Brendan Jou

1.8k total citations · 1 hit paper
22 papers, 989 citations indexed

About

Brendan Jou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Brendan Jou has authored 22 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Brendan Jou's work include Sentiment Analysis and Opinion Mining (7 papers), Video Analysis and Summarization (5 papers) and Visual Attention and Saliency Detection (4 papers). Brendan Jou is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Video Analysis and Summarization (5 papers) and Visual Attention and Saliency Detection (4 papers). Brendan Jou collaborates with scholars based in United States, United Kingdom and Switzerland. Brendan Jou's co-authors include Shih‐Fu Chang, Maja Pantić, Björn W. Schuller, Mohammad Soleymani, David García, Xavier Giró-i-Nieto, Víctor Campos, Alan Cowen, Gautam Prasad and Hartwig Adam and has published in prestigious journals such as Nature, Frontiers in Psychology and Image and Vision Computing.

In The Last Decade

Brendan Jou

22 papers receiving 958 citations

Hit Papers

A survey of multimodal sentiment analysis 2017 2026 2020 2023 2017 100 200 300

Peers

Brendan Jou
Rajiv Bajpai Singapore
Brendan Jou
Citations per year, relative to Brendan Jou Brendan Jou (= 1×) peers Rajiv Bajpai

Countries citing papers authored by Brendan Jou

Since Specialization
Citations

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

Fields of papers citing papers by Brendan Jou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brendan Jou

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Jou. A scholar is included among the top collaborators of Brendan Jou 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 Brendan Jou. Brendan Jou 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
1.
Somandepalli, Krishna, John Oliver Siy, & Brendan Jou. (2024). Relational Affect in Dyadic Interactions. 1–9. 1 indexed citations
2.
Cowen, Alan, Jeffrey A. Brooks, Gautam Prasad, et al.. (2024). How emotion is experienced and expressed in multiple cultures: a large-scale experiment across North America, Europe, and Japan. Frontiers in Psychology. 15. 1350631–1350631. 10 indexed citations
3.
Jansen, Aren, et al.. (2024). A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. 11837–11865. 1 indexed citations
4.
Somandepalli, Krishna, et al.. (2023). LanSER: Language-Model Supported Speech Emotion Recognition. arXiv (Cornell University). 2408–2412. 8 indexed citations
5.
Somandepalli, Krishna, H. Jerry Qi, Brian Eoff, et al.. (2022). Federated Learning for Affective Computing Tasks. 1–8. 5 indexed citations
6.
Zhang, Mingda, Andrey Zhmoginov, Andrew Howard, et al.. (2021). BasisNet: Two-stage Model Synthesis for Efficient Inference. 3075–3084. 1 indexed citations
7.
Cowen, Alan, Dacher Keltner, Florian Schroff, et al.. (2020). Sixteen facial expressions occur in similar contexts worldwide. Nature. 589(7841). 251–257. 145 indexed citations
8.
Campos, Víctor, Brendan Jou, & Xavier Giró-i-Nieto. (2017). From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction. QRU Quaderns de Recerca en Urbanisme. 149 indexed citations
9.
Soleymani, Mohammad, David García, Brendan Jou, et al.. (2017). A survey of multimodal sentiment analysis. Image and Vision Computing. 65. 3–14. 369 indexed citations breakdown →
10.
Pappas, Nikolaos, Мириам Реди, Mercan Topkara, et al.. (2017). Multilingual visual sentiment concept clustering and analysis. International Journal of Multimedia Information Retrieval. 6(1). 51–70. 2 indexed citations
11.
Jou, Brendan & Shih‐Fu Chang. (2016). Deep Cross Residual Learning for Multitask Visual Recognition. 998–1007. 55 indexed citations
12.
Jou, Brendan, et al.. (2016). SentiCart. 389–392. 3 indexed citations
13.
Jou, Brendan, et al.. (2016). Tamp. 1206–1209. 2 indexed citations
14.
Liu, Hongyi, Brendan Jou, Tao Chen, et al.. (2016). Complura. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6. 417–420. 6 indexed citations
15.
Jou, Brendan, et al.. (2014). Why We Watch the News. 104–111. 18 indexed citations
16.
Jou, Brendan, Subhabrata Bhattacharya, & Shih‐Fu Chang. (2014). Predicting Viewer Perceived Emotions in Animated GIFs. 213–216. 52 indexed citations
17.
Guo, Xin, et al.. (2013). Robust Object Co-detection. 3206–3213. 21 indexed citations
18.
Li, Hongzhi, et al.. (2013). News rover. 449–450. 12 indexed citations
19.
Jou, Brendan, et al.. (2013). Structured exploration of who, what, when, and where in heterogeneous multimedia news sources. 357–360. 14 indexed citations
20.
Merkow, Jameson, Brendan Jou, & Marios Savvides. (2010). An exploration of gender identification using only the periocular region. 1–5. 58 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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