Ekapol Chuangsuwanich

1.1k total citations
58 papers, 616 citations indexed

About

Ekapol Chuangsuwanich is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ekapol Chuangsuwanich has authored 58 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Ekapol Chuangsuwanich's work include Natural Language Processing Techniques (26 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (18 papers). Ekapol Chuangsuwanich is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (23 papers) and Speech Recognition and Synthesis (18 papers). Ekapol Chuangsuwanich collaborates with scholars based in Thailand, United States and United Kingdom. Ekapol Chuangsuwanich's co-authors include James Glass, Sira Sriswasdi, Yu Zhang, Natapol Pornputtapong, Douglas A. Reynolds, Najim Dehak, Nannapas Banluesombatkul, Sombat Ketrat, Stephen Shum and Theerawit Wilaiprasitporn and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Access.

In The Last Decade

Ekapol Chuangsuwanich

49 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ekapol Chuangsuwanich Thailand 13 309 166 110 73 73 58 616
Hairong Lv China 19 263 0.9× 58 0.3× 273 2.5× 123 1.7× 26 0.4× 62 891
Marc‐André Carbonneau Canada 9 374 1.2× 108 0.7× 43 0.4× 102 1.4× 30 0.4× 18 715
Jia-Lin Shen Taiwan 12 212 0.7× 208 1.3× 114 1.0× 17 0.2× 17 0.2× 39 523
Jingyuan Zhang China 16 523 1.7× 16 0.1× 77 0.7× 60 0.8× 47 0.6× 81 928
Haibin Shen China 14 102 0.3× 71 0.4× 43 0.4× 11 0.2× 144 2.0× 82 676
Maria Frucci Italy 16 193 0.6× 68 0.4× 45 0.4× 159 2.2× 26 0.4× 40 574
Lei Cui China 19 448 1.4× 44 0.3× 74 0.7× 207 2.8× 27 0.4× 42 1.0k
Pengcheng Shen China 10 165 0.5× 255 1.5× 26 0.2× 48 0.7× 7 0.1× 29 712
Fazly Salleh Abas Malaysia 12 88 0.3× 28 0.2× 51 0.5× 48 0.7× 17 0.2× 50 403

Countries citing papers authored by Ekapol Chuangsuwanich

Since Specialization
Citations

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

Fields of papers citing papers by Ekapol Chuangsuwanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekapol Chuangsuwanich

This figure shows the co-authorship network connecting the top 25 collaborators of Ekapol Chuangsuwanich. A scholar is included among the top collaborators of Ekapol Chuangsuwanich 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 Ekapol Chuangsuwanich. Ekapol Chuangsuwanich 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.
Watanabe, Shinji, et al.. (2025). Explainable Depression Detection using Masked Hard Instance Mining. 474–478.
2.
Chuangsuwanich, Ekapol, et al.. (2024). Space Decomposition for Sentence Embedding. 11227–11239. 1 indexed citations
3.
4.
Chuangsuwanich, Ekapol, et al.. (2024). MrRank: Improving Question Answering Retrieval System through Multi-Result Ranking Model. 4750–4762. 1 indexed citations
5.
Rutherford, Attapol, et al.. (2024). Learning Job Title Representation from Job Description Aggregation Network. 1319–1329.
6.
Chuangsuwanich, Ekapol, et al.. (2023). Crowdsourced Data Validation for ASR Training. 551–555. 1 indexed citations
7.
Chuangsuwanich, Ekapol, et al.. (2023). Typo-Robust Representation Learning for Dense Retrieval. 1106–1115. 3 indexed citations
8.
Sriswasdi, Sira, et al.. (2023). MHCSeqNet2—improved peptide-class I MHC binding prediction for alleles with low data. Bioinformatics. 40(1). 4 indexed citations
9.
Tao, Qingyi, et al.. (2023). Label-free tumor cells classification using deep learning and high-content imaging. Scientific Data. 10(1). 570–570. 16 indexed citations
10.
Chuangsuwanich, Ekapol, et al.. (2023). Thai-Dialect: Low Resource Thai Dialectal Speech to Text Corpora. 1–8. 1 indexed citations
11.
Punyabukkana, Proadpran, et al.. (2022). Adaptive Image Preprocessing and Augmentation for Tuberculosis Screening on Out-of-Domain Chest X-Ray Dataset. IEEE Access. 10. 132144–132152. 8 indexed citations
12.
Shuangshoti, Shanop, et al.. (2022). ReCasNet: Improving consistency within the two-stage mitosis detection framework. Artificial Intelligence in Medicine. 135. 102462–102462. 14 indexed citations
13.
Chuangsuwanich, Ekapol, et al.. (2022). ConGen: Unsupervised Control and Generalization Distillation For Sentence Representation. 6467–6480. 2 indexed citations
14.
Chuangsuwanich, Ekapol, et al.. (2021). A Real Estate Valuation Model Using Boosted Feature Selection. IEEE Access. 9. 86938–86953. 3 indexed citations
15.
Janjai, Serm, et al.. (2021). Accurate surface ultraviolet radiation forecasting for clinical applications with deep neural network. Scientific Reports. 11(1). 5031–5031. 4 indexed citations
16.
Sarwar, Raheem, et al.. (2020). $CAG$ : Stylometric Authorship Attribution of Multi-Author Documents Using a Co-Authorship Graph. IEEE Access. 8. 18374–18393. 15 indexed citations
17.
Sarwar, Raheem, et al.. (2020). Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble. 3841–3847. 10 indexed citations
18.
Chuangsuwanich, Ekapol, et al.. (2020). Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. ACM Transactions on Asian and Low-Resource Language Information Processing. 2 indexed citations
19.
Banluesombatkul, Nannapas, et al.. (2019). Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder. IEEE Access. 7. 68415–68428. 72 indexed citations
20.
Suchato, Atiwong, et al.. (2018). Algorithmic Music Composition Comparison. 1–6. 6 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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