Lin Bai

1.4k total citations
92 papers, 1.0k citations indexed

About

Lin Bai is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Lin Bai has authored 92 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Media Technology, 22 papers in Computer Vision and Pattern Recognition and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Lin Bai's work include Remote-Sensing Image Classification (27 papers), Remote Sensing and Land Use (20 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lin Bai is often cited by papers focused on Remote-Sensing Image Classification (27 papers), Remote Sensing and Land Use (20 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lin Bai collaborates with scholars based in China, Australia and United States. Lin Bai's co-authors include Meng Hui, Zhen Ye, Yao Cheng, Qisheng Wu, Kongjun Zhu, Jinhao Qiu, Hongli Ji, Rui Yao, Herbert Ho‐Ching Iu and Qingxin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Lin Bai

88 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lin Bai China 19 212 211 211 203 170 92 1.0k
Desheng Wang China 22 172 0.8× 71 0.3× 613 2.9× 319 1.6× 193 1.1× 88 1.7k
Yue Yu China 16 205 1.0× 45 0.2× 133 0.6× 93 0.5× 103 0.6× 100 1.2k
Zhili Zhang China 21 311 1.5× 762 3.6× 170 0.8× 526 2.6× 157 0.9× 78 2.0k
Jin Li China 21 422 2.0× 261 1.2× 94 0.4× 366 1.8× 104 0.6× 110 1.4k
Guanglei Wang China 16 146 0.7× 38 0.2× 147 0.7× 200 1.0× 106 0.6× 71 1.0k
Xia Wang China 17 82 0.4× 195 0.9× 216 1.0× 333 1.6× 192 1.1× 150 1.0k
Guoqing Li China 15 62 0.3× 185 0.9× 313 1.5× 183 0.9× 37 0.2× 100 963
Chun Liu China 18 158 0.7× 92 0.4× 48 0.2× 177 0.9× 41 0.2× 75 1.4k
Zhiyuan Yan China 22 109 0.5× 530 2.5× 212 1.0× 716 3.5× 325 1.9× 77 1.8k

Countries citing papers authored by Lin Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lin Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Bai. A scholar is included among the top collaborators of Lin Bai 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 Lin Bai. Lin Bai 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.
Zhang, Yanjun, Yuxiang Cheng, Jixiang Guo, et al.. (2024). A novel machine learning approach for reservoir temperature prediction. Geothermics. 125. 103204–103204. 2 indexed citations
2.
Wang, Haijuan, et al.. (2024). FRCFNet: Feature Reassembly and Context Information Fusion Network for Road Extraction. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 8 indexed citations
3.
Shen, Jiaming, et al.. (2024). ELLK-Net: An Efficient Lightweight Large Kernel Network for SAR Ship Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 19 indexed citations
4.
Ye, Zhen, et al.. (2024). Multiscale and Multidirection Feature Extraction Network for Hyperspectral and LiDAR Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9961–9973. 10 indexed citations
5.
Bai, Lin, et al.. (2023). FCA-Net: A Fast Inference and Channel Attention Based Network for Hyperspectral Image Classification. Journal of Physics Conference Series. 2589(1). 12011–12011. 1 indexed citations
6.
7.
Ye, Zhen, et al.. (2023). Local–Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 14 indexed citations
8.
Ye, Zhen, et al.. (2023). Few-Shot Learning Using Residual Channel Attention and Prototype Domain Adaptation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 6 indexed citations
9.
Ye, Zhen, et al.. (2023). Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 11 indexed citations
10.
Bai, Lin, et al.. (2023). A Novel Anchor-Free Detector Using Global Context-Guide Feature Balance Pyramid and United Attention for SAR Ship Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 35 indexed citations
11.
Bai, Lin, et al.. (2023). Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1042–1056. 75 indexed citations
12.
Ye, Zhen, et al.. (2022). Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 4640–4652. 7 indexed citations
13.
Bai, Lin, et al.. (2022). MsanlfNet: Semantic Segmentation Network With Multiscale Attention and Nonlocal Filters for High-Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 21 indexed citations
14.
Bai, Lin, et al.. (2022). Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network With Octave Convolution. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 57 indexed citations
15.
Bai, Lin, et al.. (2021). A Lightweight and Multiscale Network for Remote Sensing Image Scene Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 24 indexed citations
16.
Ye, Zhen, et al.. (2021). Graph-Based Dimensionality Reduction for Hyperspectral Imagery: A Review. Journal of Beijing Institute of Technology. 30(2). 91–112. 2 indexed citations
17.
Ye, Zhen, et al.. (2021). Adjustive decision fusion approaches for hyperspectral image classification. Journal of Image and Graphics. 26(8). 1952–1968. 1 indexed citations
18.
Bai, Lin, et al.. (2018). THE TRANSITION OF COMMON SPACE AREA IN JAPANESE INTENSIVE CARE HOME FOR THE ELDERLY SINCE 1978. Journal of Architecture and Planning (Transactions of AIJ). 83(749). 1183–1192.
19.
Bai, Lin. (2012). Impact of SVM Kernel Function on the Classification Accuracy. 1 indexed citations
20.
Bai, Lin, Mingyi He, & Yuchao Dai. (2008). Lossless compression of hyperspectral images based on 3D context prediction. 1845–1848. 4 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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