Min Yang

1.8k total citations
102 papers, 1.3k citations indexed

About

Min Yang is a scholar working on Ocean Engineering, Geography, Planning and Development and Computer Vision and Pattern Recognition. According to data from OpenAlex, Min Yang has authored 102 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ocean Engineering, 23 papers in Geography, Planning and Development and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Min Yang's work include Geographic Information Systems Studies (23 papers), Automated Road and Building Extraction (21 papers) and Data Management and Algorithms (12 papers). Min Yang is often cited by papers focused on Geographic Information Systems Studies (23 papers), Automated Road and Building Extraction (21 papers) and Data Management and Algorithms (12 papers). Min Yang collaborates with scholars based in China, Germany and Singapore. Min Yang's co-authors include Tinghua Ai, Xiongfeng Yan, Xiaohua Tong, Pengcheng Liu, Huafei Yu, Jingzhong Li, Qi Zhou, Xiang Zhang, Qijie Zhai and Changjiang Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Min Yang

94 papers receiving 1.3k citations

Peers

Min Yang

GPD

CVPR

GPC

Xiong You China

Wenhang Li China

Ronny Hänsch Germany

Weijia Li China

Thomas Esch Germany

Liang Cheng China

Chenyu Li China

Conghui He China

Zenghui Zhang China

Xiong You China

Min Yang

64 ×0.2

88 ×0.2

GPD

470 ×2.0

CVPR

29 ×0.1

58 ×0.3

GPC

Citations per year, relative to Min Yang Min Yang (= 1×) peers Xiong You

Countries citing papers authored by Min Yang

Since Specialization

Citations

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

Fields of papers citing papers by Min Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Min, Jirui Hou, Tuo Liang, et al.. (2024). Towards in-depth profile control using s-MPG synergy with MSRG in fractured-vuggy carbonate reservoirs. Petroleum Science. 22(1). 324–337. 2 indexed citations

Ai, Tinghua, et al.. (2024). A graph-based neural network approach to integrate multi-source data for urban building function classification. Computers Environment and Urban Systems. 110. 102094–102094. 27 indexed citations

Tan, Chengxiang, et al.. (2024). Type-Enhanced Ensemble Triple Representation via Triple-Aware Attention for Cross-Lingual Entity Alignment. IEICE Transactions on Information and Systems. E107.D(9). 1182–1191. 1 indexed citations

Yan, Xiongfeng & Min Yang. (2023). A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints. Cartography and Geographic Information Science. 51(1). 79–96. 13 indexed citations

Yu, Huafei, Tinghua Ai, Min Yang, Weiming Huang, & Lars Harrie. (2023). A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation. International Journal of Digital Earth. 16(1). 1828–1852. 10 indexed citations

Yang, Min, et al.. (2023). Classification of urban interchange patterns using a model combining shape context descriptor and graph convolutional neural network. Geo-spatial Information Science. 27(5). 1622–1637. 8 indexed citations

Yan, Xiongfeng & Min Yang. (2022). A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects. ISPRS International Journal of Geo-Information. 11(10). 527–527. 6 indexed citations

Yang, Min, et al.. (2022). Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor. ISPRS International Journal of Geo-Information. 11(9). 461–461. 8 indexed citations

Yu, Huafei, et al.. (2022). A Long Short-Term Memory-Based Approach for Detecting Turns and Generating Road Intersections from Vehicle Trajectories. Sensors. 22(18). 6997–6997. 4 indexed citations

10.

Wang, Lu, et al.. (2022). A hexagon-based method for polygon generalization using morphological operators. International Journal of Geographical Information Systems. 37(1). 88–117. 6 indexed citations

11.

Chen, Zhiming, Guoning Chen, Jingcheng Huang, et al.. (2021). A portable three-channel data collector for Chinese medicine pulses. Sensors and Actuators A Physical. 323. 112669–112669. 6 indexed citations

12.

Yang, Min, et al.. (2021). A hybrid approach to building simplification with an evaluator from a backpropagation neural network. International Journal of Geographical Information Systems. 36(2). 280–309. 32 indexed citations

13.

Yang, Min, Xiongfeng Yan, Xiang Zhang, & Xingong Li. (2019). Constrained trajectory simplification with speed preservation. Cartography and Geographic Information Science. 47(2). 110–124. 6 indexed citations

14.

Yang, Min, Tinghua Ai, Xiongfeng Yan, Yuanyuan Chen, & Xiang Zhang. (2018). A map‐algebra‐based method for automatic change detection and spatial data updating across multiple scales. Transactions in GIS. 22(2). 435–454. 17 indexed citations

15.

Huang, Lina, Tinghua Ai, Peter van Oosterom, Xiongfeng Yan, & Min Yang. (2017). A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data. ISPRS International Journal of Geo-Information. 6(7). 218–218. 6 indexed citations

16.

Yan, Xiongfeng, Tinghua Ai, & Min Yang. (2016). A Simplification of Residential Feature by the Shape Cognition and Template Matching Method. SHILAP Revista de lepidopterología. 12 indexed citations

17.

Ai, Tinghua, et al.. (2016). Envelope generation and simplification of polylines using Delaunay triangulation. International Journal of Geographical Information Systems. 31(2). 297–319. 54 indexed citations

18.

Yang, Min, et al.. (2016). Change Detection and Updating by Using Map Overlay for Buildings on Multi-scale Maps. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Mustafa, Rashed, Min Yang, & Dingju Zhu. (2014). Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier. The Scientific World JOURNAL. 2014. 1–6. 9 indexed citations

20.

Yang, Min. (2014). Speciation and control technologies of sodium in high-sodium coal. Clean Coal Technology. 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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