Heeseung Choi

2.0k total citations
72 papers, 1.2k citations indexed

About

Heeseung Choi is a scholar working on Clinical Psychology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Heeseung Choi has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Clinical Psychology, 24 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Heeseung Choi's work include Biometric Identification and Security (14 papers), Child and Adolescent Psychosocial and Emotional Development (13 papers) and Forensic Fingerprint Detection Methods (10 papers). Heeseung Choi is often cited by papers focused on Biometric Identification and Security (14 papers), Child and Adolescent Psychosocial and Emotional Development (13 papers) and Forensic Fingerprint Detection Methods (10 papers). Heeseung Choi collaborates with scholars based in South Korea, United States and India. Heeseung Choi's co-authors include Jaihie Kim, Ig-Jae Kim, Kyoungtaek Choi, Janet C. Meininger, Robert E. Roberts, Debi Prosad Dogra, Barbara L. Dancy, Chang Gi Park, Anil K. Jain and Hyunki Lim and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Heeseung Choi

70 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heeseung Choi South Korea	22	398	382	318	157	152	72	1.2k
Hui Tang China	26	316 0.8×	138 0.4×	105 0.3×	127 0.8×	7 0.0×	164	2.0k
Manfred Huber United States	20	219 0.6×	63 0.2×	125 0.4×	64 0.4×	25 0.2×	110	1.5k
Xuhai Xu United States	20	173 0.4×	76 0.2×	46 0.1×	68 0.4×	18 0.1×	67	1.1k
Edison Thomaz United States	20	472 1.2×	117 0.3×	120 0.4×	93 0.6×	7 0.0×	56	1.4k
Lynne Baillie United Kingdom	20	220 0.6×	53 0.1×	42 0.1×	162 1.0×	16 0.1×	104	1.1k
Minoru Kobayashi Japan	14	352 0.9×	56 0.1×	27 0.1×	136 0.9×	21 0.1×	74	1.4k
Mark Whiting United States	18	217 0.5×	36 0.1×	150 0.5×	84 0.5×	13 0.1×	66	1.3k
Afsaneh Doryab United States	19	270 0.7×	41 0.1×	122 0.4×	174 1.1×	7 0.0×	50	1.4k
Gaurav Mathur United States	18	75 0.2×	56 0.1×	66 0.2×	75 0.5×	16 0.1×	48	1.2k
Verónica Pérez‐Rosas United States	21	90 0.2×	159 0.4×	147 0.5×	285 1.8×	12 0.1×	49	1.4k

Countries citing papers authored by Heeseung Choi

Since Specialization

Citations

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

Fields of papers citing papers by Heeseung Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heeseung Choi

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

Shahmoradi, Behzad, et al.. (2024). Application of the theory of planned behavior to model the intention and behavior of tomato growers in pesticide exposure. Heliyon. 10(15). e35794–e35794. 4 indexed citations

Cho, Suhwan, et al.. (2024). Dual Prototype Attention for Unsupervised Video Object Segmentation. 19238–19247. 7 indexed citations

Dogra, Debi Prosad, et al.. (2023). RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. Pattern Recognition. 140. 109567–109567. 15 indexed citations

Dogra, Debi Prosad, et al.. (2022). Person re-identification in indoor videos by information fusion using Graph Convolutional Networks. Expert Systems with Applications. 210. 118363–118363. 12 indexed citations

Dogra, Debi Prosad, et al.. (2022). Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. IEEE Transactions on Intelligent Transportation Systems. 1–10. 15 indexed citations

Sharma, Nitin, et al.. (2022). A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection. Expert Systems with Applications. 201. 117030–117030. 32 indexed citations

Dogra, Debi Prosad, et al.. (2022). Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20601–20613. 6 indexed citations

Choi, Heeseung, et al.. (2020). POP: A Generic Framework for Real-Time Pose Estimation of Planar Objects. IEEE Access. 8. 164065–164076. 1 indexed citations

Choi, Sung‐Eun, et al.. (2020). Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization. Sensors. 20(9). 2578–2578. 1 indexed citations

10.

Lim, Hyunki, et al.. (2020). Memetic algorithm for multivariate time-series segmentation. Pattern Recognition Letters. 138. 60–67. 10 indexed citations

11.

Sekh, Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, et al.. (2019). Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3457–3468. 29 indexed citations

12.

Choi, Heeseung, et al.. (2018). Clinical application of 3D technology for tooth autotransplantation: A case report. Australian Endodontic Journal. 45(1). 122–128. 10 indexed citations

13.

Choi, Heeseung, et al.. (2016). Smart advisor: Real-time information provider with mobile augmented reality. 97–98. 3 indexed citations

14.

Choi, Heeseung, Hanjong Park, Marie L. Suarez, et al.. (2016). Feasibility of a web-based suicide awareness programme for Asian American college students. BMJ Open. 6(12). e013466–e013466. 3 indexed citations

15.

Choi, Heeseung, et al.. (2015). Reliability and Validity of a Korean Version of the Cultural Awareness Scale (K-CAS). Korean Journal of Adult Nursing. 27(4). 472–472. 3 indexed citations

16.

Choi, Heeseung, et al.. (2012). Reflections on National Studies on the Use of Augmentative and Alternative Communication to Improve Communication Skills of Students with Disabilities. 5(2). 43–57.

17.

Choi, Heeseung, et al.. (2012). Raising children in America: Korean parents' experiences. Journal of Psychiatric and Mental Health Nursing. 20(6). 508–513. 12 indexed citations

18.

Choi, Heeseung, et al.. (2012). Automatic segmentation of latent fingerprints. Acervo Digital da Universidade Estadual Paulista (Universidade Estadual Paulista). 303–310. 55 indexed citations

19.

Shin, Sung Hee, et al.. (2010). Comparing adolescents’ adjustment and family resilience in divorced families depending on the types of primary caregiver. Journal of Clinical Nursing. 19(11-12). 1695–1706. 28 indexed citations

20.

Choi, Kyoungtaek, et al.. (2008). A novel touchless fingerprint acquisition device for 5 fingerprints. ICEIC : International Conference on Electronics, Informations and Communications. 77–80. 2 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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