Ziping Zhao

1.8k total citations
64 papers, 1.2k citations indexed

About

Ziping Zhao is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Ziping Zhao has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Experimental and Cognitive Psychology, 25 papers in Artificial Intelligence and 14 papers in Cognitive Neuroscience. Recurrent topics in Ziping Zhao's work include Emotion and Mood Recognition (34 papers), Speech Recognition and Synthesis (13 papers) and Speech and Audio Processing (11 papers). Ziping Zhao is often cited by papers focused on Emotion and Mood Recognition (34 papers), Speech Recognition and Synthesis (13 papers) and Speech and Audio Processing (11 papers). Ziping Zhao collaborates with scholars based in China, Germany and United Kingdom. Ziping Zhao's co-authors include Björn W. Schuller, Haishuai Wang, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Chao Li, Jianhua Tao, Linhao Li, Yiqin Zhao and Mingyue Niu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and IEEE Access.

In The Last Decade

Ziping Zhao

59 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziping Zhao China 22 683 422 353 285 190 64 1.2k
Panagiotis Tzirakis United Kingdom 15 824 1.2× 479 1.1× 492 1.4× 177 0.6× 152 0.8× 29 1.4k
László A. Jeni United States 18 506 0.7× 286 0.7× 147 0.4× 266 0.9× 89 0.5× 54 1.5k
Tin Lay Nwe Singapore 18 717 1.0× 613 1.5× 862 2.4× 117 0.4× 99 0.5× 49 1.5k
Xiaofen Xing China 17 530 0.8× 330 0.8× 206 0.6× 358 1.3× 62 0.3× 80 1.0k
Jun Deng Germany 20 770 1.1× 806 1.9× 724 2.1× 105 0.4× 81 0.4× 44 1.5k
Ya Li China 21 601 0.9× 604 1.4× 362 1.0× 107 0.4× 140 0.7× 120 1.3k
George Trigeorgis United Kingdom 13 747 1.1× 624 1.5× 769 2.2× 158 0.6× 110 0.6× 17 1.9k
Mihalis A. Nicolaou United Kingdom 21 1.5k 2.2× 792 1.9× 922 2.6× 352 1.2× 331 1.7× 50 2.6k
Zheng Lian China 22 862 1.3× 749 1.8× 390 1.1× 107 0.4× 168 0.9× 87 1.5k
Enrique Garcia-Ceja Norway 13 257 0.4× 252 0.6× 57 0.2× 123 0.4× 66 0.3× 27 991

Countries citing papers authored by Ziping Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ziping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ziping Zhao. A scholar is included among the top collaborators of Ziping Zhao 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 Ziping Zhao. Ziping Zhao 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.
Ma, Chunmei, Jiahui Lu, Yonghong Hao, et al.. (2025). Modeling spatial–temporal behavior of precipitation-driven karst spring discharge using a hybrid deep learning model. Journal of Hydrology. 655. 132948–132948. 2 indexed citations
2.
Gao, Yingming, et al.. (2025). SeeNet: A Soft Emotion Expert and Data Augmentation Method to Enhance Speech Emotion Recognition. IEEE Transactions on Affective Computing. 16(3). 2142–2156.
3.
Zhao, Ziping, et al.. (2024). Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. IEEE Journal of Biomedical and Health Informatics. 28(10). 5755–5767. 9 indexed citations
4.
Bian, Ning, et al.. (2023). Multi-view domain-adaptive representation learning for EEG-based emotion recognition. Information Fusion. 104. 102156–102156. 39 indexed citations
5.
6.
Zhao, Ziping, Zhen Gong, Mingyue Niu, et al.. (2022). Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9102–9106. 21 indexed citations
7.
Niu, Mingyue, Ziping Zhao, Jianhua Tao, Ya Li, & Björn W. Schuller. (2022). Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 8065–8077. 24 indexed citations
8.
Wang, Haishuai, Guangyu Tao, Jiali Ma, et al.. (2022). An Interpretable Deep Embedding Model for Few and Imbalanced Biomedical Data. IEEE Journal of Biomedical and Health Informatics. PP. 1–8. 1 indexed citations
9.
Li, Ya, Mingyue Niu, Ziping Zhao, & Jianhua Tao. (2022). Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8507–8511. 10 indexed citations
10.
Zhao, Ziping, Zixing Zhang, Nicholas Cummins, et al.. (2021). Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks. 141. 52–60. 74 indexed citations
11.
Yu, Ning, et al.. (2021). Emotion Recognition of Chinese Paintings at the Thirteenth National Exhibition of Fines Arts in China Based on Advanced Affective Computing. Frontiers in Psychology. 12. 741665–741665. 7 indexed citations
12.
Zhao, Ziping, Nicholas Cummins, Bin Liu, et al.. (2020). Hybrid Network Feature Extraction for Depression Assessment from Speech. OPUS (Augsburg University). 4956–4960. 36 indexed citations
13.
Liu, Shuo, et al.. (2020). Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. OPUS (Augsburg University). 1–7. 4 indexed citations
14.
Zhao, Ziping, Chunmei Ma, Huazhi Sun, et al.. (2020). End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture. Sensors. 20(7). 1809–1809. 29 indexed citations
15.
Zhao, Ziping, Zhongtian Bao, Zixing Zhang, et al.. (2019). Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE Journal of Selected Topics in Signal Processing. 14(2). 423–434. 73 indexed citations
16.
Mallol-Ragolta, Adria, Ziping Zhao, Lukas Stappen, Nicholas Cummins, & Björn W. Schuller. (2019). A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. OPUS (Augsburg University). 221–225. 43 indexed citations
17.
Zhao, Ziping, Yu Zheng, Zixing Zhang, et al.. (2018). Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. DigitalCommons - Fairfield (Fairfield University). 272–276. 70 indexed citations
18.
Wang, Jinwei, et al.. (2014). Puzzlement Detection from Facial Expression Using Active Appearance Models and Support Vector Machines. International Journal of Signal Processing Image Processing and Pattern Recognition. 7(5). 349–360. 7 indexed citations
19.
Pei, Wei-dong, et al.. (2010). Study of a class of dynamic complex network evolving models with a triangular structure structure. JUSTC. 40(11). 1186–1190. 4 indexed citations
20.
Zhao, Ziping, et al.. (2009). E-assessment and Design Methodology Management. University of Huddersfield Repository (University of Huddersfield). 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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