations). G. Tang has collaborated with scholars based in China. Frequent co-authors include Feng Pan, Fei Zeng, Huan Liu, Yue Qian, Jiamin Wan, Renji Zhang, Yongnian Yan, Jun Wan, Youwei Yao and Cheng Song. Their work appears in journals such as Applied Physics A, Journal of Biomedical Materials Research Part A, Journal of Applied Physics, Materials Letters and physica status solidi (RRL) - Rapid Research 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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