Panupong Pasupat

2.9k total citations
21 papers, 602 citations indexed

About

Panupong Pasupat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Panupong Pasupat has authored 21 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Panupong Pasupat's work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (6 papers). Panupong Pasupat is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (6 papers). Panupong Pasupat collaborates with scholars based in United States, United Kingdom and France. Panupong Pasupat's co-authors include Kelvin Guu, Percy Liang, Jun Liu, Scott Cyphers, Kenton Lee, Ming‐Wei Chang, Jim Glass, Yuan Zhang, Luheng He and Ian McGraw and has published in prestigious journals such as Theory and applications of categories, Data Intelligence and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Panupong Pasupat

21 papers receiving 538 citations

Peers

Panupong Pasupat
Comparison fields: 5 of 57
  • Artificial Intelligence 545
  • Computer Vision and Pattern Recognition 144
  • Information Systems 79
  • Molecular Biology 26
  • Management Science and Operations Research 25
Replace Cícero Nogueira dos Santos with:
Cícero Nogueira dos Santos United States
Leyang Cui China
Kelvin Guu United States
Pradeep Dasigi United States
Lemao Liu China
Libo Qin China
Vishrav Chaudhary United States
Pengjun Xie China
Shyam Upadhyay United States
Xueguang Ma Canada
Cícero Nogueira dos Santos United States View profile →
Citations per field, relative to Panupong Pasupat
Panupong Pasupat · 1×
Citations per year, relative to Panupong Pasupat
Panupong Pasupat · 1×

Countries citing papers authored by Panupong Pasupat

Since Specialization
Citations

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

Fields of papers citing papers by Panupong Pasupat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panupong Pasupat

This figure shows the co-authorship network connecting the top 25 collaborators of Panupong Pasupat. A scholar is included among the top collaborators of Panupong Pasupat 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 Panupong Pasupat. Panupong Pasupat 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
# Work Indexed citations
1 50
2 3
3 15
4 21
5 37
6 12
7 19
8
Retrieval Augmented Language Model Pre-Training
144
9 7
10 18
11 41
12 22
13
Bootstrapped Self Training for Knowledge Base Population.
19
14
Enriching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems
23
15 2
16 25
17 42
18 58
19 25
20 15

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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