Young Hwan Chang

4.6k citations
105 papers · 1.4k indexed · h-index 19
Topics
Single-cell and spatial transcriptomics (23 papers)Cell Image Analysis Techniques (19 papers)Cancer Cells and Metastasis (12 papers)

In The Last Decade

Young Hwan Chang

99 papers receiving 1.4k citations

Peers

Young Hwan Chang
Comparison fields: 5 of 130
  • Oncology 492
  • Molecular Biology 423
  • Biomedical Engineering 246
  • Control and Systems Engineering 209
  • Immunology 189
Replace Alessandro Bevilacqua with:
Alessandro Bevilacqua Italy
Biao Luo China
Eric Bullinger Germany
Bahram Parvin United States
Tao Peng China
Marco Beccuti Italy
Paul G. O’Reilly United Kingdom
Paul S. Andrews United Kingdom
Zeynep H. Gümüş United States
Jie Tian China
Young Hwan Chang relative to Alessandro Bevilacqua Italy Alessandro Bevilacqua's profile →
Citations per field
00.5×12.3×
Alessandro Bevilacqua · 1×
Citations per year

Countries citing papers authored by Young Hwan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Young Hwan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Hwan Chang. 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 Young Hwan Chang. The network helps show where Young Hwan Chang may publish in the future.

Co-authorship network of co-authors of Young Hwan Chang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 0
4 3
5 1
6 71
7 2
8 6
9 7
10 13
11 26
12 23
13 20
14 24
15 11
16 21
17 126
18 25
19
Secure Estimation for Unmanned Aerial Vehicles against Adversarial Cyber Attacks.
2
20 4

About Young Hwan Chang

Young Hwan Chang is a scholar working on Biophysics, Structural Biology and Oncology, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (23 papers), Cell Image Analysis Techniques (19 papers) and Cancer Cells and Metastasis (12 papers). The work is most often cited by research in Biophysics (143 citations), Oncology (492 citations) and Control and Systems Engineering (209 citations). Young Hwan Chang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Claire J. Tomlin, Joe W. Gray, Qie Hu, Guillaume Thibault, Julia Femel, Amanda W. Lund, Dariush Fooladivanda, Takahiro Tsujikawa, Erik A. Burlingame and Motomi Mori. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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