Hwidong Na

706 total citations
9 papers, 100 citations indexed

About

Hwidong Na is a scholar working on Artificial Intelligence, Signal Processing and Materials Chemistry. According to data from OpenAlex, Hwidong Na has authored 9 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Materials Chemistry. Recurrent topics in Hwidong Na's work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (3 papers). Hwidong Na is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (3 papers). Hwidong Na collaborates with scholars based in South Korea, India and Canada. Hwidong Na's co-authors include Hoshik Lee, François Grondin, Nauman Dawalatabad, Jenthe Thienpondt, Nam Soo Kim, Brecht Desplanques, Mirco Ravanelli, Jihyun Lee, Jong-Hyeok Lee and Young Sang Choi and has published in prestigious journals such as Chemistry of Materials, arXiv (Cornell University) and Conference of the Association for Machine Translation in the Americas.

In The Last Decade

Hwidong Na

7 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hwidong Na South Korea	3	79	49	17	8	5	9	100
Zhouxing Shi United States	7	106 1.3×	14 0.3×	12 0.7×	10 1.3×	4 0.8×	11	116
Mathias Rossignol France	6	68 0.9×	25 0.5×	22 1.3×	13 1.6×	4 0.8×	10	102
Huyen Nguyen United States	2	102 1.3×	73 1.5×	9 0.5×	4 0.5×	6 1.2×	4	120
Sree Hari Krishnan Parthasarathi Switzerland	9	160 2.0×	148 3.0×	17 1.0×	11 1.4×	9 1.8×	17	190
Xiang Kong United States	6	142 1.8×	15 0.3×	39 2.3×	14 1.8×	6 1.2×	16	162
Tatiana Likhomanenko United States	4	151 1.9×	78 1.6×	24 1.4×	3 0.4×	12 2.4×	11	168
Siddhant Arora United States	10	165 2.1×	40 0.8×	9 0.5×	11 1.4×	4 0.8×	39	185
Pulkit Verma India	5	44 0.6×	24 0.5×	8 0.5×	6 0.8×	4 0.8×	12	67
Wenxin Hou Japan	5	108 1.4×	58 1.2×	11 0.6×	3 0.4×	3 0.6×	8	118
Jian Luan China	7	116 1.5×	118 2.4×	33 1.9×	12 1.5×	6 1.2×	22	169

Countries citing papers authored by Hwidong Na

Since Specialization

Citations

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

Fields of papers citing papers by Hwidong Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hwidong Na

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

9 of 9 papers shown

1.

Kim, Sungjun, Myungsun Sim, Seung‐Yeon Kwak, et al.. (2024). Simulation-Assisted Deep Learning Techniques for Commercially Applicable OLED Phosphorescent Materials. Chemistry of Materials. 37(1). 387–399.

2.

Park, Junghyun, et al.. (2023). String-Based Molecule Generation Via Multi-Decoder VAE. 1–5. 1 indexed citations

3.

Dawalatabad, Nauman, Mirco Ravanelli, François Grondin, et al.. (2021). ECAPA-TDNN Embeddings for Speaker Diarization. arXiv (Cornell University). 3560–3564. 46 indexed citations

4.

Na, Hwidong, et al.. (2020). Adaptive Knowledge Distillation Based on Entropy. 7409–7413. 32 indexed citations

5.

Na, Hwidong, et al.. (2019). Knowledge Distillation Using Output Errors for Self-attention End-to-end Models. 6181–6185. 16 indexed citations

6.

Park, Youngki, et al.. (2016). An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation. Conference of the Association for Machine Translation in the Americas. 53–64. 1 indexed citations

7.

Na, Hwidong & Jong-Hyeok Lee. (2013). A discriminative reordering parser for IWSLT 2013.. 2 indexed citations

8.

Na, Hwidong, et al.. (2011). POSTECH's Statistical Machine Translation Systems for NTCIR-9 PatentMT Task (English-to-Japanese). NTCIR.

9.

Na, Hwidong, et al.. (2009). Improving fluency by reordering target constituents using MST parser in English-to-Japanese phrase-based SMT. 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.

Explore authors with similar magnitude of impact