Youngsam Kim

49 papers receiving 1.3k citations

Youngsam Kim's Hit Papers

Selenium- and Tellurium-Containing Fluorescent Molecular Probes for the Detection of Biologically Important Analytes 2014 · 342 citations
3420+4+8Years since publication100200300

Peers

Youngsam Kim
Comparison fields: 5 of 104
  • Biochemistry 477
  • Toxicology 210
  • Spectroscopy 672
  • Bioengineering 64
  • Materials Chemistry 426
Replace Jingpei Wang with:
Jingpei Wang China
Xiongjie Zhao China
Zhongyong Xu China
Tianhong Wu China
Ajit Kumar Mahapatra India
Vishnu Ji Ram India
Shobha Bhattachar United States
Youngsam Kim relative to Jingpei Wang China Jingpei Wang's profile →
Citations per field
00.5×10×15×20×23.3×
Jingpei Wang · 1×
Citations per year

Countries citing papers authored by Youngsam Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngsam Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Selenium- and Tellurium-Containing Fluorescent Molecular Probes for the Detection of Biologically Important Analytes
Hit paper breakdown →
2014342
2 2018151
3 201695
4 201962
5 201753
6 201748
7 201646
8 201745
9 201644
10 201741
11 201836
12 201228
13 201428
14 201626
15 201723
16 201823
17 201420
18 199818
19 201615
20
Applying Graph-based Keyword Extraction to Document Retrieval
201313

About Youngsam Kim

Youngsam Kim is a scholar working on Spectroscopy, Biochemistry, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (14 papers), Sulfur Compounds in Biology (13 papers), Nitric Oxide and Endothelin Effects (4 papers), Organoselenium and organotellurium chemistry (4 papers), Robotic Path Planning Algorithms (4 papers), Guidance and Control Systems (4 papers), Speech and Audio Processing (4 papers) and Biometric Identification and Security (3 papers). The work is most often cited by research in Biochemistry (477 citations), Toxicology (210 citations), Spectroscopy (672 citations), Bioengineering (64 citations) and Materials Chemistry (426 citations). Youngsam Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include David G. Churchill, Sudesh T. Manjare, Sandip V. Mulay, Minsuk Choi, Sangyong Jon, Yunho Lee, Youn Jeong Jang, Jonghoon Choi, Dong Yun Lee and Joon Heo. Their work appears in journals such as Chemistry - An Asian Journal, RSC Advances, Chemistry - A European Journal, New Journal of Chemistry and Sensors and Actuators B Chemical.

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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