Điền Đinh

623 total citations
60 papers, 371 citations indexed

About

Điền Đinh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Điền Đinh has authored 60 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in Điền Đinh's work include Natural Language Processing Techniques (52 papers), Topic Modeling (48 papers) and Text Readability and Simplification (16 papers). Điền Đinh is often cited by papers focused on Natural Language Processing Techniques (52 papers), Topic Modeling (48 papers) and Text Readability and Simplification (16 papers). Điền Đinh collaborates with scholars based in Vietnam, Myanmar and Japan. Điền Đinh's co-authors include Long Nguyen, Nigel Collier, Hung Q. Ngo, Koichi Takeuchi, Asanee Kawtrakul, Roberto A. Barrero, Mika Shigematsu, Lihua Jin, Ai Kawazoe and Lucie Ménard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Computational Intelligence and Neuroscience.

In The Last Decade

Điền Đinh

51 papers receiving 317 citations

Peers

Điền Đinh
Comparison fields: 5 of 54
  • Artificial Intelligence 326
  • Computer Vision and Pattern Recognition 63
  • Molecular Biology 39
  • Information Systems 39
  • Epidemiology 22
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Alexander R. Fabbri United States View profile →
Citations per field, relative to Điền Đinh
Điền Đinh · 1×
Citations per year, relative to Điền Đinh
Điền Đinh · 1×

Countries citing papers authored by Điền Đinh

Since Specialization
Citations

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

Fields of papers citing papers by Điền Đinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Điền Đinh

This figure shows the co-authorship network connecting the top 25 collaborators of Điền Đinh. A scholar is included among the top collaborators of Điền Đinh 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 Điền Đinh. Điền Đinh 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 0
2 1
3 0
4 1
5
Identifying Authors Based on Stylometric measures of Vietnamese texts.
2
6 8
7 1
8 2
9 13
10 6
11 0
12 1
13
An Approach of Chunk Alignment for French-Vietnamese Bilingual Corpora
0
14 11
15 39
16 11
17
The Parallel Corpus Approach to Building the Syntactic Tree Transfer Set in the English-to-Vietnamese Machine Translation
3
18
Building an Annotated English-Vietnamese Parallel Corpus for Training Vietnamese-related NLPs
1
19
A hybrid approach to word order transfer in the English-to-Vietnamese machine translation
2
20
Vietnamese Word Segmentation.
29

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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