Sungdong Kim

7.2k citations
42 papers · 4.0k indexed · 1 hit paper · h-index 12

Sungdong Kim

37 papers receiving 3.8k citations

Hit Papers

BioBERT: a pre-trained biomedical language representation...3.6k201920262021202310002.0k3.0k

Peers

Sungdong Kim
Comparison fields: 5 of 163
  • Health Informatics 274
  • Artificial Intelligence 2.8k
  • Health Information Management 156
  • Molecular Biology 1.5k
  • General Social Sciences 53
Replace Donghyeon Kim with:
Donghyeon Kim South Korea
Wonjin Yoon South Korea
Jinhyuk Lee South Korea
Hoifung Poon United States
Goran Nenadić United Kingdom
Tristan Naumann United States
Hong Yu United States
Makoto Miwa Japan
Kirk Roberts United States
Prakash M. Nadkarni United States
Sungdong Kim relative to Donghyeon Kim South Korea Donghyeon Kim's profile →
Citations per field
00.5×3.8×
Donghyeon Kim · 1×
Citations per year

Countries citing papers authored by Sungdong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sungdong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4
BioBERT: a pre-trained biomedical language representation model for biomedical text miningbreakdown →
20193644
5 20181
6 201713
7 20174
8 201612
9 20163
10 201617
11 201613
12 201448
13 201442
14 201328
15 20133
16 20123
17 20121
18
The Effects of UBM and SnAgCu Solder on Drop Impact Reliability of Wafer Level Package
20102
19 20098
20 20015

About Sungdong Kim

Sungdong Kim is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include 3D IC and TSV technologies (24 papers), Electronic Packaging and Soldering Technologies (15 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), ZnO doping and properties (7 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Heat Transfer and Optimization (5 papers), Copper Interconnects and Reliability (5 papers) and Advanced Surface Polishing Techniques (5 papers). The work is most often cited by research in Health Informatics (274 citations), Artificial Intelligence (2.8k citations) and Health Information Management (156 citations). Sungdong Kim has collaborated with scholars based in South Korea, Netherlands and United States. Frequent co-authors include Donghyeon Kim, Wonjin Yoon, Jinhyuk Lee, Sunkyu Kim, Jaewoo Kang, Sarah Eunkyung Kim, Joseph Um, Minjae Lee, Cheol Kim and Byoung‐Tak Zhang. Their work appears in journals such as Bioinformatics, Journal of Applied Physics and Applied Surface Science.

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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