Bin Yang

4.9k total citations · 3 hit papers
121 papers, 3.8k citations indexed

About

Bin Yang is a scholar working on Ecology, Media Technology and Atmospheric Science. According to data from OpenAlex, Bin Yang has authored 121 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, 28 papers in Media Technology and 25 papers in Atmospheric Science. Recurrent topics in Bin Yang's work include Remote Sensing in Agriculture (30 papers), Remote Sensing and Land Use (20 papers) and Remote-Sensing Image Classification (20 papers). Bin Yang is often cited by papers focused on Remote Sensing in Agriculture (30 papers), Remote Sensing and Land Use (20 papers) and Remote-Sensing Image Classification (20 papers). Bin Yang collaborates with scholars based in China, United States and Finland. Bin Yang's co-authors include Shutao Li, Jianwen Hu, Yuri Knyazikhin, Kai Yan, Taejin Park, Chi Chen, Ranga B. Myneni, Guangjian Yan, Zhao Liu and Ramakrishna Nemani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Hazardous Materials.

In The Last Decade

Bin Yang

114 papers receiving 3.7k citations

Hit Papers

Multifocus Image Fusion and Restoration With Sparse Repre... 2009 2026 2014 2020 2009 2010 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Yang China 26 2.1k 1.5k 808 653 592 121 3.8k
Jonathan Cheung-Wai Chan Belgium 41 3.2k 1.5× 2.2k 1.5× 982 1.2× 537 0.8× 301 0.5× 133 5.7k
Roger L. King United States 23 1.2k 0.6× 810 0.5× 422 0.5× 220 0.3× 166 0.3× 87 2.4k
Shunping Ji China 28 2.1k 1.0× 1.4k 0.9× 777 1.0× 432 0.7× 453 0.8× 90 4.3k
Xiangchao Meng China 30 2.5k 1.2× 1.8k 1.2× 524 0.6× 288 0.4× 306 0.5× 117 3.6k
Xiwen Yao China 34 2.9k 1.4× 3.5k 2.3× 337 0.4× 161 0.2× 781 1.3× 76 5.3k
Yuliya Tarabalka France 23 3.9k 1.9× 1.5k 1.0× 975 1.2× 348 0.5× 173 0.3× 55 5.3k
Wei Han China 27 806 0.4× 653 0.4× 477 0.6× 339 0.5× 148 0.3× 106 2.2k
C.A. Hecker Netherlands 27 1.6k 0.8× 250 0.2× 465 0.6× 299 0.5× 187 0.3× 69 3.2k

Countries citing papers authored by Bin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Yang. A scholar is included among the top collaborators of Bin 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 Bin Yang. Bin Yang 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.
Wu, Junen, Bin Yang, Cheng Feng, et al.. (2024). Decoding lake water dynamics to optimize watershed agriculture through isotopic analyses of memory effects and hydrological connectivity. Ecological Indicators. 169. 112826–112826. 1 indexed citations
2.
Yang, Bin, et al.. (2024). Novel scoring system for predicting stone-free rate after flexible ureteroscopy lithotripsy. Medicine. 103(44). e40390–e40390.
3.
Li, Hui, et al.. (2024). All in One: A Unified Network for Hyperspectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 7 indexed citations
4.
Yang, Bin, et al.. (2024). Temporal Information Enhanced Graph Convolutional Network With Superpixel-Pixel Gated Knowledge Dynamic Selection for Change Detection in Satellite Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18399–18412. 3 indexed citations
5.
Yang, Bin, et al.. (2024). CEFusion: An Infrared and Visible Image Fusion Network Based on Cross-Modal Multi-Granularity Information Interaction and Edge Guidance. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17794–17809. 24 indexed citations
6.
Yang, Bin, et al.. (2024). Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network. IEEE Transactions on Image Processing. 33. 5098–5113. 11 indexed citations
7.
Yang, Bin, et al.. (2023). Identifying plant disease and severity from leaves: A deep multitask learning framework using triple-branch Swin Transformer and deep supervision. Computers and Electronics in Agriculture. 209. 107809–107809. 31 indexed citations
8.
Yang, Bin, et al.. (2022). PPCE: A Practical Loss for Crop Mapping Using Phenological Prior. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations
9.
Deng, Ziming, et al.. (2022). Multi-Timescale Analysis of the Evolution of Sandy Coastline: A Case Study in South China. Journal of Marine Science and Engineering. 10(11). 1609–1609. 6 indexed citations
10.
Yan, Lei, et al.. (2020). Degree of Linear Polarization of Land Surfaces: Analyses Using POLDER/PARASOL Measurements. IEEE Access. 8. 200561–200572. 2 indexed citations
11.
Yang, Bin, et al.. (2020). A simple method for estimation of leaf dry matter content in fresh leaves using leaf scattering albedo. Global Ecology and Conservation. 23. e01201–e01201. 10 indexed citations
12.
Knyazikhin, Yuri, Wanjuan Song, Bin Yang, et al.. (2019). Vegetation Earth System Data Record from DSCOVR EPIC Observation: Product Description and Analyses. 1 indexed citations
13.
Liao, Yi-Wen, et al.. (2019). Deep One-Class Classification Using Data Splitting.. arXiv (Cornell University). 3 indexed citations
14.
Song, Wanjuan, Yuri Knyazikhin, Guoyong Wen, et al.. (2018). Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth’s Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations. Remote Sensing. 10(10). 1594–1594. 18 indexed citations
15.
Yan, Kai, Taejin Park, Chi Chen, et al.. (2018). Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation. IEEE Transactions on Geoscience and Remote Sensing. 56(4). 2119–2137. 92 indexed citations
16.
Yan, Kai, Taejin Park, Guangjian Yan, et al.. (2016). Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements. Remote Sensing. 8(5). 359–359. 179 indexed citations
17.
Yan, Kai, Taejin Park, Guangjian Yan, et al.. (2016). Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison. Remote Sensing. 8(6). 460–460. 239 indexed citations
18.
Yang, Bin. (2011). Research on Large-scale Project Portfolio Management Model Based on Cooperative Co-evolutionary Genetic Algorithm. Ke-ji guanli yanjiu. 1 indexed citations
19.
Yang, Bin & Shutao Li. (2009). Multifocus Image Fusion and Restoration With Sparse Representation. IEEE Transactions on Instrumentation and Measurement. 59(4). 884–892. 578 indexed citations breakdown →
20.
Yang, Bin & Shutao Li. (2007). Multi-focus image fusion based on spatial frequency and morphological operators. Chinese Optics Letters. 5(8). 452–453. 24 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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