Yoonki Song

563 citations
4 papers · 397 indexed · 1 hit paper · h-index 4
Topics
Software Engineering Research (4 papers)Software Engineering Techniques and Practices (3 papers)Software System Performance and Reliability (2 papers)
Journals
2013 35th International Conference on Software Engineering (ICSE)
Partner nations
United StatesChina

In The Last Decade

Yoonki Song

4 papers receiving 386 citations

Hit Papers

Why don't software developers use static analysis tools t...20132026201720212013100200300

Peers

Yoonki Song
Comparison fields: 5 of 36
  • Information Systems 332
  • Software 234
  • Signal Processing 113
  • Computer Networks and Communications 78
  • Artificial Intelligence 68
Replace Davood Mazinanian with:
Davood Mazinanian Canada
Aditya Kanade India
Anand Ashok Sawant Netherlands
Hamid Abdul Basit Pakistan
Bart Du Bois Belgium
Foyzul Hassan United States
Dhavleesh Rattan India
Stéphane Vaucher Canada
Zachary P. Fry United States
Yoonki Song relative to Davood Mazinanian Canada Davood Mazinanian's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Yoonki Song

Since Specialization
Citations

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

Fields of papers citing papers by Yoonki Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonki Song

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 20
2
Why don't software developers use static analysis tools to find bugs?breakdown →
345
3 19
4 13

About Yoonki Song

Yoonki Song is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 4 papers that have together received 397 indexed citations. Recurring topics across this work include Software Engineering Research (4 papers), Software Engineering Techniques and Practices (3 papers) and Software System Performance and Reliability (2 papers). The work is most often cited by research in Software (234 citations), Information Systems (332 citations) and Signal Processing (113 citations). Yoonki Song has collaborated with scholars based in United States and China. Frequent co-authors include Brittany Johnson, Emerson Murphy-Hill, Robert W. Bowdidge, Tao Xie, Titus Barik, Lu Zhang, Xiaoyin Wang, Hong Mei and Suresh Thummalapenta. Their work appears in journals such as 2013 35th International Conference on Software Engineering (ICSE).

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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