Projects per year
Personal profile
Research interests
Geospatial AI
Image processing
Machine learning
Urban analytics
Urban remote sensing.
Personal profile
I am a Lecturer with interdisciplinary research expertise in artificial intelligence, remote sensing, and urban environmental studies. My research focuses on applying advanced machine learning and deep learning techniques to real-world challenges, including urban climate modelling, public health, and intelligent detection systems. I have contributed to a range of high-impact publications in areas such as multimodal data fusion, urban heat island analysis, and computer vision. My current work aims to develop innovative, data-driven solutions that bridge technology and sustainable urban development.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Active
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Modeling Urban Cold Island Effects with Neighborhood Interactions: A Multimodal Large Language Model Approach to Linking Urban Climate and Human Health
Chen, Y. (PI)
26/11/25 → 25/05/27
Project: Research
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Investigate Reliability Features for AI to Predict Capacitance Fluctuations in Batteries Under Extreme Conditions
Chen, Y. (CoI)
26/11/25 → 25/05/27
Project: Research
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Category-Guided Vision-Language Model for IoMT-Enabled Medical Report Generation under Heterogeneous Imaging Data
Liu, X., Jin, Q., Zhang, T. T., Tang, Z. R., Chen, Y. & Liu, Z., 2026, (Accepted/In press) In: IEEE Internet of Things Journal.Research output: Contribution to journal › Article › peer-review
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MPCANet: Multi-physical prior guided cross-modal attention and fusion network for RGB-T salient object detection
Gao, H., Zheng, Y., Li, C., Xiao, L., Zhang, T.-T., Chen, Y. & Tang, Z.-R., Apr 2026, In: Expert Systems with Applications. 322Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Thermal-Physics Inspired Cross-Modal Alignment for AAV-Based RGB-T Salient Object Detection
Gao, H., Zheng, Y., Xiao, L., Chen, Y., Song, K., Wu, W. & Tang, Z.-R., 3 Jun 2026, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.Research output: Contribution to journal › Article › peer-review
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Assessing Urban Safety Perception Through Street View Imagery and Transfer Learning: A Case Study of Wuhan, China
Chen, Y. & Tang, Z. R., Sept 2025, In: Sustainability (Switzerland). 17, 17, 7641.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Physics-Inspired Prior Learning and Target-Aware Multimodal Fusion for RGB-T Pedestrian Detection
Gao, H., Wang, S., Zheng, Y., Hu, Y., Tang, Z.-R. & Chen, Y., Dec 2025, p. 297-302. 6 p.Research output: Contribution to conference › Paper › peer-review
Activities
- 3 Publication Peer-review
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Frontiers in Computational Neuroscience (Journal)
Chen, Y. (Reviewer)
Apr 2023Activity: Publication peer-review and editorial work › Publication Peer-review
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Scientific Reports (Journal)
Chen, Y. (Reviewer)
Jan 2023 → Apr 2023Activity: Publication peer-review and editorial work › Publication Peer-review
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International Journal of Applied Earth Observation and Geoinformation (Journal)
Chen, Y. (Reviewer)
Apr 2021 → Jun 2021Activity: Publication peer-review and editorial work › Publication Peer-review