Weiming Huang

1.4k total citations · 1 hit paper
65 papers, 862 citations indexed

About

Weiming Huang is a scholar working on Geography, Planning and Development, Transportation and Artificial Intelligence. According to data from OpenAlex, Weiming Huang has authored 65 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Geography, Planning and Development, 14 papers in Transportation and 13 papers in Artificial Intelligence. Recurrent topics in Weiming Huang's work include Geographic Information Systems Studies (15 papers), Human Mobility and Location-Based Analysis (13 papers) and Data Management and Algorithms (12 papers). Weiming Huang is often cited by papers focused on Geographic Information Systems Studies (15 papers), Human Mobility and Location-Based Analysis (13 papers) and Data Management and Algorithms (12 papers). Weiming Huang collaborates with scholars based in China, Singapore and Sweden. Weiming Huang's co-authors include Haigang Sui, Wenqing Feng, Chuan Xu, Lizhen Cui, Lars Harrie, Daokun Zhang, Meng Chen, Gao Cong, Yao Yao and Gengchen Mai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Weiming Huang

61 papers receiving 823 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

2024 45 citations Gengchen Mai, Weiming Huang et al. ACM Transactions on Spatial Algorithms and Systems profile →

Peers

Countries citing papers authored by Weiming Huang

Since Specialization

Citations

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

Fields of papers citing papers by Weiming Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Huang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A diffusion-stimulated CT-US registration model with self-supervised learning and synthetic-to-real domain adaptation 2025 ·Computerized Medical Imaging and Graphics ·(unknown), (unknown), Weiming Huang, Xiaobo Zhang, (unknown), Cheng Wang, Gao‐Jun Teng	1
2	GeoFM: how will geo-foundation models reshape spatial data science and GeoAI? 2025 ·International Journal of Geographical Information Systems ·Krzysztof Janowicz, Gengchen Mai, Weiming Huang, Rui Zhu, Ni Lao, Ling Cai	2
3	UrbanMMCL: Urban region representations via multi-modal and multi-graph self-supervised contrastive learning 2025 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Jinzhou Cao, (unknown), (unknown), Weiming Huang, Dongsheng Chen, Tianhong Zhao, Wei Tu, Qingquan Li	0
4	Learning dual context aware POI representations for geographic mapping 2025 ·International Journal of Applied Earth Observation and Geoinformation ·(unknown), Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li	0
5	Fairness identification of large language models in recommendation 2025 ·Scientific Reports ·Wei Liu, (unknown), (unknown), (unknown), Weiming Huang, (unknown)	0
6	Self-supervised representation learning for geospatial objects: A survey 2025 ·Information Fusion ·(unknown), Weiming Huang, (unknown), Yue Jiang, Gao Cong	5
7	Optimized-CNN enabled Facial Emotion Recognition within Collaborative Edge Computing 2024 ·Ming Tao, (unknown), (unknown), Ji Xu, Weiming Huang	3
8	Urban Region Embedding via Multi-View Contrastive Prediction 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen	8
9	On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) breakdown → 2024 ·ACM Transactions on Spatial Algorithms and Systems ·Gengchen Mai, Weiming Huang, (unknown), Suhang Song, Deepak R. Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, (unknown), Rui Zhu, Ni Lao	45
10	Sensing climate justice: A multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery 2024 ·Sustainable Cities and Society ·Pengyuan Liu, Binyu Lei, Weiming Huang, Filip Biljecki, (unknown), (unknown), Rudi Stouffs	3
11	Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives 2024 ·GIScience & Remote Sensing ·(unknown), Weiming Huang, Yao Yao, Song Gao, Lizhen Cui, Zhongmin Yan	5
12	A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation 2023 ·International Journal of Digital Earth ·Huafei Yu, Tinghua Ai, Min Yang, Weiming Huang, Lars Harrie	10
13	Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs 2023 ·ISPRS Journal of Photogrammetry and Remote Sensing ·(unknown), Weiming Huang, Xiuyuan Zhang, Shihong Du, Gao Cong, Haoyu Wang, Bo Liu	34
14	Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information 2023 ·Dabin Zhang, (unknown), Weiming Huang, Kai Zhao, Meng Chen	4
15	Unsupervised land-use change detection using multi-temporal POI embedding 2023 ·International Journal of Geographical Information Systems ·Yao Yao, (unknown), (unknown), Weiming Huang, Yatao Zhang, (unknown), (unknown), (unknown), Hong Liu, Qingfeng Guan	13
16	HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Fuqiang Yu, Lizhen Cui, Huanhuan Chen, (unknown), Ning Liu, Weiming Huang, Yonghui Xu, Hua Lu	5
17	Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure 2019 ·ISPRS International Journal of Geo-Information ·Weiming Huang, (unknown), Oleg Mirzov, Lars Harrie	17
18	Privacy Protection for Recommendation System: A Survey 2019 ·Journal of Physics Conference Series ·Weiming Huang, Baisong Liu, (unknown)	14
19	Change Detection Method for High Resolution Remote Sensing Images Using Random Forest 2017 ·SHILAP Revista de lepidopterología ·Wenqing Feng, Haigang Sui, Jihui Tu, Kaimin Sun, Weiming Huang	5
20	P‐83: An Improvement of Color Difference between Two Eyes of Stereoscopic Display with Glasses 2009 ·SID Symposium Digest of Technical Papers ·(unknown), Chin‐Wen Chen, (unknown), (unknown), (unknown), Weiming Huang	4

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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