Jun Kong

426 citations
29 papers · 339 · h-index 11

Impact in

Papers in

Jun Kong

26 papers receiving 333 citations

Peers

Jun Kong
Comparison fields: 5 of 41
  • Materials Chemistry 237
  • Electrical and Electronic Engineering 212
  • Fluid Flow and Transfer Processes 21
  • Geophysics 18
  • Renewable Energy, Sustainability and the Environment 22
Replace Sérgio L. L. M. Ramos with:
Sérgio L. L. M. Ramos Brazil
V. McGahay United States
Aris Marcolongo Switzerland
S. Julsrud Norway
J. Walter Japan
Hojat Allah Badehian Iran
S.K. Rakshit India
S. Cunis Germany
Rachel S. Aga United States
Riccardo Dettori Italy
Jun Kong relative to Sérgio L. L. M. Ramos Brazil Sérgio L. L. M. Ramos's profile →
Citations per field
00.5×3.5×
Sérgio L. L. M. Ramos · 1×
Citations per year

Countries citing papers authored by Jun Kong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201340
3 202036
4 201828
5 202127
6 201824
7 199218
8 201916
9 202114
10 202512
11 201110
12 20199
13 20138
14 20217
15 20116
16 20245
17 20234
18 19914
19 20134
20
High-yield large area MoS2 technology: Material, device and circuits co-optimization
20163

About Jun Kong

Jun Kong is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Mechanics of Materials, Geophysics and Renewable Energy, Sustainability and the Environment, having authored 29 papers that have together received 339 indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (8 papers), Quantum Dots Synthesis And Properties (7 papers), High-pressure geophysics and materials (5 papers), Energetic Materials and Combustion (4 papers), Copper-based nanomaterials and applications (4 papers), Luminescence and Fluorescent Materials (3 papers), Advanced Photocatalysis Techniques (2 papers) and Biodiesel Production and Applications (2 papers). The work is most often cited by research in Materials Chemistry (237 citations), Electrical and Electronic Engineering (212 citations), Fluid Flow and Transfer Processes (21 citations), Geophysics (18 citations) and Renewable Energy, Sustainability and the Environment (22 citations). Jun Kong has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Sixin Wu, Zhengji Zhou, Wenhui Zhou, Shengjie Yuan, Qingwen Tian, Houlin Wang, Guoqiang Yang, Xiao Dong, Kaiyuan Shi and Lei Su. Their work appears in journals such as The Journal of Physical Chemistry C, ACS Applied Energy Materials, Journal of Materials Science Materials in Electronics, Thin Solid Films and Renewable Energy.

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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