Bing Yang

635 total citations
68 papers, 423 citations indexed

About

Bing Yang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Bing Yang has authored 68 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Bing Yang's work include Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (9 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Bing Yang is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Advanced Image Fusion Techniques (9 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Bing Yang collaborates with scholars based in China, Macao and Australia. Bing Yang's co-authors include Hailiang Ye, Feilong Cao, Hong Li, Tianyu Zhang, Weiwei Sun, Jiangtao Peng, Dan Ye, Yunzhou Zhang, Yuanyan Tang and Guodong Li and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Bing Yang

58 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Yang China 11 134 123 91 62 53 68 423
Wenhong Wang China 10 130 1.0× 230 1.9× 146 1.6× 47 0.8× 18 0.3× 34 623
Shouhong Wan China 11 93 0.7× 152 1.2× 60 0.7× 115 1.9× 55 1.0× 58 360
Lingda Wu China 11 105 0.8× 297 2.4× 42 0.5× 57 0.9× 28 0.5× 119 523
Victor-Emil Neagoe Romania 13 142 1.1× 198 1.6× 171 1.9× 18 0.3× 55 1.0× 71 532
Songfeng Zheng United States 13 40 0.3× 153 1.2× 134 1.5× 123 2.0× 77 1.5× 33 488
D. Androutsos Canada 16 225 1.7× 560 4.6× 100 1.1× 59 1.0× 57 1.1× 43 767
Christian Tenllado Spain 10 110 0.8× 186 1.5× 93 1.0× 170 2.7× 92 1.7× 34 566
Yuwei Guo China 16 167 1.2× 244 2.0× 124 1.4× 30 0.5× 60 1.1× 31 593
Lakshman Prasad United States 13 49 0.4× 201 1.6× 95 1.0× 99 1.6× 27 0.5× 46 456
Xiang Tan China 9 208 1.6× 64 0.5× 55 0.6× 58 0.9× 51 1.0× 15 388

Countries citing papers authored by Bing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Yang. A scholar is included among the top collaborators of Bing 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 Bing Yang. Bing 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.
Yang, Bing, et al.. (2025). Hyperspectral Marine Oil Spill Detection Network With Enhanced Superpixel Segmentation and Attention Mechanisms. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 1 indexed citations
2.
Yang, Bing, Qingsong Yang, Junde Dong, et al.. (2025). Toxicity of 6PPD to the stony coral Pocillopora damicornis in different developmental stages. Journal of Hazardous Materials. 496. 139214–139214.
3.
Huang, Xiaofang, Weiguo Zhou, Yuhang Zhang, et al.. (2024). Keystone PGPR ecological effect: An inoculation case study of diazotrophic Novosphingobium sp. N034 on mangrove plant Kandelia obovate. Applied Soil Ecology. 202. 105567–105567. 6 indexed citations
4.
Cao, Feilong, et al.. (2024). A fast hypergraph neural network with detail preservation for hyperspectral image classification. International Journal of Remote Sensing. 45(9). 3104–3128. 2 indexed citations
5.
Yang, Bing, et al.. (2024). FCFDA: Fine–Coarse–Fine Progressive Graph Framework With Distribution Alignment for Hyperspectral Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 6 indexed citations
6.
Ye, Hailiang, et al.. (2024). Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement. IEEE Journal of Biomedical and Health Informatics. 28(5). 2830–2841. 8 indexed citations
7.
8.
Yang, Bing, Bin Yang, Wenqian Zhang, et al.. (2024). Alleviating Coral Thermal Stress via Inoculation with Quorum Quenching Bacteria. Marine Biotechnology. 26(5). 951–963.
9.
Cao, Feilong, et al.. (2023). Triplet teaching graph contrastive networks with self-evolving adaptive augmentation. Pattern Recognition. 142. 109687–109687. 5 indexed citations
10.
Ye, Hailiang, et al.. (2023). Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting. Expert Systems with Applications. 231. 120700–120700. 7 indexed citations
11.
Liu, Siqi, Hailiang Ye, Bing Yang, Ming Li, & Feilong Cao. (2023). A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation. Medical & Biological Engineering & Computing. 62(2). 537–549.
12.
Yang, Bing, Hailiang Ye, Ming Li, Feilong Cao, & Shirui Pan. (2023). GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 9 indexed citations
13.
Ye, Hailiang, et al.. (2023). An iteration-based interactive attention network for 3D point cloud registration. Neurocomputing. 560. 126822–126822. 9 indexed citations
14.
Zhang, Jian, Qingsong Yang, Weizhong Yue, et al.. (2023). Seagrass Thalassia hemprichii and associated bacteria co-response to the synergistic stress of ocean warming and ocean acidification. Environmental Research. 236(Pt 1). 116658–116658. 8 indexed citations
15.
Yang, Bing, Feilong Cao, & Hailiang Ye. (2022). A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 36 indexed citations
16.
Ye, Hailiang, et al.. (2022). A novel method for point cloud completion: Adaptive region shape fusion network. Knowledge-Based Systems. 255. 109770–109770. 3 indexed citations
17.
Cao, Feilong, et al.. (2022). Revisiting graph neural networks from hybrid regularized graph signal reconstruction. Neural Networks. 157. 444–459. 7 indexed citations
18.
Ye, Hailiang, Hong Li, Bing Yang, Feilong Cao, & Yuanyan Tang. (2019). A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4457–4469. 28 indexed citations
19.
Yang, Bing, et al.. (2011). Law of large numbers under the nonlinear expectation. Proceedings of the American Mathematical Society. 139(10). 3753–3753.
20.

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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