Taeho Hur

854 total citations · 1 hit paper
16 papers, 675 citations indexed

About

Taeho Hur is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Taeho Hur has authored 16 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Artificial Intelligence. Recurrent topics in Taeho Hur's work include Context-Aware Activity Recognition Systems (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Emotion and Mood Recognition (2 papers). Taeho Hur is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Emotion and Mood Recognition (2 papers). Taeho Hur collaborates with scholars based in South Korea, Australia and Spain. Taeho Hur's co-authors include Jaehun Bang, Wajahat Ali Khan, Thien Huynh‐The, Muhammad Bilal Amin, Sungyoung Lee, Oresti Baños, Claudia Villalonga, Muhammad Asif Razzaq, Donguk Kang and Choong Seon Hong and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Taeho Hur

14 papers receiving 652 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.

Human Behavior Analysis by Means of Multimodal Context Mining

2016 388 citations Oresti Baños, Claudia Villalonga et al. Sensors profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taeho Hur South Korea	10	190	129	110	106	90	16	675
Muhammad Asif Razzaq South Korea	10	126 0.7×	143 1.1×	106 1.0×	132 1.2×	126 1.4×	24	704
Jaehun Bang South Korea	16	317 1.7×	143 1.1×	138 1.3×	217 2.0×	133 1.5×	30	1.0k
P. Prabu India	17	173 0.9×	83 0.6×	77 0.7×	159 1.5×	123 1.4×	46	686
Matthias Budde Germany	14	170 0.9×	117 0.9×	206 1.9×	52 0.5×	75 0.8×	60	884
Yang Jiang China	15	130 0.7×	64 0.5×	76 0.7×	160 1.5×	43 0.5×	55	629
Peter Sinčák Slovakia	13	147 0.8×	90 0.7×	47 0.4×	227 2.1×	91 1.0×	73	784
Md. Rabiul Islam Bangladesh	16	217 1.1×	132 1.0×	155 1.4×	259 2.4×	37 0.4×	47	1.2k
Junqi Guo China	15	207 1.1×	81 0.6×	68 0.6×	143 1.3×	76 0.8×	51	755
Roberto Prevete Italy	16	125 0.7×	108 0.8×	119 1.1×	403 3.8×	52 0.6×	63	1.1k

Countries citing papers authored by Taeho Hur

Since Specialization

Citations

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

Fields of papers citing papers by Taeho Hur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeho Hur

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

16 of 16 papers shown

Yoon, Minjae, Taeho Hur, Sang‐Ho Jo, et al.. (2025). Self-Monitoring of Blood Pressure and Feedback via Mobile App in Treatment of Uncontrolled Hypertension: The SMART-BP Randomized Clinical Trial. Mayo Clinic Proceedings. 100(5). 840–853. 1 indexed citations

Jeon, Ki‐Hyun, Taeho Hur, Minjae Yoon, et al.. (2025). Novel Approach to Acute Heart Failure Risk Stratification Using AI-Derived Congestion Index from Chest Radiographs and Clinical Parameter. Studies in health technology and informatics. 329. 1888–1889.

Yoon, Minjae, Ji Hyun Lee, In‐Cheol Kim, et al.. (2024). Smartphone App for Improving Self-Awareness of Adherence to Edoxaban Treatment in Patients With Atrial Fibrillation (ADHERE-App Trial): Randomized Controlled Trial. Journal of Medical Internet Research. 26. e65010–e65010. 4 indexed citations

Yoon, Minjae, Jin Joo Park, Taeho Hur, et al.. (2023). Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future. PubMed. 6(1). 11–11. 16 indexed citations

Hussain, Jamil, Muhammad Afzal, Wajahat Ali Khan, et al.. (2019). Exploring the dominant features of social media for depression detection. Journal of Information Science. 46(6). 739–759. 46 indexed citations

Ali, Maqbool, Taeho Hur, Jaehun Bang, et al.. (2018). uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features. PLoS ONE. 13(8). e0202705–e0202705. 17 indexed citations

Hussain, Jamil, Wajahat Ali Khan, Taeho Hur, et al.. (2018). A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation. Sensors. 18(5). 1622–1622. 36 indexed citations

Huynh‐The, Thien, Cam-Hao Hua, Nguyen Anh Tu, et al.. (2018). Hierarchical topic modeling with pose-transition feature for action recognition using 3D skeleton data. Information Sciences. 444. 20–35. 36 indexed citations

Ali, Maqbool, Rahman Ali, Wajahat Ali Khan, et al.. (2018). A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules. IEEE Access. 6. 15587–15607. 22 indexed citations

10.

Ali, Taqdir, Maqbool Hussain, Muhammad Afzal, et al.. (2018). Clinically Harmonized Wellness Concepts Model for Health and Wellness Services. IEEE Access. 6. 26660–26674. 4 indexed citations

11.

Huynh‐The, Thien, Cam-Hao Hua, Nguyen Anh Tu, et al.. (2017). Selective bit embedding scheme for robust blind color image watermarking. Information Sciences. 426. 1–18. 65 indexed citations

12.

Razzaq, Muhammad Asif, Claudia Villalonga, Sungyoung Lee, et al.. (2017). mlCAF: Multi-Level Cross-Domain Semantic Context Fusioning for Behavior Identification. Sensors. 17(10). 2433–2433. 9 indexed citations

13.

Hur, Taeho, et al.. (2017). Smartphone Location-Independent Physical Activity Recognition Based on Transportation Natural Vibration Analysis. Sensors. 17(4). 931–931. 18 indexed citations

14.

Hur, Taeho, et al.. (2017). Accurate Step-Count Detection based on Recognition of Smartphone Hold Position. Journal of KIISE. 44(4). 374–382. 1 indexed citations

15.

Baños, Oresti, Claudia Villalonga, Jaehun Bang, et al.. (2016). Human Behavior Analysis by Means of Multimodal Context Mining. Sensors. 16(8). 1264–1264. 388 indexed citations breakdown →

16.

Baños, Oresti, Jaehun Bang, Taeho Hur, et al.. (2015). Mining human behavior for health promotion. PubMed. 2015. 5062–5. 12 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.

Explore authors with similar magnitude of impact