Chaoran Liu

520 total citations
39 papers, 320 citations indexed

About

Chaoran Liu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chaoran Liu has authored 39 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 17 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chaoran Liu's work include Speech and Audio Processing (14 papers), Emotion and Mood Recognition (11 papers) and Social Robot Interaction and HRI (10 papers). Chaoran Liu is often cited by papers focused on Speech and Audio Processing (14 papers), Emotion and Mood Recognition (11 papers) and Social Robot Interaction and HRI (10 papers). Chaoran Liu collaborates with scholars based in Japan, China and Bangladesh. Chaoran Liu's co-authors include Carlos Toshinori Ishi, Hiroshi Ishiguro, Norihiro Hagita, Changzeng Fu, Jiaqi Shi, Yuichiro Yoshikawa, Takamasa Iio, Jani Even, Hongxun Yao and Zhigang Liu and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Chaoran Liu

33 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoran Liu Japan 11 142 131 82 81 63 39 320
Yosuke Matsusaka Japan 10 190 1.3× 142 1.1× 39 0.5× 105 1.3× 80 1.3× 29 365
Shinya Fujie Japan 9 154 1.1× 178 1.4× 45 0.5× 42 0.5× 41 0.7× 40 301
Sascha Fagel Germany 6 94 0.7× 83 0.6× 107 1.3× 73 0.9× 55 0.9× 30 305
Ionuț Damian Germany 9 142 1.0× 128 1.0× 77 0.9× 71 0.9× 111 1.8× 16 361
Frédéric Elisei France 11 131 0.9× 143 1.1× 113 1.4× 143 1.8× 75 1.2× 29 449
Samer Al Moubayed Sweden 12 218 1.5× 220 1.7× 86 1.0× 147 1.8× 90 1.4× 49 497
David O. Johnson United States 8 199 1.4× 166 1.3× 47 0.6× 58 0.7× 30 0.5× 16 321
Angelica Lim Canada 11 141 1.0× 91 0.7× 69 0.8× 84 1.0× 35 0.6× 48 312
Ylva Ferstl Ireland 12 122 0.9× 109 0.8× 54 0.7× 180 2.2× 164 2.6× 18 401
Katerina Pastra Greece 9 61 0.4× 105 0.8× 34 0.4× 123 1.5× 16 0.3× 29 285

Countries citing papers authored by Chaoran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoran Liu. A scholar is included among the top collaborators of Chaoran Liu 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 Chaoran Liu. Chaoran Liu 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.
Fu, Changzeng, et al.. (2024). HAM-GNN: A hierarchical attention-based multi-dimensional edge graph neural network for dialogue act classification. Expert Systems with Applications. 261. 125459–125459. 6 indexed citations
2.
Fu, Changzeng, Siyang Song, Mingyue Niu, et al.. (2024). Facial action units guided graph representation learning for multimodal depression detection. Neurocomputing. 619. 129106–129106. 5 indexed citations
3.
Fu, Changzeng, et al.. (2024). HiMul-LGG: A hierarchical decision fusion-based local–global graph neural network for multimodal emotion recognition in conversation. Neural Networks. 181. 106764–106764. 10 indexed citations
4.
5.
Liu, Chaoran & Carlos Toshinori Ishi. (2023). A Smartphone Pose Auto-calibration Method using Hash-based DOA Estimation. 118. 1–6.
6.
Liu, Chaoran, et al.. (2023). Extrovert or Introvert? GAN-Based Humanoid Upper-Body Gesture Generation for Different Impressions. International Journal of Social Robotics. 17(3). 457–472. 3 indexed citations
7.
8.
Fu, Changzeng, Chaoran Liu, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2022). An Adversarial Training Based Speech Emotion Classifier With Isolated Gaussian Regularization. IEEE Transactions on Affective Computing. 14(3). 2361–2374. 10 indexed citations
9.
Liu, Chaoran, et al.. (2021). Modeling the Conditional Distribution of Co-Speech Upper Body Gesture Jointly Using Conditional-GAN and Unrolled-GAN. Electronics. 10(3). 228–228. 20 indexed citations
10.
Liu, Chaoran, et al.. (2021). Probabilistic Human-like Gesture Synthesis from Speech using GRU-based WGAN. 194–201. 13 indexed citations
11.
Shi, Jiaqi, Chaoran Liu, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2021). 3D skeletal movement-enhanced emotion recognition networks. APSIPA Transactions on Signal and Information Processing. 10(1). 1 indexed citations
12.
Fu, Changzeng, Jiaqi Shi, Chaoran Liu, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2020). AAEC. 45–51. 7 indexed citations
13.
Fu, Changzeng, Chaoran Liu, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2020). An End-to-end Multitask Learning Model to Improve Speech Emotion Recognition. 1–5. 6 indexed citations
14.
Ishi, Carlos Toshinori, Chaoran Liu, Jani Even, & Norihiro Hagita. (2018). A sound-selective hearing support system using environment sensor network. Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi. 39(4). 287–294. 3 indexed citations
15.
Liu, Chaoran, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2017). Turn-Taking Estimation Model Based on Joint Embedding of Lexical and Prosodic Contents. 1686–1690. 14 indexed citations
16.
Liu, Chaoran, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2017). Probabilistic nod generation model based on estimated utterance categories. 3. 5333–5339. 1 indexed citations
17.
Liu, Chaoran, Carlos Toshinori Ishi, & Hiroshi Ishiguro. (2015). Bringing the Scene Back to the Tele-operator. 55. 279–286. 5 indexed citations
18.
Ishi, Carlos Toshinori, Chaoran Liu, Hiroshi Ishiguro, & Norihiro Hagita. (2013). Lip Motion Generation Method Based on Formants for Tele-presence Humanoid Robots. Journal of the Robotics Society of Japan. 31(4). 401–408. 4 indexed citations
19.
Liu, Chaoran, Carlos Toshinori Ishi, Hiroshi Ishiguro, & Norihiro Hagita. (2012). Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction. 285–292. 57 indexed citations
20.
Ishi, Carlos Toshinori, Chaoran Liu, Hiroshi Ishiguro, & Norihiro Hagita. (2011). Speech-driven lip motion generation for tele-operated humanoid robots.. AVSP. 131–135. 16 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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