Min Xia

6.5k total citations · 2 hit papers
286 papers, 4.8k citations indexed

About

Min Xia is a scholar working on Electrical and Electronic Engineering, Media Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Xia has authored 286 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Electrical and Electronic Engineering, 66 papers in Media Technology and 65 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Xia's work include Remote-Sensing Image Classification (56 papers), Remote Sensing and Land Use (31 papers) and Remote Sensing and LiDAR Applications (26 papers). Min Xia is often cited by papers focused on Remote-Sensing Image Classification (56 papers), Remote Sensing and Land Use (31 papers) and Remote Sensing and LiDAR Applications (26 papers). Min Xia collaborates with scholars based in China, United Kingdom and Hong Kong. Min Xia's co-authors include Haifeng Lin, Liguo Weng, Kai Hu, Ming Qian, Liguo Weng, Yiqing Xu, Wanan Liu, Yonghong Zhang, Wai Keung Wong and Jian‐an Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Min Xia

267 papers receiving 4.7k citations

Hit Papers

Dual-Attention-Guided Multiscale Feature Aggregation Netw... 2024 2026 2025 2024 2025 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Xia China 41 1.4k 1.2k 938 703 655 286 4.8k
Qiguang Miao China 40 1.7k 1.2× 2.4k 2.1× 1.3k 1.4× 562 0.8× 263 0.4× 246 5.8k
Lingling Li China 38 1.3k 0.9× 2.0k 1.7× 1.4k 1.5× 425 0.6× 504 0.8× 344 6.5k
Turgay Çelik South Africa 36 2.3k 1.6× 2.9k 2.4× 840 0.9× 1.0k 1.5× 486 0.7× 144 5.9k
Xiaohui Yuan United States 36 897 0.6× 1.9k 1.6× 949 1.0× 158 0.2× 580 0.9× 225 5.5k
Yunming Ye China 37 916 0.6× 1.3k 1.1× 2.0k 2.1× 726 1.0× 208 0.3× 179 4.8k
Naif Alajlan Saudi Arabia 38 1.0k 0.7× 1.6k 1.4× 1.1k 1.1× 369 0.5× 229 0.3× 151 6.2k
Heng-Chao Li China 35 3.7k 2.6× 1.8k 1.6× 760 0.8× 1.9k 2.8× 409 0.6× 199 6.1k
Chen Wu China 35 2.7k 1.9× 1.7k 1.5× 794 0.8× 1.7k 2.4× 270 0.4× 164 5.2k
Jiaqi Zhao China 29 862 0.6× 1.4k 1.2× 583 0.6× 351 0.5× 209 0.3× 227 3.4k
Robert Jenssen Norway 31 841 0.6× 1.3k 1.1× 1.2k 1.3× 281 0.4× 258 0.4× 123 3.6k

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Min Xia. A scholar is included among the top collaborators of Min Xia 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 Min Xia. Min Xia 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.
Yang, Song, et al.. (2025). Lightning nowcasting based on high-density area and extrapolation utilizing long-range lightning location data. Atmospheric Research. 321. 108070–108070. 2 indexed citations
2.
Huang, Junqing, et al.. (2025). SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 16916–16928. 2 indexed citations
3.
Xia, Min, et al.. (2025). Interactive and Supervised Dual-Mode Attention Network for Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18. 7 indexed citations
4.
Yao, Xu, Min Xia, Kai Hu, Sihang Zhou, & Liguo Weng. (2025). Style Transfer Review: Traditional Machine Learning to Deep Learning. Information. 16(2). 157–157. 1 indexed citations
5.
Lu, Chenxi, et al.. (2024). A novel trend and periodic characteristics enhanced decoupling framework for multi-energy load prediction of regional integrated energy systems. Electric Power Systems Research. 237. 111028–111028. 4 indexed citations
6.
Xia, Min, et al.. (2024). Intelligent identification of power grid parameters based on dynamic weighting. Engineering Applications of Artificial Intelligence. 135. 108822–108822. 2 indexed citations
7.
Hu, Kai, et al.. (2024). Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems. IEEE Internet of Things Journal. 11(23). 38657–38672. 1 indexed citations
8.
Zou, Gang, Min Xia, Liudong Zhang, et al.. (2024). UMGAN: multi-scale graph attention network for grid parameter identification. Electrical Engineering. 107(2). 1397–1410. 1 indexed citations
9.
Zhong-chen, Wang, et al.. (2024). MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images. Remote Sensing. 16(7). 1269–1269. 24 indexed citations
10.
Hu, Kai, et al.. (2024). A review of research on reinforcement learning algorithms for multi-agents. Neurocomputing. 599. 128068–128068. 35 indexed citations
11.
Jiang, Shanshan, et al.. (2024). MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion. Remote Sensing. 16(8). 1387–1387. 28 indexed citations
12.
Hu, Kai, et al.. (2023). A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network. Engineering Applications of Artificial Intelligence. 123. 106196–106196. 34 indexed citations
13.
Ma, Chong, et al.. (2023). Bitemporal Remote Sensing Image Change Detection Network Based on Siamese-Attention Feedback Architecture. Remote Sensing. 15(17). 4186–4186. 5 indexed citations
14.
Xia, Min, et al.. (2023). Local Feature Search Network for Building and Water Segmentation of Remote Sensing Image. Sustainability. 15(4). 3034–3034. 37 indexed citations
15.
Xia, Min, et al.. (2023). MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation. Remote Sensing. 15(19). 4853–4853. 17 indexed citations
16.
Hu, Kai, et al.. (2022). Skeleton Motion Recognition Based on Multi-Scale Deep Spatio-Temporal Features. Applied Sciences. 12(3). 1028–1028. 25 indexed citations
17.
Xia, Min. (2014). Shape analysis of bust slice using Elliptic Fourier. Textile Research Journal. 1 indexed citations
18.
Yang, Kecheng, et al.. (2011). Analysis of uniform illumination system with imperfect Lambertian LEDs. Optica Applicata. 41. 6 indexed citations
19.
Gray, Vivian A., et al.. (2009). The Science of USP 1 and 2 Dissolution: Present Challenges and Future Relevance. Pharmaceutical Research. 26(6). 1289–1302. 91 indexed citations
20.
Xia, Min. (2003). The Biochemical and Physiological Action of Trace Elements. 1 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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