Joonki Hong

801 total citations
24 papers, 576 citations indexed

About

Joonki Hong is a scholar working on Physiology, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Joonki Hong has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Joonki Hong's work include Obstructive Sleep Apnea Research (7 papers), Scheduling and Optimization Algorithms (5 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Joonki Hong is often cited by papers focused on Obstructive Sleep Apnea Research (7 papers), Scheduling and Optimization Algorithms (5 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). Joonki Hong collaborates with scholars based in South Korea and United States. Joonki Hong's co-authors include Yung Yi, Eui–Rim Jeong, Dongheon Lee, Vittaldas V. Prabhu, Naehyuck Chang, Sang-Jun Park, Chang Sup Sung, Jinhwan Jung, Soonil Kwon and Eue‐Keun Choi and has published in prestigious journals such as Applied Energy, SLEEP and Journal of the Operational Research Society.

In The Last Decade

Joonki Hong

22 papers receiving 553 citations

Peers

Joonki Hong

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CCM

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Hisham ElMoaqet Jordan

Mutaz Ryalat Jordan

N. Suthanthira Vanitha India

Hla Myo Tun Myanmar

Arijit Chowdhury India

Victor Shia United States

Fahmid Al Farid Malaysia

Samer Rajab United States

Biswarup Ganguly India

Wuqi Wang China

Hisham ElMoaqet Jordan

Joonki Hong

23 ×0.1

68 ×0.3

EEE

20 ×0.2

CCM

88 ×1.1

IME

88 ×1.1

Citations per year, relative to Joonki Hong Joonki Hong (= 1×) peers Hisham ElMoaqet

Countries citing papers authored by Joonki Hong

Since Specialization

Citations

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

Fields of papers citing papers by Joonki Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joonki Hong

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

All Works

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20 of 20 papers shown

Hong, Joonki, et al.. (2025). Real-Time Snoring Detection Using Deep Learning: A Home-Based Smartphone Approach for Sleep Monitoring. Nature and Science of Sleep. Volume 17. 519–530. 1 indexed citations

Kim, Jeong‐Whun, et al.. (2025). Evaluation of sound-based sleep stage prediction in shared sleeping settings. Sleep Medicine. 132. 106533–106533.

Cho, Younghoon, Kwang Su, Jinhwan Jung, et al.. (2023). Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study. JMIR mhealth and uhealth. 11. e50983–e50983. 43 indexed citations

Yoon, In‐Young, et al.. (2023). Real-Time Detection of Sleep Apnea Based on Breathing Sounds and Prediction Reinforcement Using Home Noises: Algorithm Development and Validation. Journal of Medical Internet Research. 25. e44818–e44818. 14 indexed citations

Rhee, Chae‐Seo, et al.. (2023). In-Home Smartphone-Based Prediction of Obstructive Sleep Apnea in Conjunction With Level 2 Home Polysomnography. JAMA Otolaryngology–Head & Neck Surgery. 150(1). 22–22. 2 indexed citations

Hong, Jung Kyung, Jinhwan Jung, Joonki Hong, et al.. (2023). Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation. Journal of Medical Internet Research. 25. e46216–e46216. 7 indexed citations

Hong, Joonki, Jinhwan Jung, Dongheon Lee, et al.. (2022). End-to-End Sleep Staging Using Nocturnal Sounds from Microphone Chips for Mobile Devices. Nature and Science of Sleep. Volume 14. 1187–1201. 11 indexed citations

Hong, Joonki, et al.. (2022). 0348 Sleep Staging Using End-to-End Deep Learning Model Based on Nocturnal Sound for Smartphones. SLEEP. 45(Supplement_1). A156–A157. 1 indexed citations

Hong, Jung Kyung, et al.. (2021). Confidence-Based Framework Using Deep Learning for Automated Sleep Stage Scoring. Nature and Science of Sleep. Volume 13. 2239–2250. 7 indexed citations

10.

Kwon, Soonil, Joonki Hong, Eue‐Keun Choi, et al.. (2020). Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study. Journal of Medical Internet Research. 22(5). e16443–e16443. 39 indexed citations

11.

Hong, Joonki, Dongheon Lee, Eui–Rim Jeong, & Yung Yi. (2020). Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning. Applied Energy. 278. 115646–115646. 199 indexed citations

12.

Kwon, Soonil, Joonki Hong, Eue‐Keun Choi, et al.. (2019). Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study. JMIR mhealth and uhealth. 7(6). e12770–e12770. 58 indexed citations

13.

Jung, Jinhwan, et al.. (2018). Parameterized slot scheduling for adaptive and autonomous TSCH networks. 76–81. 18 indexed citations

14.

Hong, Joonki & Vittaldas V. Prabhu. (2004). Distributed Reinforcement Learning Control for Batch Sequencing and Sizing in Just-In-Time Manufacturing Systems. Applied Intelligence. 20(1). 71–87. 31 indexed citations

15.

Nam, Juhan, et al.. (2003). AUDIO ANALYSIS AND ADAPTATION WITHIN INTERACTIVE MPEG-21 FRAMEWORK. 294–301. 1 indexed citations

16.

Sung, Chang Sup, et al.. (2002). Minimizing makespan on a single burn-in oven with job families and dynamic job arrivals. Computers & Operations Research. 29(8). 995–1007. 44 indexed citations

17.

Wysk, Richard A., et al.. (2001). . IIE Transactions. 33(3). 193–202. 1 indexed citations

18.

Wysk, Richard A., et al.. (2001). A hybrid shop-floor control system for food manufacturing. IIE Transactions. 33(3). 193–202. 9 indexed citations

19.

Hong, Joonki, et al.. (2001). Real-time batch sequencing using arrival time control algorithm. International Journal of Production Research. 39(17). 3863–3880. 8 indexed citations

20.

Sung, Chang Sup & Joonki Hong. (1999). Branch-and-price algorithm for a multicast routing problem. Journal of the Operational Research Society. 50(11). 1168–1175. 6 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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