Yizhuo Dong

519 total citations
11 papers, 276 citations indexed

About

Yizhuo Dong is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Yizhuo Dong has authored 11 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Signal Processing and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Yizhuo Dong's work include Emotion and Mood Recognition (3 papers), Speech and Audio Processing (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Yizhuo Dong is often cited by papers focused on Emotion and Mood Recognition (3 papers), Speech and Audio Processing (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Yizhuo Dong collaborates with scholars based in China and Singapore. Yizhuo Dong's co-authors include Xinyu Yang, Juan Li, Jie Wei, Juan Li, Luu Anh Tuan, Liming Che, Guangyin Lei, Anh Tuan Luu, Yanning Zhang and Xianguang Kong and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Yizhuo Dong

10 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yizhuo Dong China	6	137	126	89	84	57	11	276
S. Lalitha India	10	154 1.1×	225 1.8×	50 0.6×	82 1.0×	168 2.9×	29	397
Sergey Pugachevskiy Germany	7	170 1.2×	103 0.8×	41 0.5×	56 0.7×	129 2.3×	7	320
Turgut Özseven Türkiye	8	183 1.3×	179 1.4×	37 0.4×	83 1.0×	97 1.7×	27	311
Alicia Fernández-Sotos Spain	6	18 0.1×	107 0.8×	125 1.4×	49 0.6×	18 0.3×	9	243
Adria Mallol-Ragolta Germany	11	134 1.0×	139 1.1×	20 0.2×	54 0.6×	160 2.8×	30	326
Kalin Stefanov Australia	10	62 0.5×	49 0.4×	27 0.3×	104 1.2×	96 1.7×	31	248
Prashanth Gurunath Shivakumar United States	7	102 0.7×	96 0.8×	44 0.5×	17 0.2×	131 2.3×	18	241
Patrick Richardson United States	5	236 1.7×	49 0.4×	117 1.3×	139 1.7×	52 0.9×	7	302
Pooya Khorrami United States	5	71 0.5×	390 3.1×	75 0.8×	247 2.9×	117 2.1×	13	502
Christel Chamaret France	9	76 0.6×	163 1.3×	106 1.2×	280 3.3×	47 0.8×	19	432

Countries citing papers authored by Yizhuo Dong

Since Specialization

Citations

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

Fields of papers citing papers by Yizhuo Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhuo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yizhuo Dong. A scholar is included among the top collaborators of Yizhuo Dong 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 Yizhuo Dong. Yizhuo Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Sun, Wei, et al.. (2025). Multi-level cross-knowledge fusion with edge guidance for camouflaged object detection. Knowledge-Based Systems. 311. 113070–113070. 2 indexed citations

Dong, Yizhuo, et al.. (2025). Semi-supervised hybrid contrastive learning for PolSAR image classification. Knowledge-Based Systems. 311. 113078–113078.

Wei, Jie, et al.. (2023). Learning facial expression and body gesture visual information for video emotion recognition. Expert Systems with Applications. 237. 121419–121419. 29 indexed citations

Wei, Jie, et al.. (2022). Audio-Visual Domain Adaptation Feature Fusion for Speech Emotion Recognition. Interspeech 2022. 1988–1992. 4 indexed citations

Dong, Yizhuo, Liming Che, Zhibin Fan, Qiang Zou, & Guangyin Lei. (2022). Effects of On-State Resistance Temperature Effect on The Static Current Balancing Capability of SiC MOSFET Power Module. 2022 23rd International Conference on Electronic Packaging Technology (ICEPT). 1–6. 2 indexed citations

Che, Liming, Yizhuo Dong, & Guangyin Lei. (2022). Design Optimization of RC Snubber Circuit for A SiC Power Module. 2022 23rd International Conference on Electronic Packaging Technology (ICEPT). 1–6. 4 indexed citations

Wei, Jie, Xinyu Yang, & Yizhuo Dong. (2021). User-generated video emotion recognition based on key frames. Multimedia Tools and Applications. 80(9). 14343–14361. 29 indexed citations

Dong, Yizhuo & Xinyu Yang. (2021). Affect-salient event sequence modelling for continuous speech emotion recognition. Neurocomputing. 458. 246–258. 6 indexed citations

Dong, Yizhuo & Xinyu Yang. (2021). A hierarchical depression detection model based on vocal and emotional cues. Neurocomputing. 441. 279–290. 58 indexed citations

10.

Dong, Yizhuo, et al.. (2019). Bidirectional Convolutional Recurrent Sparse Network (BCRSN): An Efficient Model for Music Emotion Recognition. IEEE Transactions on Multimedia. 21(12). 3150–3163. 65 indexed citations

11.

Yang, Xinyu, Yizhuo Dong, & Juan Li. (2017). Review of data features-based music emotion recognition methods. Multimedia Systems. 24(4). 365–389. 77 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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