Nontawat Charoenphakdee

668 total citations
7 papers, 56 citations indexed

About

Nontawat Charoenphakdee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Nontawat Charoenphakdee has authored 7 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cancer Research. Recurrent topics in Nontawat Charoenphakdee's work include Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Machine Learning and Algorithms (3 papers). Nontawat Charoenphakdee is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Machine Learning and Data Classification (4 papers) and Machine Learning and Algorithms (3 papers). Nontawat Charoenphakdee collaborates with scholars based in Japan, South Korea and Thailand. Nontawat Charoenphakdee's co-authors include Masashi Sugiyama, Junya Honda, Issei Sato and Jayakorn Vongkulbhisal and has published in prestigious journals such as arXiv (Cornell University), International Conference on Machine Learning and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Nontawat Charoenphakdee

7 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nontawat Charoenphakdee Japan	4	47	30	6	4	3	7	56
Sahand Sharifzadeh Germany	6	39 0.8×	51 1.7×	3 0.5×	2 0.5×	2 0.7×	11	83
Emilie Morvant France	6	55 1.2×	18 0.6×	3 0.5×		3 1.0×	10	69
Shiv Shankar India	4	59 1.3×	48 1.6×	4 0.7×		2 0.7×	7	80
Minseop Park United Kingdom	3	38 0.8×	26 0.9×	4 0.7×	1 0.3×	1 0.3×	3	43
Francesco Visin United Kingdom	4	70 1.5×	49 1.6×	5 0.8×			4	87
Renrui Zhang China	3	56 1.2×	57 1.9×	2 0.3×	4 1.0×	2 0.7×	5	95
Mandela Patrick United Kingdom	4	52 1.1×	66 2.2×	4 0.7×	2 0.5×	1 0.3×	5	84
Ching-Yao Chuang United States	3	44 0.9×	31 1.0×	1 0.2×	2 0.5×	2 0.7×	4	54
Zikang Liu China	3	56 1.2×	61 2.0×		2 0.5×	3 1.0×	11	105
Wangding Zeng China	3	21 0.4×	22 0.7×		4 1.0×	5 1.7×	3	73

Countries citing papers authored by Nontawat Charoenphakdee

Since Specialization

Citations

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

Fields of papers citing papers by Nontawat Charoenphakdee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nontawat Charoenphakdee

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

All Works

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7 of 7 papers shown

1.

Charoenphakdee, Nontawat, et al.. (2021). Classification with Rejection Based on Cost-sensitive Classification. International Conference on Machine Learning. 1507–1517. 4 indexed citations

2.

Charoenphakdee, Nontawat, et al.. (2021). On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective. 5198–5207. 10 indexed citations

3.

Charoenphakdee, Nontawat, et al.. (2019). Learning Only from Relevant Keywords and Unlabeled Documents. 3991–4000. 2 indexed citations

4.

Charoenphakdee, Nontawat, et al.. (2019). On Symmetric Losses for Learning from Corrupted Labels. International Conference on Machine Learning. 961–970. 6 indexed citations

5.

Charoenphakdee, Nontawat, et al.. (2019). On the Calibration of Multiclass Classification with Rejection. arXiv (Cornell University). 32. 2582–2592. 2 indexed citations

6.

Charoenphakdee, Nontawat, et al.. (2019). Unsupervised Domain Adaptation Based on Source-Guided Discrepancy. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4122–4129. 30 indexed citations

7.

Charoenphakdee, Nontawat, et al.. (2019). On Possibility and Impossibility of Multiclass Classification with Rejection.. 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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