Hwaran Lee

843 total citations
27 papers, 320 citations indexed

About

Hwaran Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hwaran Lee has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Hwaran Lee's work include Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Speech and Audio Processing (3 papers). Hwaran Lee is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (10 papers) and Speech and Audio Processing (3 papers). Hwaran Lee collaborates with scholars based in South Korea, United States and Canada. Hwaran Lee's co-authors include Soo-Young Lee, Bo-Kyeong Kim, Kang Min Yoo, Jihyeon Roh, John Joon Young Chung, Eytan Adar, Woo Seok Kim, Minsuk Chang, Sang-Hoon Oh and Nadeem Iqbal and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and IEEE Signal Processing Letters.

In The Last Decade

Hwaran Lee

24 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hwaran Lee South Korea 9 136 125 69 54 38 27 320
Valentina Franzoni Italy 12 164 1.2× 87 0.7× 82 1.2× 29 0.5× 20 0.5× 45 370
Soonja Yeom Australia 9 63 0.5× 100 0.8× 54 0.8× 26 0.5× 50 1.3× 38 315
Klaus-Peter Engelbrecht Germany 10 160 1.2× 81 0.6× 31 0.4× 63 1.2× 17 0.4× 32 297
Cigdem Turan Hong Kong 8 111 0.8× 126 1.0× 101 1.5× 11 0.2× 23 0.6× 11 347
Paraskevi Tzouveli Greece 9 91 0.7× 100 0.8× 36 0.5× 48 0.9× 26 0.7× 29 299
Hung‐Hsuan Huang Japan 9 151 1.1× 59 0.5× 40 0.6× 36 0.7× 31 0.8× 62 268
Tera Marie Green Canada 8 118 0.9× 272 2.2× 39 0.6× 45 0.8× 33 0.9× 12 352
Michael Raschke Germany 10 45 0.3× 300 2.4× 38 0.6× 217 4.0× 47 1.2× 23 393
Swadha Gupta India 7 59 0.4× 51 0.4× 81 1.2× 27 0.5× 9 0.2× 17 226
Zuhe Li China 10 243 1.8× 137 1.1× 43 0.6× 12 0.2× 22 0.6× 51 405

Countries citing papers authored by Hwaran Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hwaran Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwaran Lee

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

All Works

20 of 20 papers shown
1.
2.
Lee, Hwaran, et al.. (2025). MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty. 5846–5863. 1 indexed citations
3.
4.
Ahn, Jae‐Woo, T.H. Lee, Jin-Hwa Kim, et al.. (2024). TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. 3291–3325.
5.
Lee, Hwaran, et al.. (2024). Calibrating Large Language Models Using Their Generations Only. 15440–15459. 2 indexed citations
6.
Kim, Jiseon, et al.. (2024). KoBBQ: Korean Bias Benchmark for Question Answering. Transactions of the Association for Computational Linguistics. 12. 507–524. 3 indexed citations
7.
Lee, Jiyoung, et al.. (2024). KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge. 11177–11213. 4 indexed citations
8.
Hong, Seok‐Hee, Jae‐Woo Ahn, Hwaran Lee, et al.. (2024). Who Wrote this Code? Watermarking for Code Generation. 4890–4911. 13 indexed citations
10.
Lee, Deok‐Sun, et al.. (2023). Query-Efficient Black-Box Red Teaming via Bayesian Optimization. 11551–11574. 1 indexed citations
11.
Lee, Hwaran, Seok‐Hee Hong, Joonsuk Park, et al.. (2023). SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. 6692–6712. 1 indexed citations
12.
Lee, Hwanhee, et al.. (2023). Critic-Guided Decoding for Controlled Text Generation. 4598–4612. 4 indexed citations
13.
15.
Hwang, Seung-won, et al.. (2022). Plug-and-Play Adaptation for Continuously-updated QA. Findings of the Association for Computational Linguistics: ACL 2022. 438–447. 3 indexed citations
17.
Lee, Hwaran, et al.. (2021). SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System. IEEE Access. 9. 116133–116146. 5 indexed citations
18.
Lee, Hwaran, et al.. (2018). Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition. IEEE Signal Processing Letters. 26(1). 159–163. 21 indexed citations
19.
Roh, Jihyeon, et al.. (2015). Active Learning for Large-scale Object Classification. 251–254. 1 indexed citations
20.
Kim, Bo-Kyeong, Hwaran Lee, Jihyeon Roh, & Soo-Young Lee. (2015). Hierarchical Committee of Deep CNNs with Exponentially-Weighted Decision Fusion for Static Facial Expression Recognition. 427–434. 81 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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