Jun Ge

2.9k citations
71 papers · 2.6k · h-index 27

Impact in

Papers in

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

Jun Ge

69 papers receiving 2.5k citations

Peers

Jun Ge
Comparison fields: 5 of 80
  • Electronic, Optical and Magnetic Materials 569
  • Materials Chemistry 1.3k
  • Electrical and Electronic Engineering 1.6k
  • Polymers and Plastics 380
  • Catalysis 153
Replace Jin-Gyu Kim with:
Jin-Gyu Kim South Korea
Jiang Yin China
Pu‐Wei Wu Taiwan
William F. Stickle United States
Zia ur Rehman China
Eun Kwang Lee South Korea
Shaobo Cheng China
Chuanhui Gong China
Seung Jo Yoo South Korea
Jun Ge relative to Jin-Gyu Kim South Korea Jin-Gyu Kim's profile →
Citations per field
00.5×1.5×
Jin-Gyu Kim · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013218
2 2013217
3 2011173
4 2004151
5 2004131
6 2019124
7 2013109
8 201798
9 201497
10 202093
11 200588
12 201980
13 201666
14 201959
15 202456
16 202254
17 201352
18 201346
19 202042
20 201741

About Jun Ge

Jun Ge is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 71 papers that have together received 2.6k 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), Ferroelectric and Negative Capacitance Devices (7 papers), Chalcogenide Semiconductor Thin Films (7 papers), Neuroscience and Neural Engineering (6 papers) and Acoustic Wave Resonator Technologies (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (569 citations), Materials Chemistry (1.3k citations), Electrical and Electronic Engineering (1.6k citations), Polymers and Plastics (380 citations) and Catalysis (153 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, Changhong Wang, Wei Lü, Mohamed Chaker, Genshui Wang, Xie Guoyong and Zhenyu Liu. Their work appears in journals such as Applied Physics Letters, Nanoscale, ACS Applied Materials & Interfaces, Advanced Science and Ceramics International.

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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