Ickjai Lee

100 papers receiving 1.6k citations

Ickjai Lee's Hit Papers

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images 2020 · 330 citations
3300+2+4Years since publication100200300

Peers

Ickjai Lee
Comparison fields: 5 of 132
  • Transportation 330
  • Signal Processing 437
  • Geography, Planning and Development 176
  • Health Informatics 33
  • Artificial Intelligence 554
Replace Jae-Gil Lee with:
Jae-Gil Lee South Korea
Quanshi Zhang China
Liang Zhao United States
Yin Lou United States
Konstantinos Tserpes Greece
Salvatore Rinzivillo Italy
Jeff M. Phillips United States
Alí­pio Jorge Portugal
Cheng Long Singapore
Louai Alarabi United States
Ickjai Lee relative to Jae-Gil Lee South Korea Jae-Gil Lee's profile →
Citations per field
00.5×2.8×
Jae-Gil Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ickjai Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ickjai Lee Line = papers co-authored together Ickjai Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Hit paper breakdown →
2020330
2 201777
3 201367
4 201766
5 200262
6 202047
7
Data Mining Techniques for Autonomous Exploration of Large Volumes of Geo-referenced Crime Data
200139
8 201738
9 201437
10 201337
11 199435
12 200233
13 201233
14 200032
15 201330
16 201929
17 202126
18 201025
19 201325
20 202423

About Ickjai Lee

Ickjai Lee is a scholar working on Signal Processing, Information Systems, Geography, Planning and Development, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 110 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (56 papers), Geographic Information Systems Studies (29 papers), Data Mining Algorithms and Applications (25 papers), Time Series Analysis and Forecasting (14 papers), Human Mobility and Location-Based Analysis (13 papers), Data Visualization and Analytics (6 papers), Computational Geometry and Mesh Generation (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Transportation (330 citations), Signal Processing (437 citations), Geography, Planning and Development (176 citations), Health Informatics (33 citations) and Artificial Intelligence (554 citations). Ickjai Lee has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kyungmi Lee, Vladimir Estivill‐Castro, Sisi Liu, Tasmi Tamanna, Mohammad Zavid Parvez, Mahmudul Hasan, Anisur Rahman, Peter Phillips, Dongzhi Zhang and Mark Gahegan. Their work appears in journals such as Expert Systems with Applications, Computers Environment and Urban Systems, GeoInformatica, Applied Artificial Intelligence and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.

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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