Houwei Cao

1.5k total citations · 1 hit paper
36 papers, 924 citations indexed

About

Houwei Cao is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Networks and Communications. According to data from OpenAlex, Houwei Cao has authored 36 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Experimental and Cognitive Psychology and 11 papers in Computer Networks and Communications. Recurrent topics in Houwei Cao's work include Speech Recognition and Synthesis (13 papers), Emotion and Mood Recognition (12 papers) and Caching and Content Delivery (9 papers). Houwei Cao is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Emotion and Mood Recognition (12 papers) and Caching and Content Delivery (9 papers). Houwei Cao collaborates with scholars based in United States, China and Hong Kong. Houwei Cao's co-authors include Ragini Verma, Ani Nenkova, Ruben C. Gur, David G. Cooper, Michael K. Keutmann, Arman Savran, P.C. Ching, Tan Lee, Joyce Y.C. Chan and Yong Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and IEEE/ACM Transactions on Networking.

In The Last Decade

Houwei Cao

35 papers receiving 882 citations

Hit Papers

CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset
    2014 443 citations Houwei Cao, David G. Cooper et al. IEEE Transactions on Affective Computing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Houwei Cao United States 13 463 405 351 275 101 36 924
Valery A. Petrushin United States 10 311 0.7× 248 0.6× 239 0.7× 182 0.7× 28 0.3× 38 600
Yelin Kim United States 11 359 0.8× 228 0.6× 245 0.7× 203 0.7× 20 0.2× 21 644
Florian Groß Germany 5 411 0.9× 616 1.5× 490 1.4× 163 0.6× 122 1.2× 6 1.3k
A. Garg United States 11 147 0.3× 534 1.3× 359 1.0× 504 1.8× 43 0.4× 16 1.0k
Longbiao Wang China 19 261 0.6× 774 1.9× 902 2.6× 161 0.6× 26 0.3× 145 1.3k
Mohammad Haseeb Zafar Pakistan 9 255 0.6× 215 0.5× 162 0.5× 88 0.3× 108 1.1× 43 647
Koichi Shinoda Japan 16 168 0.4× 761 1.9× 989 2.8× 331 1.2× 28 0.3× 136 1.4k
E. Petajan United States 13 93 0.2× 444 1.1× 270 0.8× 455 1.7× 59 0.6× 34 939
Seiichi Nakagawa Japan 21 159 0.3× 1.0k 2.6× 1.3k 3.8× 187 0.7× 30 0.3× 257 1.6k
Reza Lotfian United States 14 350 0.8× 317 0.8× 351 1.0× 99 0.4× 15 0.1× 28 631

Countries citing papers authored by Houwei Cao

Since Specialization
Citations

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

Fields of papers citing papers by Houwei Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houwei Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Houwei Cao. A scholar is included among the top collaborators of Houwei Cao 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 Houwei Cao. Houwei Cao 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.
Li, Chen, et al.. (2025). Coffee: Cost-effective edge caching for live 360 degree video streaming. Computer Networks. 269. 111461–111461.
2.
Cao, Houwei, et al.. (2025). Decentralized Federated Learning with Model Caching on Mobile Agents. Proceedings of the AAAI Conference on Artificial Intelligence. 39(20). 21296–21303. 1 indexed citations
3.
Li, Chen, et al.. (2023). Predictive edge caching through deep mining of sequential patterns in user content retrievals. Computer Networks. 233. 109866–109866. 7 indexed citations
4.
Cao, Houwei, et al.. (2022). Realtime mobile bandwidth and handoff predictions in 4G/5G networks. Computer Networks. 204. 108736–108736. 30 indexed citations
5.
Li, Chen, et al.. (2022). Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity With Ensemble Learning. IEEE/ACM Transactions on Networking. 31(1). 208–219. 29 indexed citations
6.
Yang, Ziqing, et al.. (2022). Multimodal Emotion Recognition with Surgical and Fabric Masks. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4678–4682. 2 indexed citations
7.
Cao, Houwei, et al.. (2021). Analysis of Eye Fixations During Emotion Recognition in Talking Faces. 1–7. 2 indexed citations
8.
Cao, Houwei, et al.. (2020). Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion. Computer Networks. 182. 107515–107515. 40 indexed citations
9.
10.
Ding, Hao, Jia Huang, Houwei Cao, & Yong Liu. (2016). Improving Cold Music Recommendation through Hierarchical Audio Alignment. 1. 77–82. 2 indexed citations
11.
Savran, Arman, Houwei Cao, Ani Nenkova, & Ragini Verma. (2014). Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities. IEEE Transactions on Cybernetics. 45(9). 1927–1941. 40 indexed citations
12.
Cao, Houwei, David G. Cooper, Michael K. Keutmann, et al.. (2014). CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset. IEEE Transactions on Affective Computing. 5(4). 377–390. 443 indexed citations breakdown →
13.
Cao, Houwei, Arman Savran, Ragini Verma, & Ani Nenkova. (2014). Acoustic and lexical representations for affect prediction in spontaneous conversations. Computer Speech & Language. 29(1). 203–217. 8 indexed citations
14.
Cao, Houwei, Ragini Verma, & Ani Nenkova. (2014). Speaker-sensitive emotion recognition via ranking: Studies on acted and spontaneous speech. Computer Speech & Language. 29(1). 186–202. 81 indexed citations
15.
Cao, Houwei, Štefan Beňuš, Ruben C. Gur, Ragini Verma, & Ani Nenkova. (2014). Prosodic cues for emotion: analysis with discrete characterization of intonation. PubMed. 2014. 130–134. 10 indexed citations
16.
Cooper, David G., et al.. (2013). Action Unit Models of Facial Expression of Emotion in the Presence of Speech. PubMed. 2013. 49–54. 9 indexed citations
17.
Savran, Arman, et al.. (2012). Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering. PubMed. 2012. 485–492. 44 indexed citations
18.
Cao, Houwei, et al.. (2010). Semantics-based language modeling for Cantonese-English code-mixing speech recognition. 246–250. 13 indexed citations
19.
Chan, Joyce Y.C., Houwei Cao, P.C. Ching, & Tan Lee. (2009). Automatic Recognition of Cantonese-English Code-Mixing Speech. 14(3). 281–304. 21 indexed citations
20.
Qian, Yao, Houwei Cao, & Frank K. Soong. (2008). HMM-Based Mixed-Language (Mandarin-English) Speech Synthesis. 13–16. 4 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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