Ickjai Lee

2.7k total citations · 1 hit paper
111 papers, 1.7k citations indexed

About

Ickjai Lee is a scholar working on Signal Processing, Information Systems and Geography, Planning and Development. According to data from OpenAlex, Ickjai Lee has authored 111 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Signal Processing, 39 papers in Information Systems and 29 papers in Geography, Planning and Development. Recurrent topics in Ickjai Lee's work include Data Management and Algorithms (56 papers), Geographic Information Systems Studies (29 papers) and Data Mining Algorithms and Applications (25 papers). Ickjai Lee is often cited by papers focused on Data Management and Algorithms (56 papers), Geographic Information Systems Studies (29 papers) and Data Mining Algorithms and Applications (25 papers). Ickjai Lee collaborates with scholars based in Australia, United States and Singapore. Ickjai Lee's co-authors include Kyungmi Lee, Vladimir Estivill‐Castro, Sisi Liu, Anisur Rahman, Mohammad Zavid Parvez, Mahmudul Hasan, Tasmi Tamanna, Peter Phillips, Dongzhi Zhang and Mark Gahegan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Ickjai Lee

100 papers receiving 1.6k citations

Hit Papers

CoroDet: A deep learning based classification for COVID-1... 2020 2026 2022 2024 2020 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. CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
    2020 322 citations Ickjai Lee et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ickjai Lee Australia 22 556 436 345 325 321 111 1.7k
Yin Lou United States 12 1.1k 1.9× 469 1.1× 94 0.3× 315 1.0× 93 0.3× 19 2.2k
Liang Zhao United States 22 988 1.8× 266 0.6× 271 0.8× 226 0.7× 34 0.1× 192 2.0k
Bo Han China 22 2.0k 3.6× 181 0.4× 327 0.9× 178 0.5× 71 0.2× 126 2.8k
Konstantinos Tserpes Greece 22 344 0.6× 171 0.4× 549 1.6× 116 0.4× 80 0.2× 130 1.5k
Alp Kut Türkiye 8 419 0.8× 355 0.8× 138 0.4× 258 0.8× 21 0.1× 35 1.2k
Quanshi Zhang China 20 915 1.6× 125 0.3× 71 0.2× 246 0.8× 102 0.3× 58 1.8k
Shanshan Feng China 20 722 1.3× 156 0.4× 538 1.6× 374 1.2× 19 0.1× 100 1.7k
Matthias Schubert Germany 19 835 1.5× 394 0.9× 214 0.6× 124 0.4× 16 0.0× 106 2.3k
Salvatore Rinzivillo Italy 19 318 0.6× 429 1.0× 79 0.2× 1.0k 3.1× 17 0.1× 51 1.7k
Cheng Long Singapore 24 594 1.1× 616 1.4× 252 0.7× 248 0.8× 10 0.0× 172 1.9k

Countries citing papers authored by Ickjai Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ickjai Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ickjai Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ickjai Lee. A scholar is included among the top collaborators of Ickjai Lee 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 Ickjai Lee. Ickjai Lee 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
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Zhang, Bonan, Lin Li, Chao Chen, et al.. (2025). Standardizing the evaluation framework for ECG-based authentication in IoT devices. Computer Communications. 240. 108201–108201.
5.
Ahn, Euijoon, et al.. (2024). Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring. Expert Systems with Applications. 252. 124220–124220. 20 indexed citations
6.
Lee, Ickjai & Christopher Lupfer. (2024). Lessons Learned From Clinical Trials of Immunotherapeutics for COVID‐19. Immunological Reviews. 329(1). e13422–e13422. 1 indexed citations
7.
Smyth, Wendy, Valli Manickam, Anne Swinbourne, et al.. (2022). Immersive virtual reality in a northern Queensland haemodialysis unit: Study protocol for a cross-over randomized controlled feasibility trial (ACTRN12621000732886). Contemporary Clinical Trials Communications. 28. 100956–100956. 3 indexed citations
8.
Zhang, Dongzhi, Kyungmi Lee, & Ickjai Lee. (2019). Multi-level medical periodic patterns from human movement behaviors. Health Information Science and Systems. 7(1). 9–9. 1 indexed citations
9.
Liu, Sisi & Ickjai Lee. (2019). Extracting features with medical sentiment lexicon and position encoding for drug reviews. Health Information Science and Systems. 7(1). 11–11. 18 indexed citations
10.
Liu, Sisi, et al.. (2016). Sentiment clustering with topic and temporal information from large email dataset. Waseda University Repository (Waseda University). 363–371. 2 indexed citations
11.
Lee, Kyungmi, et al.. (2016). Mining Semantic Sequential Patterns from Geo-Tagged Photos. Hawaii International Conference on System Sciences. 2187–2196. 5 indexed citations
12.
Lee, Ickjai, et al.. (2015). Fast OBJ file importing and parsing in CUDA. Computational Visual Media. 1(3). 229–238. 5 indexed citations
13.
Wang, Ye, Kyungmi Lee, & Ickjai Lee. (2012). Representing ordered order-k Voronoi diagrams. FedUni ResearchOnline (Federation University Australia). 71–75. 1 indexed citations
14.
Lee, Ickjai, et al.. (2011). Collaborative and competitive strategies for agile scrum development. ResearchOnline at James Cook University (James Cook University). 123–127. 8 indexed citations
15.
Yang, Qu, Kyungmi Lee, & Ickjai Lee. (2010). Making sense of clusters through qualitative spatial reasoning. ResearchOnline at James Cook University (James Cook University). 67–72. 2 indexed citations
16.
Yang, Jianhua & Ickjai Lee. (2004). Cluster validity through graph-based boundary analysis. ResearchOnline at James Cook University (James Cook University). 204–210. 7 indexed citations
17.
Lee, Ickjai & Mary‐Anne Williams. (2003). Multi-level clustering and reasoning about its clusters using region connection calculus. Knowledge Discovery and Data Mining. 283–294. 7 indexed citations
18.
Lee, Ickjai. (2003). Fast qualitative reasoning about categories in conceptual spaces. ResearchOnline at James Cook University (James Cook University). 341–350. 5 indexed citations
19.
Estivill‐Castro, Vladimir & Ickjai Lee. (2002). Argument free clustering via boundary extraction for massive point-data Sets. ResearchOnline at James Cook University (James Cook University). 71(7). 1019–36. 8 indexed citations
20.
Auh, Yong Ho, et al.. (1994). In vitro MR imaging of the resected stomach with a 4.7-T superconducting magnet.. Radiology. 191(1). 129–134. 35 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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