Daesik Jang

43 total papers · 724 total citations
19 papers, 432 citations indexed

About

Daesik Jang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Daesik Jang has authored 19 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Daesik Jang's work include Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Daesik Jang is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Advanced Vision and Imaging (7 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Daesik Jang collaborates with scholars based in South Korea, Canada and United States. Daesik Jang's co-authors include Hyung–Il Choi, Shekoofeh Azizi, Qiang Tang, Zili Yi, Zhan Xu, Gye-Young Kim, Youngjoong Ko, Sukhan Lee, JungHyun Han and Eun Young Kim and has published in prestigious journals such as IEEE Access, Pattern Recognition and International Journal of Intelligent Systems.

In The Last Decade

Daesik Jang

19 papers receiving 408 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daesik Jang 367 69 60 35 22 19 432
Zhentao Tan 330 0.9× 59 0.9× 66 1.1× 47 1.3× 43 2.0× 24 460
G. Scott 370 1.0× 76 1.1× 105 1.8× 27 0.8× 30 1.4× 13 478
Alessio Tonioni 281 0.8× 81 1.2× 40 0.7× 28 0.8× 65 3.0× 18 387
Erhan Gündoğdu 338 0.9× 43 0.6× 120 2.0× 43 1.2× 24 1.1× 23 422
Alain Crouzil 316 0.9× 68 1.0× 47 0.8× 54 1.5× 32 1.5× 27 376
Yitong Li 253 0.7× 92 1.3× 34 0.6× 16 0.5× 9 0.4× 25 373
Weize Quan 305 0.8× 41 0.6× 29 0.5× 28 0.8× 29 1.3× 22 379
Jane Mulligan 302 0.8× 31 0.4× 86 1.4× 23 0.7× 69 3.1× 19 373
Fangyin Wei 215 0.6× 62 0.9× 50 0.8× 23 0.7× 18 0.8× 11 380
Aditya Deshpande 247 0.7× 46 0.7× 23 0.4× 25 0.7× 37 1.7× 18 408

Countries citing papers authored by Daesik Jang

Since Specialization
Citations

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

Fields of papers citing papers by Daesik Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daesik Jang

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

All Works

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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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