Jaechang Nam

2.2k total citations · 4 hit papers
18 papers, 1.6k citations indexed

About

Jaechang Nam is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Jaechang Nam has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 16 papers in Software and 6 papers in Computer Networks and Communications. Recurrent topics in Jaechang Nam's work include Software Engineering Research (16 papers), Software Reliability and Analysis Research (13 papers) and Software Testing and Debugging Techniques (7 papers). Jaechang Nam is often cited by papers focused on Software Engineering Research (16 papers), Software Reliability and Analysis Research (13 papers) and Software Testing and Debugging Techniques (7 papers). Jaechang Nam collaborates with scholars based in South Korea, Hong Kong and Canada. Jaechang Nam's co-authors include Sunghun Kim, Sinno Jialin Pan, Lin Tan, Dongsun Kim, Jaewoo Song, Song Wang, Wei Fu, Sunghun Kim, Tim Menzies and DongGyun Han and has published in prestigious journals such as IEEE Transactions on Software Engineering, Information and Software Technology and Journal of Information Processing Systems.

In The Last Decade

Jaechang Nam

17 papers receiving 1.6k citations

Hit Papers

Transfer defect learning 2013 2026 2017 2021 2013 2013 2018 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Transfer defect learning
    2013 346 citations Jaechang Nam, Sinno Jialin Pan et al. 2013 35th International Conference on Software Engineering (ICSE) profile →
  2. Automatic patch generation learned from human-written patches
    2013 297 citations Dongsun Kim, Jaechang Nam et al. 2013 35th International Conference on Software Engineering (ICSE) profile →
  3. Deep Semantic Feature Learning for Software Defect Prediction
    2018 218 citations Song Wang, Jaechang Nam et al. IEEE Transactions on Software Engineering profile →
  4. Heterogeneous Defect Prediction
    2017 203 citations Jaechang Nam, Wei Fu et al. IEEE Transactions on Software Engineering profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaechang Nam South Korea 12 1.4k 1.3k 488 257 127 18 1.6k
Shi Ying China 16 702 0.5× 576 0.4× 404 0.8× 293 1.1× 57 0.4× 56 941
Michael W. Whalen United States 19 534 0.4× 973 0.8× 193 0.4× 338 1.3× 58 0.5× 91 1.4k
Ram Chillarege United States 17 927 0.7× 1.0k 0.8× 639 1.3× 264 1.0× 65 0.5× 43 1.5k
Fabrizio Pastore Luxembourg 15 613 0.4× 610 0.5× 296 0.6× 234 0.9× 108 0.9× 65 961
Junyan Qian China 12 341 0.2× 276 0.2× 204 0.4× 169 0.7× 32 0.3× 67 565
Van-Thuan Pham Australia 9 513 0.4× 1.1k 0.8× 190 0.4× 355 1.4× 759 6.0× 19 1.4k
Olivier Barais France 13 541 0.4× 288 0.2× 337 0.7× 560 2.2× 47 0.4× 74 858
Brice Morin Norway 15 595 0.4× 196 0.2× 603 1.2× 510 2.0× 41 0.3× 43 960
Federico Ciccozzi Sweden 15 320 0.2× 415 0.3× 240 0.5× 364 1.4× 10 0.1× 90 802
Naeem Esfahani United States 13 432 0.3× 291 0.2× 440 0.9× 445 1.7× 218 1.7× 24 770

Countries citing papers authored by Jaechang Nam

Since Specialization
Citations

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

Fields of papers citing papers by Jaechang Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaechang Nam

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

All Works

18 of 18 papers shown
1.
Nam, Jaechang, et al.. (2023). An Empirical Study on the Stability of Explainable Software Defect Prediction. 141–150. 2 indexed citations
2.
Nam, Jaechang, et al.. (2022). On the Naturalness of Bytecode Instructions. 1–5.
3.
Nam, Jaechang, et al.. (2022). WINE: Warning miner for improving bug finders. Information and Software Technology. 155. 107109–107109. 1 indexed citations
4.
Nam, Jaechang, et al.. (2021). A Survey of Automatic Code Generation from Natural Language. Journal of Information Processing Systems. 17(3). 537–555. 19 indexed citations
5.
Wang, Song, Junjie Wang, Jaechang Nam, & Nachiappan Nagappan. (2021). Continuous Software Bug Prediction. 1–12. 12 indexed citations
6.
Nam, Jaechang, et al.. (2019). A bug finder refined by a large set of open-source projects. Information and Software Technology. 112. 164–175. 7 indexed citations
7.
Nam, Jaechang, et al.. (2018). Designing bug detection rules for fewer false alarms. 315–316. 2 indexed citations
8.
Wang, Song, et al.. (2018). Deep Semantic Feature Learning for Software Defect Prediction. IEEE Transactions on Software Engineering. 46(12). 1267–1293. 218 indexed citations breakdown →
9.
Nam, Jaechang, Wei Fu, Sunghun Kim, Tim Menzies, & Lin Tan. (2017). Heterogeneous Defect Prediction. IEEE Transactions on Software Engineering. 44(9). 874–896. 203 indexed citations breakdown →
10.
Wang, Song, Jaechang Nam, & Lin Tan. (2017). QTEP: quality-aware test case prioritization. 523–534. 47 indexed citations
11.
Lee, Taek, Jaechang Nam, DongGyun Han, Sunghun Kim, & Hoh Peter In. (2016). Developer Micro Interaction Metrics for Software Defect Prediction. IEEE Transactions on Software Engineering. 42(11). 1015–1035. 50 indexed citations
12.
Nam, Jaechang & Sunghun Kim. (2015). Heterogeneous defect prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 508–519. 127 indexed citations
13.
Kim, Mijung, et al.. (2015). REMI: defect prediction for efficient API testing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 990–993. 25 indexed citations
14.
Nam, Jaechang & Sunghun Kim. (2015). CLAMI: Defect Prediction on Unlabeled Datasets (T). Rare & Special e-Zone (The Hong Kong University of Science and Technology). 452–463. 145 indexed citations
15.
Kim, Dongsun, Jaechang Nam, Jaewoo Song, & Sunghun Kim. (2013). Automatic patch generation learned from human-written patches. 2013 35th International Conference on Software Engineering (ICSE). 802–811. 297 indexed citations breakdown →
16.
Nam, Jaechang, Sinno Jialin Pan, & Sunghun Kim. (2013). Transfer defect learning. 2013 35th International Conference on Software Engineering (ICSE). 382–391. 346 indexed citations breakdown →
17.
Nam, Jaechang, David Schüler, & Andreas Zeller. (2011). Calibrated Mutation Testing. 11. 376–381. 2 indexed citations
18.
Lee, Taek, Jaechang Nam, DongGyun Han, Sunghun Kim, & Hoh Peter In. (2011). Micro interaction metrics for defect prediction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 311–321. 112 indexed citations

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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