Fuze Tian

761 total citations · 1 hit paper
37 papers, 298 citations indexed

About

Fuze Tian is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fuze Tian has authored 37 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 14 papers in Experimental and Cognitive Psychology and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fuze Tian's work include EEG and Brain-Computer Interfaces (17 papers), Heart Rate Variability and Autonomic Control (8 papers) and Emotion and Mood Recognition (8 papers). Fuze Tian is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Heart Rate Variability and Autonomic Control (8 papers) and Emotion and Mood Recognition (8 papers). Fuze Tian collaborates with scholars based in China, United Kingdom and Japan. Fuze Tian's co-authors include Bin Hu, Qinglin Zhao, Qunxi Dong, Kun Qian, Lixin Zhang, Björn W. Schuller, Yoshiharu Yamamoto, Jingyu Liu, Mingqi Zhao and Shuting Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Computers.

In The Last Decade

Fuze Tian

32 papers receiving 298 citations

Hit Papers

Machine Learning Enabled Reusable Adhesion, Entangled Net... 2025 2026 2025 5 10 15

Peers

Fuze Tian
I.Y. Kim South Korea
Seung-Bo Lee South Korea
Anıl Yüce Switzerland
Weixuan Chen United States
Wolfgang Ganglberger United States
Siddharth Siddharth United States
Ao Li China
I.Y. Kim South Korea
Fuze Tian
Citations per year, relative to Fuze Tian Fuze Tian (= 1×) peers I.Y. Kim

Countries citing papers authored by Fuze Tian

Since Specialization
Citations

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

Fields of papers citing papers by Fuze Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuze Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Fuze Tian. A scholar is included among the top collaborators of Fuze Tian 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 Fuze Tian. Fuze Tian 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.
Zhao, Qinglin, Lixin Zhang, Kai Zheng, et al.. (2025). E-DANN: An Enhanced Domain Adaptation Network for Audio-EEG Feature Decoupling in Explainable Depression Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 3647–3661. 2 indexed citations
2.
Tian, Fuze, Jingyu Liu, Mingqi Zhao, et al.. (2025). An Onboard Executable Multitask Network Model for Bioradar-Based ECG Signal Reconstruction Using High-Fidelity DHD Signals. IEEE Transactions on Instrumentation and Measurement. 74. 1–20. 1 indexed citations
3.
Qian, Kun, et al.. (2025). Enhancing Emotion Regulation in Mental Disorder Treatment: An AIGC-Based Closed-Loop Music Intervention System. IEEE Transactions on Affective Computing. 16(3). 2245–2260. 9 indexed citations
4.
Shi, Lihong, Jie Liu, Lixin Zhang, et al.. (2025). Exploring brain-heart interactions: advances in physiological signal fusion for healthcare. Information Fusion. 128. 103950–103950.
5.
Shen, Jian, Yanan Zhang, Fuze Tian, et al.. (2025). WDANet: Wasserstein Distribution Inspired Dynamic Adversarial Network for EEG-Based Cross-Domain Depression Recognition. IEEE Transactions on Affective Computing. 17(1). 1091–1104.
6.
Tian, Fuze, Jingyu Liu, Kun Qian, et al.. (2025). Towards Practical Colorectal Cancer Diagnosis: A Bowel Sound-Based System with Portable Sensor and On-Board Lightweight AI Model. IEEE Internet of Things Journal. 1–1. 1 indexed citations
7.
Zhao, Qinglin, Lixin Zhang, Qi Pan, et al.. (2025). An On-Board Executable Pareto-Based Iterated Local Search Algorithm for Embedded Multi-Core Processor Task Scheduling. IEEE Transactions on Computers. 74(11). 3696–3709.
8.
Li, Yuwen, Fuze Tian, Kun Qian, et al.. (2025). Explainable Depression Classification Based on EEG Feature Selection From Audio Stimuli. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1411–1426. 7 indexed citations
9.
Qian, Kun, Zhonghao Zhao, Weijia Zhang, et al.. (2025). Computer audition for healthcare: A survey on speech analysis. SHILAP Revista de lepidopterología. 6. 244–275.
10.
Tian, Fuze, Jingyu Liu, Jie Liu, et al.. (2025). An AI-Assisted All-in-One Integrated Coronary Artery Disease Diagnosis System Using a Portable Heart Sound Sensor With an On-Board Executable Lightweight Model. IEEE Transactions on Mobile Computing. 24(8). 7252–7266. 10 indexed citations
11.
Zhao, Qinglin, et al.. (2025). LSNN Model: A Lightweight Spiking Neural Network-Based Depression Classification Model for Wearable EEG Sensors. IEEE Transactions on Mobile Computing. 24(11). 12640–12654. 4 indexed citations
12.
Zhao, Mingqi, et al.. (2024). A convolution and attention-based conditional adversarial domain adaptation neural network for emotion recognition using electroencephalography. Biomedical Signal Processing and Control. 100. 106957–106957. 4 indexed citations
13.
Luo, Gang, Shuting Sun, Xuesong Liu, et al.. (2024). IMGWOFS: A Feature Selector With Trade-Off Between Conflict Objectives for EEG-Based Emotion Recognition. IEEE Transactions on Affective Computing. 16(2). 598–610. 3 indexed citations
14.
Tian, Fuze, Lixin Zhang, Mingqi Zhao, et al.. (2024). Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs. IEEE Transactions on Computational Social Systems. 11(6). 7309–7337. 13 indexed citations
15.
Qian, Kun, et al.. (2024). A First Look at Generative Artificial Intelligence-Based Music Therapy for Mental Disorders. IEEE Transactions on Consumer Electronics. 71(3). 7439–7453. 12 indexed citations
16.
Liu, Jingyu, Zhigang Li, Jingjing Zhou, et al.. (2024). Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation. IEEE Transactions on Computational Social Systems. 11(6). 7400–7410. 9 indexed citations
17.
Tian, Fuze, et al.. (2023). An FFT-Based DC Offset Compensation and I/Q Imbalance Correction Algorithm for Bioradar Sensors. IEEE Transactions on Microwave Theory and Techniques. 72(3). 1900–1910. 20 indexed citations
18.
Tian, Fuze, Lixin Zhang, Qunxi Dong, et al.. (2023). The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1305–1318. 41 indexed citations
20.
Zhang, Lixin, et al.. (2021). High-speed ocular artifacts removal of multichannel EEG based on improved moment matching. Journal of Neural Engineering. 18(5). 56038–56038. 9 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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