Seungwoo Choi

585 total citations
18 papers, 366 citations indexed

About

Seungwoo Choi is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Seungwoo Choi has authored 18 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Seungwoo Choi's work include Personal Information Management and User Behavior (3 papers), Recommender Systems and Techniques (3 papers) and Innovative Human-Technology Interaction (3 papers). Seungwoo Choi is often cited by papers focused on Personal Information Management and User Behavior (3 papers), Recommender Systems and Techniques (3 papers) and Innovative Human-Technology Interaction (3 papers). Seungwoo Choi collaborates with scholars based in South Korea, Canada and Hong Kong. Seungwoo Choi's co-authors include Uichin Lee, Minsam Ko, Koji Yatani, Sungjoo Ha, Joonwon Lee, Subin Yang, Dongyoung Kim, Beomsu Kim, Seokjun Seo and Aviv Segev and has published in prestigious journals such as Anaesthesia, ACM Transactions on Computer-Human Interaction and IEEE Transactions on Services Computing.

In The Last Decade

Seungwoo Choi

18 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungwoo Choi South Korea 8 150 137 99 83 73 18 366
Mahdi Nasrullah Al-Ameen United States 12 146 1.0× 38 0.3× 89 0.9× 84 1.0× 67 0.9× 54 408
Amit Elazari Bar On United States 6 167 1.1× 99 0.7× 94 0.9× 28 0.3× 40 0.5× 8 313
Hazim Almuhimedi United States 6 298 2.0× 129 0.9× 129 1.3× 55 0.7× 7 0.1× 8 452
Maryam Mehrnezhad United Kingdom 12 137 0.9× 100 0.7× 86 0.9× 72 0.9× 11 0.2× 33 352
Pardis Emami-Naeini United States 9 262 1.7× 98 0.7× 35 0.4× 88 1.1× 11 0.2× 14 379
Ha‐Kyung Kong United States 10 78 0.5× 95 0.7× 36 0.4× 37 0.4× 11 0.2× 20 343
Leah Zhang-Kennedy Canada 10 150 1.0× 23 0.2× 66 0.7× 68 0.8× 100 1.4× 22 339
Mohammad Tahaei United Kingdom 10 181 1.2× 72 0.5× 56 0.6× 38 0.5× 11 0.2× 18 326
Abraham Mhaidli United States 9 136 0.9× 50 0.4× 15 0.2× 78 0.9× 13 0.2× 11 252
Liam D. Turner United Kingdom 8 124 0.8× 26 0.2× 7 0.1× 33 0.4× 48 0.7× 26 269

Countries citing papers authored by Seungwoo Choi

Since Specialization
Citations

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

Fields of papers citing papers by Seungwoo Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungwoo Choi

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

All Works

18 of 18 papers shown
1.
Choi, Seungwoo, et al.. (2024). Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning. 93–102. 1 indexed citations
2.
3.
Choi, Seungwoo, et al.. (2023). Quixote: Improving Fidelity of Quantum Program by Independent Execution of Controlled Gates. 1–6. 1 indexed citations
4.
Choi, Seungwoo, et al.. (2022). Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience. 300–303. 1 indexed citations
5.
Park, Wonbin, Seungwoo Choi, & Mun Yong Yi. (2020). Extracting Principal Smartness Dimensions of Smart Speakers Using Topic Modeling and Sentiment Analysis. 283–286. 1 indexed citations
6.
Choi, Seungwoo, Seungju Han, Dongyoung Kim, & Sungjoo Ha. (2020). Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding. 2007–2011. 29 indexed citations
7.
Choi, Seungwoo, et al.. (2019). Temporal Convolution for Real-Time Keyword Spotting on Mobile Devices. 3372–3376. 100 indexed citations
8.
Oh, Jaehoon, Sangmook Kim, Se-Young Yun, Seungwoo Choi, & Mun Yong Yi. (2019). A pipelined hybrid recommender system for ranking the items on the display. 1–5. 3 indexed citations
9.
Choi, Seungwoo & Aviv Segev. (2019). Finding Informative Comments for Video Viewing. SN Computer Science. 1(1). 4 indexed citations
10.
Choi, Seungwoo, et al.. (2018). Quality improvement studies – pitfalls of the before and after study design. Anaesthesia. 73(11). 1432–1435. 3 indexed citations
11.
Ko, Minsam, Seungwoo Choi, Joonwon Lee, Uichin Lee, & Aviv Segev. (2016). Understanding Mass Interactions in Online Sports Viewing. ACM Transactions on Computer-Human Interaction. 23(1). 1–27. 11 indexed citations
12.
Choi, Seungwoo, et al.. (2016). LockDoll. 1165–1172. 13 indexed citations
13.
Choi, Seungwoo & Aviv Segev. (2016). Finding informative comments for video viewing. 2. 2457–2465. 7 indexed citations
14.
Ko, Minsam, Seungwoo Choi, Koji Yatani, & Uichin Lee. (2016). Lock n' LoL. 998–1010. 91 indexed citations
15.
Ko, Minsam, Seungwoo Choi, Subin Yang, Joonwon Lee, & Uichin Lee. (2015). FamiLync. 867–878. 77 indexed citations
16.
Ko, Minsam, et al.. (2015). Lock n' LoL. 1561–1566. 8 indexed citations
17.
Ko, Minsam, Seungwoo Choi, Joonwon Lee, et al.. (2014). Motives for mass interactions in online sports viewing. 329–330. 2 indexed citations
18.
Segev, Aviv, et al.. (2014). Analysis of Technology Trends Basedon Diverse Data Sources. IEEE Transactions on Services Computing. 8(6). 903–915. 9 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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