Ehsan Hoque

39 papers receiving 999 citations

Ehsan Hoque's Hit Papers

Integrating Multimodal Information in Large Pretrained Transformers 2020 · 431 citations
4310+2+4Years since publication100200300400

Peers

Ehsan Hoque
Comparison fields: 5 of 103
  • Health Informatics 44
  • Artificial Intelligence 485
  • Experimental and Cognitive Psychology 161
  • Applied Psychology 47
  • Signal Processing 96
Replace Tanvi Banerjee with:
Tanvi Banerjee United States
Khondaker A. Mamun Bangladesh
Marco Nalin Italy
Ilaria Baroni Italy
João Palotti Austria
Jan Alexandersson Germany
Xiao Yang United States
Shiguang Ni China
Bo Cheng China
Ehsan Hoque relative to Tanvi Banerjee United States Tanvi Banerjee's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ehsan Hoque

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Hoque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ehsan Hoque, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ehsan Hoque Line = papers co-authored together Ehsan Hoque links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrating Multimodal Information in Large Pretrained Transformers
Hit paper breakdown →
2020431
2 202084
3 202157
4 202154
5 202052
6 202343
7 202037
8 202134
9 202133
10 202026
11 202223
12 202215
13 202112
14 202111
15 202011
16 202310
17 20228
18 20238
19 20237
20 20207

About Ehsan Hoque

Ehsan Hoque is a scholar working on Neurology, Social Psychology, Artificial Intelligence, Cognitive Neuroscience and Applied Psychology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Voice and Speech Disorders (6 papers), Autism Spectrum Disorder Research (4 papers), Social Robot Interaction and HRI (4 papers), Topic Modeling (4 papers), Humor Studies and Applications (3 papers), Speech and dialogue systems (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Health Informatics (44 citations), Artificial Intelligence (485 citations), Experimental and Cognitive Psychology (161 citations), Applied Psychology (47 citations) and Signal Processing (96 citations). Ehsan Hoque has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include Wasifur Rahman, Sangwu Lee, Louis‐Philippe Morency, Md. Kamrul Hasan, Chengfeng Mao, AmirAli Bagher Zadeh, Phyllis Noemi Butow, Mohammad Rafayet Ali, Henry Kautz and Thomas Foltynie. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Affective Computing, Proceedings of the ACM on Human-Computer Interaction, American Journal of Geriatric Psychiatry and npj Digital Medicine.

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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