Gi-Tae Han

612 total citations · 1 hit paper
11 papers, 361 citations indexed

About

Gi-Tae Han is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Gi-Tae Han has authored 11 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Environmental Engineering. Recurrent topics in Gi-Tae Han's work include Non-Invasive Vital Sign Monitoring (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gi-Tae Han is often cited by papers focused on Non-Invasive Vital Sign Monitoring (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Gi-Tae Han collaborates with scholars based in South Korea and India. Gi-Tae Han's co-authors include Zong Woo Geem, Ram Sarkar, Rohit Kundu, Seong-Hoon Kim, Arpan Basu and Jin‐Woo Hong and has published in prestigious journals such as PLoS ONE, Sensors and Swarm and Evolutionary Computation.

In The Last Decade

Gi-Tae Han

8 papers receiving 345 citations

Hit Papers

align trajectories

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.

Pneumonia detection in chest X-ray images using an ensemble of deep learning models

2021 199 citations Rohit Kundu, Zong Woo Geem et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gi-Tae Han South Korea	7	204	150	70	60	55	11	361
Suane Pires P. da Silva Brazil	7	150 0.7×	91 0.6×	71 1.0×	72 1.2×	48 0.9×	11	336
Adeel Abbasi Pakistan	8	166 0.8×	211 1.4×	71 1.0×	105 1.8×	64 1.2×	16	395
Mohammad Belayet Hossain Australia	8	171 0.8×	140 0.9×	28 0.4×	57 0.9×	30 0.5×	15	372
Mustafa Elattar Egypt	10	148 0.7×	117 0.8×	50 0.7×	118 2.0×	56 1.0×	34	449
Kh Tohidul Islam Australia	12	151 0.7×	98 0.7×	21 0.3×	175 2.9×	46 0.8×	22	427
Grace Ugochi Nneji China	14	263 1.3×	236 1.6×	44 0.6×	118 2.0×	24 0.4×	45	477
Tati L. R. Mengko Indonesia	12	103 0.5×	67 0.4×	67 1.0×	147 2.5×	70 1.3×	64	386
Pawan Kumar Mall India	7	117 0.6×	110 0.7×	16 0.2×	83 1.4×	40 0.7×	13	292
Bunil Kumar Balabantaray India	9	87 0.4×	124 0.8×	17 0.2×	116 1.9×	29 0.5×	50	297
Antônio Carlos da Silva Barros Brazil	7	172 0.8×	92 0.6×	81 1.2×	124 2.1×	53 1.0×	12	346

Countries citing papers authored by Gi-Tae Han

Since Specialization

Citations

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

Fields of papers citing papers by Gi-Tae Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi-Tae Han. 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 Gi-Tae Han. The network helps show where Gi-Tae Han may publish in the future.

Co-authorship network of co-authors of Gi-Tae Han

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Hong, Jin‐Woo, Seong-Hoon Kim, & Gi-Tae Han. (2023). Detection of Multiple Respiration Patterns Based on 1D SNN from Continuous Human Breathing Signals and the Range Classification Method for Each Respiration Pattern. Sensors. 23(11). 5275–5275. 11 indexed citations

2.

Kundu, Rohit, et al.. (2021). Pneumonia detection in chest X-ray images using an ensemble of deep learning models. PLoS ONE. 16(9). e0256630–e0256630. 199 indexed citations breakdown →

3.

Basu, Arpan, et al.. (2021). Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach. Diagnostics. 11(5). 895–895. 37 indexed citations

4.

Kim, Seong-Hoon, Zong Woo Geem, & Gi-Tae Han. (2020). Hyperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System. Sensors. 20(13). 3697–3697. 24 indexed citations

5.

Kim, Seong-Hoon & Gi-Tae Han. (2019). 1D CNN Based Human Respiration Pattern Recognition using Ultra Wideband Radar. 411–414. 27 indexed citations

6.

Kim, Seong-Hoon, Zong Woo Geem, & Gi-Tae Han. (2019). A Novel Human Respiration Pattern Recognition Using Signals of Ultra-Wideband Radar Sensor. Sensors. 19(15). 3340–3340. 19 indexed citations

7.

Geem, Zong Woo, et al.. (2018). Vanishing point detection for self-driving car using harmony search algorithm. Swarm and Evolutionary Computation. 41. 111–119. 40 indexed citations

8.

Kim, Seong-Hoon & Gi-Tae Han. (2013). An Enhanced Method for Detecting Iris from Smartphone Images in Real-Time. KIPS Transactions on Software and Data Engineering. 2(9). 643–650.

9.

Han, Gi-Tae, et al.. (2013). A Robust Real-Time Lane Detection for Sloping Roads. KIPS Transactions on Software and Data Engineering. 2(6). 413–422. 4 indexed citations

10.

Han, Gi-Tae. (2010). Automatic Method for Extracting Homogeneity Threshold and Segmenting Homogeneous Regions in Image. The KIPS Transactions PartB. 17B(5). 363–374.

11.

Han, Gi-Tae, et al.. (2008). A Direction Computation and Media Retrieval Method of Moving Object using Weighted Vector Sum. The KIPS Transactions PartD. 15D(3). 399–410.

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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