Jun Ge

2.8k citations
70 papers · 2.4k indexed · h-index 26

Impact in

Papers in

    • 2D Materials and Applications 13
    • Ferroelectric and Piezoelectric Materials 8
    • Advanced Memory and Neural Computing 15
    • Perovskite Materials and Applications 10
    • Chalcogenide Semiconductor Thin Films 7
    • Ferroelectric and Negative Capacitance Devices 7

Jun Ge

69 papers receiving 2.4k citations

Peers

Jun Ge
Comparison fields: 5 of 85
  • Electronic, Optical and Magnetic Materials 552
  • Materials Chemistry 1.3k
  • Electrical and Electronic Engineering 1.5k
  • Polymers and Plastics 365
  • Catalysis 151
Replace Pu‐Wei Wu with:
Pu‐Wei Wu Taiwan
William F. Stickle United States
Jiang Yin China
Qiyang Lu United States
Chuanhui Gong China
Eun Kwang Lee South Korea
Shaobo Cheng China
Yiliu Wang China
Seung Jo Yoo South Korea
Jun Ge relative to Pu‐Wei Wu Taiwan Pu‐Wei Wu's profile →
Citations per field
00.5×1.5×
Pu‐Wei Wu · 1×
Citations per year

Countries citing papers authored by Jun Ge

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013214
2 2013208
3 2011160
4 2004149
5 2004130
6 2019120
7 2013106
8 201796
9 201494
10 202089
11 200583
12 201974
13 201660
14 201958
15 202250
16 202449
17 201348
18 201344
19 202041
20 201739

About Jun Ge

Jun Ge is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Polymers and Plastics and Renewable Energy, Sustainability and the Environment, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), 2D Materials and Applications (13 papers), Perovskite Materials and Applications (10 papers), Ferroelectric and Piezoelectric Materials (8 papers), Chalcogenide Semiconductor Thin Films (7 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Acoustic Wave Resonator Technologies (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (552 citations), Materials Chemistry (1.3k citations), Electrical and Electronic Engineering (1.5k citations), Polymers and Plastics (365 citations) and Catalysis (151 citations). Jun Ge has collaborated with scholars based in China, France and United States. Frequent co-authors include Liwei Chen, Shusheng Pan, Guanghui Cheng, Hongwei Chen, Mohamed Chaker, Wei Lü, Changhong Wang, Xie Guoyong, Zhenyu Liu and Qingya Liu. Their work appears in journals such as Applied Physics Letters, ACS Applied Materials & Interfaces, Nanoscale, Ceramics International and Advanced Science.

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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