Jun Young Peter Ko

471 total citations
8 papers, 399 citations indexed

About

Jun Young Peter Ko is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Jun Young Peter Ko has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 5 papers in Electronic, Optical and Magnetic Materials and 3 papers in Materials Chemistry. Recurrent topics in Jun Young Peter Ko's work include Advancements in Battery Materials (4 papers), Advanced Battery Materials and Technologies (4 papers) and Supercapacitor Materials and Fabrication (3 papers). Jun Young Peter Ko is often cited by papers focused on Advancements in Battery Materials (4 papers), Advanced Battery Materials and Technologies (4 papers) and Supercapacitor Materials and Fabrication (3 papers). Jun Young Peter Ko collaborates with scholars based in United States, China and Canada. Jun Young Peter Ko's co-authors include Jianming Bai, Feng Wang, Ming‐Jian Zhang, Zonghai Chen, Khalil Amine, Feng Pan, Jiaxin Zheng, E. Dooryhée, Yandong Duan and Ashfia Huq and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Advanced Energy Materials.

In The Last Decade

Jun Young Peter Ko

8 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Young Peter Ko United States 5 359 101 99 99 74 8 399
Zhining Wei China 9 370 1.0× 97 1.0× 110 1.1× 110 1.1× 42 0.6× 16 400
Alex Mesnier United States 8 371 1.0× 66 0.7× 163 1.6× 98 1.0× 59 0.8× 9 393
Nafiseh Zaker Canada 9 485 1.4× 127 1.3× 184 1.9× 122 1.2× 53 0.7× 15 503
Guangchang Yang China 11 331 0.9× 109 1.1× 115 1.2× 89 0.9× 46 0.6× 19 345
Anshika Goel United States 6 411 1.1× 126 1.2× 122 1.2× 79 0.8× 49 0.7× 7 417
Jingze Bao China 9 463 1.3× 108 1.1× 84 0.8× 55 0.6× 134 1.8× 10 515
Ryoichi Okuyama Japan 6 380 1.1× 72 0.7× 92 0.9× 73 0.7× 93 1.3× 9 406
Lukas Haneke Germany 11 369 1.0× 86 0.9× 176 1.8× 49 0.5× 86 1.2× 20 421
Baiyu Guo China 13 300 0.8× 169 1.7× 104 1.1× 41 0.4× 93 1.3× 30 455
Ines Hamam Canada 10 466 1.3× 84 0.8× 235 2.4× 116 1.2× 34 0.5× 17 482

Countries citing papers authored by Jun Young Peter Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jun Young Peter Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Young Peter Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Young Peter Ko. A scholar is included among the top collaborators of Jun Young Peter Ko 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 Jun Young Peter Ko. Jun Young Peter Ko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Bai, Jianming, Wenhao Sun, Jianqing Zhao, et al.. (2020). Kinetic Pathways Templated by Low-Temperature Intermediates during Solid-State Synthesis of Layered Oxides. Chemistry of Materials. 32(23). 9906–9913. 47 indexed citations
2.
Zhang, Ming‐Jian, Xiaobing Hu, Maofan Li, et al.. (2019). Cooling Induced Surface Reconstruction during Synthesis of High‐Ni Layered Oxides. Advanced Energy Materials. 9(43). 48 indexed citations
3.
Wang, Dawei, Chao Xin, Ming‐Jian Zhang, et al.. (2019). Intrinsic Role of Cationic Substitution in Tuning Li/Ni Mixing in High-Ni Layered Oxides. Chemistry of Materials. 31(8). 2731–2740. 128 indexed citations
4.
Zhang, Ming‐Jian, Gaofeng Teng, Yu‐chen Karen Chen‐Wiegart, et al.. (2018). Cationic Ordering Coupled to Reconstruction of Basic Building Units during Synthesis of High-Ni Layered Oxides. Journal of the American Chemical Society. 140(39). 12484–12492. 146 indexed citations
5.
Bucsek, Ashley, Darren Dale, Jun Young Peter Ko, Y.I. Chumlyakov, & Aaron P. Stebner. (2018). Measuring stress-induced martensite microstructures using far-field high-energy diffraction microscopy. Acta Crystallographica Section A Foundations and Advances. 74(5). 425–446. 23 indexed citations
6.
Koo, Min‐Ho, Eungyu Park, Jina Jeong, et al.. (2016). Applications of Gaussian Process Regression to Groundwater Quality Data. Journal of Soil and Groundwater Environment. 21(6). 67–79. 1 indexed citations
7.
Corcoran, Patricia L., et al.. (2012). Cathodoluminescence, X-ray excited optical luminescence, and X-ray absorption near-edge structure studies of ZnO nanostructures. Canadian Journal of Chemistry. 90(3). 298–305. 4 indexed citations
8.
Murphy, Michael W., et al.. (2009). Morphology-dependent luminescence from ZnO nanostructures — An X-ray excited optical luminescence study at the Zn K-edge. Canadian Journal of Chemistry. 87(9). 1255–1260. 2 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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