Baekjun Kim

941 total citations
7 papers, 680 citations indexed

About

Baekjun Kim is a scholar working on Inorganic Chemistry, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Baekjun Kim has authored 7 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Inorganic Chemistry, 5 papers in Materials Chemistry and 2 papers in Artificial Intelligence. Recurrent topics in Baekjun Kim's work include Metal-Organic Frameworks: Synthesis and Applications (5 papers), Machine Learning in Materials Science (4 papers) and Zeolite Catalysis and Synthesis (3 papers). Baekjun Kim is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (5 papers), Machine Learning in Materials Science (4 papers) and Zeolite Catalysis and Synthesis (3 papers). Baekjun Kim collaborates with scholars based in South Korea, Switzerland and United States. Baekjun Kim's co-authors include Jihan Kim, Sangwon Lee, Sanggyu Chong, Sarah Yunmi Lee, Eun Seon Cho, Hyun Cho, Berend Smit, Peter G. Boyd, Myungchul Kim and Ben Lee and has published in prestigious journals such as Chemistry of Materials, Coordination Chemistry Reviews and ACS Applied Materials & Interfaces.

In The Last Decade

Baekjun Kim

7 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Baekjun Kim South Korea	7	511	381	98	72	60	7	680
Sangwon Lee South Korea	11	595 1.2×	457 1.2×	137 1.4×	73 1.0×	109 1.8×	18	853
Soonhyoung Kwon United States	9	400 0.8×	227 0.6×	80 0.8×	46 0.6×	66 1.1×	18	600
Zach Jensen United States	8	481 0.9×	227 0.6×	77 0.8×	85 1.2×	51 0.8×	9	630
Hyunsoo Park South Korea	13	392 0.8×	244 0.6×	62 0.6×	48 0.7×	62 1.0×	26	604
Dylan M. Anstine United States	14	387 0.8×	132 0.3×	91 0.9×	159 2.2×	99 1.6×	24	618
Shuangquan Hu Singapore	12	274 0.5×	68 0.2×	96 1.0×	37 0.5×	57 0.9×	16	480
Yeonghun Kang South Korea	7	263 0.5×	178 0.5×	26 0.3×	42 0.6×	32 0.5×	10	371
Chuanfu Wang China	18	666 1.3×	473 1.2×	258 2.6×	15 0.2×	226 3.8×	48	1.1k
Travis Williams United States	6	475 0.9×	39 0.1×	210 2.1×	60 0.8×	142 2.4×	10	719
Sai Govind Hari Kumar Canada	8	401 0.8×	139 0.4×	99 1.0×	54 0.8×	47 0.8×	9	860

Countries citing papers authored by Baekjun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Baekjun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baekjun Kim

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

All Works

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7 of 7 papers shown

1.

Kim, Baekjun, et al.. (2024). Data-Driven Design of Flexible Metal–Organic Frameworks for Gas Storage. Chemistry of Materials. 36(11). 5465–5473. 15 indexed citations

2.

Lee, Sangwon, Baekjun Kim, Hyun Cho, et al.. (2021). Computational Screening of Trillions of Metal–Organic Frameworks for High-Performance Methane Storage. ACS Applied Materials & Interfaces. 13(20). 23647–23654. 152 indexed citations

3.

Kim, Baekjun, Sangwon Lee, & Jihan Kim. (2020). Inverse design of porous materials using artificial neural networks. Science Advances. 6(1). eaax9324–eaax9324. 254 indexed citations

4.

Kim, Baekjun, et al.. (2020). VTIM: Video Title Identification Using Open Metadata. IEEE Access. 8. 113567–113584. 7 indexed citations

5.

Chong, Sanggyu, Sangwon Lee, Baekjun Kim, & Jihan Kim. (2020). Applications of machine learning in metal-organic frameworks. Coordination Chemistry Reviews. 423. 213487–213487. 165 indexed citations

6.

Lee, Sangwon, Baekjun Kim, & Jihan Kim. (2019). Predicting performance limits of methane gas storage in zeolites with an artificial neural network. Journal of Materials Chemistry A. 7(6). 2709–2716. 34 indexed citations

7.

Kim, Baekjun, et al.. (2017). Text Mining Metal–Organic Framework Papers. Journal of Chemical Information and Modeling. 58(2). 244–251. 53 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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