Wonik Choi

531 total citations
42 papers, 365 citations indexed

About

Wonik Choi is a scholar working on Signal Processing, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Wonik Choi has authored 42 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 14 papers in Computer Networks and Communications and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Wonik Choi's work include Data Management and Algorithms (14 papers), Graph Theory and Algorithms (5 papers) and Data Mining Algorithms and Applications (5 papers). Wonik Choi is often cited by papers focused on Data Management and Algorithms (14 papers), Graph Theory and Algorithms (5 papers) and Data Mining Algorithms and Applications (5 papers). Wonik Choi collaborates with scholars based in South Korea, United States and United Kingdom. Wonik Choi's co-authors include Ling Liu, Yong‐Soo Baek, Dae‐Hyeok Kim, Sang‐Chul Lee, Young-Jun Jeon, Dongseop Kwon, Bongki Moon, Dongho Lee, Wookey Lee and Min Song and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Wonik Choi

35 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wonik Choi South Korea	10	112	90	87	77	68	42	365
Weida Zhong United States	11	65 0.6×	203 2.3×	37 0.4×	13 0.2×	50 0.7×	20	381
S. Prabu India	9	74 0.7×	77 0.9×	37 0.4×	9 0.1×	85 1.3×	26	322
Mansour Esmaeilpour Iran	9	22 0.2×	171 1.9×	44 0.5×	14 0.2×	100 1.5×	25	373
Romana Talat Pakistan	5	59 0.5×	100 1.1×	13 0.1×	20 0.3×	96 1.4×	10	316
Tamara Živković Serbia	9	46 0.4×	117 1.3×	24 0.3×	9 0.1×	66 1.0×	24	273
D. Vijendra Babu India	12	95 0.8×	89 1.0×	32 0.4×	6 0.1×	92 1.4×	60	380
Anas Quteishat Jordan	11	82 0.7×	199 2.2×	12 0.1×	32 0.4×	20 0.3×	32	398
Muhammad Diyan South Korea	10	105 0.9×	37 0.4×	21 0.2×	9 0.1×	138 2.0×	20	308
Andrés Molina–Markham United States	5	174 1.6×	167 1.9×	44 0.5×	5 0.1×	81 1.2×	8	437
Janne Takalo-Mattila Finland	9	59 0.5×	46 0.5×	6 0.1×	41 0.5×	171 2.5×	15	322

Countries citing papers authored by Wonik Choi

Since Specialization

Citations

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

Fields of papers citing papers by Wonik Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonik Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Wonik Choi. A scholar is included among the top collaborators of Wonik Choi 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 Wonik Choi. Wonik Choi 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:

20 of 20 papers shown

Kim, Dae-Young, Sang‐Won Lee, Dong‐Ho Lee, et al.. (2025). Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction. Frontiers in Cardiovascular Medicine. 12. 1418914–1418914.

Lee, Sang‐Won, Daeyoung Kim, Sung‐Hee Shin, et al.. (2024). Use of artificial intelligence-powered ECG to differentiate between cardiac and pulmonary pathologies in patients with acute dyspnoea in the emergency department. Open Heart. 11(2). e002924–e002924. 1 indexed citations

Baek, Yong‐Soo, Sang‐Chul Lee, Dae‐Hyeok Kim, et al.. (2024). TS-ECG: A Deep Learning Approach for Classification Paroxysmal Atrial Fibrillation During Normal Sinus Rhythm. IEEE Access. 12. 186035–186046. 1 indexed citations

Baek, Yong‐Soo, et al.. (2023). Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes. Frontiers in Cardiovascular Medicine. 10. 1137892–1137892. 19 indexed citations

Baek, Yong‐Soo, et al.. (2023). Artificial intelligence-enhanced electrocardiography for early assessment of coronavirus disease 2019 severity. Scientific Reports. 13(1). 15187–15187. 3 indexed citations

Baek, Yong‐Soo, Soonil Kwon, Seng Chan You, et al.. (2023). Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study. Frontiers in Cardiovascular Medicine. 10. 1258167–1258167. 4 indexed citations

Lee, Sangwon, et al.. (2023). CLS Token Additional Embedding Method Using GASF and CNN for Transformer based Time Series Data Classification Tasks. Journal of KIISE. 50(7). 573–580.

Liu, Ling, et al.. (2022). TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation. IEEE Access. 10. 39119–39128. 19 indexed citations

Baek, Yong‐Soo, Sang‐Chul Lee, Wonik Choi, & Dae‐Hyeok Kim. (2021). A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm. Scientific Reports. 11(1). 12818–12818. 62 indexed citations

10.

Liu, Ling, et al.. (2021). Multi-GPU Efficient Indexing For Maximizing Parallelism of High Dimensional Range Query Services. IEEE Transactions on Services Computing. 15(5). 2910–2924. 5 indexed citations

11.

Liu, Ling, et al.. (2021). Iterative Translation-Based Data Augmentation Method for Text Classification Tasks. IEEE Access. 9. 160437–160445. 5 indexed citations

12.

Choi, Wonik, et al.. (2018). Clustering Algorithm Considering Sensor Node Distribution in Wireless Sensor Networks. Journal of Information Processing Systems. 14(4). 926–940. 5 indexed citations

13.

Choi, Wonik, et al.. (2017). Graph-based Wi-Fi Radio Map Construction and Update Method. Journal of KIISE. 44(6). 643–648.

14.

Choi, Wonik, et al.. (2017). Cloud-Based Positioning Method with Visualized Signal Images. 521. 122–129. 3 indexed citations

15.

Kim, Min Chul & Wonik Choi. (2012). Range Query Method of R-tree for Efficient Parallel Processing on GPU. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 18(5). 409–413.

16.

Wang, Shian, et al.. (2012). Identification of Anti-obesity Constituents from Yukeuigambitang. Korean Journal of Plant Resources. 25(2). 271–276. 2 indexed citations

17.

Choi, Wonik, et al.. (2011). Parallel Range Query Processing on R-Tree with Graphics Processing Unit. 1235–1242. 6 indexed citations

18.

Choi, Wonik, et al.. (2010). A Parallel Bulk Loading Method for $B^+$-Tree Using CUDA. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 16(6). 707–711. 1 indexed citations

19.

Choi, Wonik, et al.. (2009). Pre-cluster HEAD Selection Scheme based on Node Distance in Chain-Based Protocol. Journal of Korea Multimedia Society. 12(9). 1273–1287. 1 indexed citations

20.

Kim, Jae-Hwan, et al.. (2007). A Design and Implementation of Facility Management System Using Portable RFID. Journal of Korea Multimedia Society. 10(4). 492–505. 1 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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