Wonsuk Yang

853 citations
21 papers · 633 · h-index 10

Impact in

Papers in

Wonsuk Yang

20 papers receiving 618 citations

Peers

Wonsuk Yang
Comparison fields: 5 of 92
  • Biological Psychiatry 28
  • Neurology 57
  • Neurology 79
  • Developmental Neuroscience 19
  • Surgery 184
Replace Hsin‐Hua Li with:
Hsin‐Hua Li Taiwan
Tz‐Chuen Ju Taiwan
Hyun‐Jeung Yu South Korea
Ji‐Hoon Song South Korea
Carmen López‐Sánchez Spain
Nobutaka Morimoto Japan
Huaqi Xiong Canada
Jung Hyun Boo South Korea
Syed Kamran Pakistan
Jian-Guo Cui United States
Wonsuk Yang relative to Hsin‐Hua Li Taiwan Hsin‐Hua Li's profile →
Citations per field
00.5×1.5×2.1×
Hsin‐Hua Li · 1×
Citations per year

Countries citing papers authored by Wonsuk Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wonsuk Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016130
2 200990
3 200585
4 201480
5 200871
6 200746
7 202137
8 201036
9 201421
10 201313
11 20217
12 20193
13 20203
14 20232
15 20222
16 20172
17 20192
18
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos
20211
19
Overexpression of Human Arginine Decarboxylase Rescues Human Mesenchymal Stem Cells against H2O2 Toxicity through Cell Survival Protein Activation
20131
20
A Corpus of Sentence-level Annotations of Local Acceptability with Reasons
20191

About Wonsuk Yang

Wonsuk Yang is a scholar working on Molecular Biology, Artificial Intelligence, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 21 papers that have together received 633 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Paraquat toxicity studies and treatments (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Advanced Text Analysis Techniques (3 papers), Multimodal Machine Learning Applications (2 papers), Nerve injury and regeneration (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Neurology (57 citations), Neurology (79 citations), Developmental Neuroscience (19 citations) and Surgery (184 citations). Wonsuk Yang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Evelyn Tiffany‐Castiglioni, Ilhong Son, Hyun Chul Koh, Dong‐Wook Kim, Kyung Ah Park, Jong Eun Lee, Won Taek Lee, Hyun‐Jin Cho, Juhyun Song and Inhwa Hwang. Their work appears in journals such as Journal of Toxicology and Environmental Health, Toxicology Letters, Nature Communications, Journal of Psycholinguistic Research and Journal of Korean Medical 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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