Junu Kim

3.6k total citations · 1 hit paper
9 papers, 3.0k citations indexed

About

Junu Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Junu Kim has authored 9 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 8 papers in Materials Chemistry and 1 paper in Molecular Biology. Recurrent topics in Junu Kim's work include Perovskite Materials and Applications (8 papers), Quantum Dots Synthesis And Properties (4 papers) and Solid-state spectroscopy and crystallography (3 papers). Junu Kim is often cited by papers focused on Perovskite Materials and Applications (8 papers), Quantum Dots Synthesis And Properties (4 papers) and Solid-state spectroscopy and crystallography (3 papers). Junu Kim collaborates with scholars based in South Korea, United Kingdom and China. Junu Kim's co-authors include Kwang S. Kim, Jongbeom Kim, Young Ki Kim, Do Yoon Lee, Hanul Min, Tae Joo Shin, Kyoung Su Lee, Sang Il Seok, Min Jae Paik and Min Gyu Kim and has published in prestigious journals such as Nature, Advanced Energy Materials and Journal of Materials Chemistry A.

In The Last Decade

Junu Kim

9 papers receiving 3.0k citations

Hit Papers

Perovskite solar cells with atomically coherent interlaye... 2021 2026 2022 2024 2021 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junu Kim South Korea 8 2.9k 1.9k 1.4k 145 108 9 3.0k
Xufeng Ling China 34 4.0k 1.4× 3.0k 1.6× 1.4k 1.0× 247 1.7× 132 1.2× 59 4.2k
In Woo Choi South Korea 9 3.3k 1.1× 1.8k 1.0× 1.7k 1.2× 120 0.8× 118 1.1× 14 3.3k
Matthew R. Chua United States 7 3.3k 1.1× 2.1k 1.1× 1.5k 1.1× 149 1.0× 113 1.0× 9 3.4k
Caleb C. Boyd United States 14 3.8k 1.3× 2.2k 1.2× 1.6k 1.2× 141 1.0× 141 1.3× 18 3.8k
Axel F. Palmstrom United States 25 3.6k 1.2× 2.1k 1.1× 1.4k 1.0× 143 1.0× 109 1.0× 44 3.7k
Taylor Moot United States 16 1.6k 0.5× 1.1k 0.6× 481 0.3× 114 0.8× 91 0.8× 20 1.7k
Kyoung Su Lee South Korea 6 4.3k 1.4× 2.7k 1.4× 2.0k 1.4× 172 1.2× 156 1.4× 9 4.3k
Seong Sik Shin South Korea 13 2.8k 0.9× 1.9k 1.0× 1.3k 0.9× 309 2.1× 128 1.2× 24 3.1k
Sam Teale Canada 18 2.2k 0.7× 1.4k 0.7× 967 0.7× 105 0.7× 83 0.8× 25 2.3k
Chongwen Li United States 32 3.4k 1.2× 1.8k 1.0× 1.6k 1.2× 141 1.0× 101 0.9× 64 3.5k

Countries citing papers authored by Junu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Junu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junu Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Junu Kim. A scholar is included among the top collaborators of Junu Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junu Kim. Junu Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Myung, Chang Woo, Amir Hajibabaei, Ji‐Hyun Cha, et al.. (2022). Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives. Advanced Energy Materials. 12(45). 39 indexed citations
2.
Ba, Qiankai, Junu Kim, Hyunsik Im, Shenghuang Lin, & Atanu Jana. (2021). Modulation of the optical bandgap and photoluminescence quantum yield in pnictogen (Sb3+/Bi3+)-doped organic–inorganic tin(IV) perovskite single crystals and nanocrystals. Journal of Colloid and Interface Science. 606(Pt 1). 808–816. 25 indexed citations
3.
Min, Hanul, Do Yoon Lee, Junu Kim, et al.. (2021). Perovskite solar cells with atomically coherent interlayers on SnO2 electrodes. Nature. 598(7881). 444–450. 2699 indexed citations breakdown →
4.
Hajibabaei, Amir, et al.. (2021). Machine Learning of First-Principles Force-Fields for Alkane and Polyene Hydrocarbons. The Journal of Physical Chemistry A. 125(42). 9414–9420. 31 indexed citations
5.
Kim, Junu, Yun Seop Shin, Aditya Narayan Singh, et al.. (2020). Unfolding the Influence of Metal Doping on Properties of CsPbI3 Perovskite. Small Methods. 4(9). 35 indexed citations
6.
Singh, Aditya Narayan, et al.. (2020). Interface Engineering Driven Stabilization of Halide Perovskites against Moisture, Heat, and Light for Optoelectronic Applications. Advanced Energy Materials. 10(30). 90 indexed citations
8.
Kim, Junu, Kwang S. Kim, & Chang Woo Myung. (2020). Efficient electron extraction of SnO2 electron transport layer for lead halide perovskite solar cell. npj Computational Materials. 6(1). 70 indexed citations
9.
Kim, Gi-Hwan, Chang Woo Myung, Yun Seop Shin, et al.. (2019). A thermally stable, barium-stabilized α-CsPbI3 perovskite for optoelectronic devices. Journal of Materials Chemistry A. 7(38). 21740–21746. 46 indexed citations

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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