Le An Ha

1.2k total citations
36 papers, 701 citations indexed

About

Le An Ha is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Information Systems. According to data from OpenAlex, Le An Ha has authored 36 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 5 papers in Information Systems. Recurrent topics in Le An Ha's work include Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Autism Spectrum Disorder Research (6 papers). Le An Ha is often cited by papers focused on Natural Language Processing Techniques (22 papers), Topic Modeling (19 papers) and Autism Spectrum Disorder Research (6 papers). Le An Ha collaborates with scholars based in United Kingdom, United States and Türkiye. Le An Ha's co-authors include Ruslan Mitkov, Victoria Yaneva, Nikiforos Karamanis, Sukru Eraslan, Yeliz Yeşilada, Janet Mee, Shiva Taslimipoor, Andrea Varga, Luz Rello and Gloria Corpas Pastor and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signal Processing and Control.

In The Last Decade

Le An Ha

31 papers receiving 652 citations

Peers

Le An Ha
Comparison fields: 5 of 61
  • Artificial Intelligence 487
  • Information Systems 132
  • Cognitive Neuroscience 126
  • Education 115
  • Computer Vision and Pattern Recognition 73
Replace Victoria Yaneva with:
Victoria Yaneva United Kingdom
Dina Goren‐Bar Israel
Sandra Maria Aluísio Brazil
Sha Li China
Lonneke van der Plas Malta
Aiping Xiong United States
Cansu Oranç Türkiye
Aleksander Wawer Poland
Stelios Piperidis Greece
Joshua M. Lewis United States
Victoria Yaneva United Kingdom View profile →
Citations per field, relative to Le An Ha
Le An Ha · 1×
Citations per year, relative to Le An Ha
Le An Ha · 1×

Countries citing papers authored by Le An Ha

Since Specialization
Citations

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

Fields of papers citing papers by Le An Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le An Ha. 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 Le An Ha. The network helps show where Le An Ha may publish in the future.

Co-authorship network of co-authors of Le An Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Le An Ha. A scholar is included among the top collaborators of Le An Ha 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 Le An Ha. Le An Ha 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 1
2 0
3 3
4 2
5 4
6 1
7
Using linguistic features to predict the response process complexity associated with answering clinical MCQs
1
8 0
9
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam.
9
10
A first dataset for film age appropriateness investigation
4
11 12
12 6
13 15
14 6
15 11
16
Automatic Question Generation in Multimedia-Based Learning
2
17
Mutual terminology extraction using a statistical framework
4
18
Mutual Bilingual Terminology Extraction
14
19 0
20 154

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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