Bing Tu

3.7k total citations · 2 hit papers
157 papers, 2.8k citations indexed

About

Bing Tu is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bing Tu has authored 157 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Media Technology, 58 papers in Atmospheric Science and 35 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bing Tu's work include Remote-Sensing Image Classification (82 papers), Remote Sensing and Land Use (55 papers) and Advanced Image Fusion Techniques (33 papers). Bing Tu is often cited by papers focused on Remote-Sensing Image Classification (82 papers), Remote Sensing and Land Use (55 papers) and Advanced Image Fusion Techniques (33 papers). Bing Tu collaborates with scholars based in China, Spain and United States. Bing Tu's co-authors include Guoyun Zhang, Antonio Plaza, Xianfeng Ou, Chengle Zhou, Yishu Peng, Jun Li, Xianchang Yang, Qianming Li, Jinping Wang and Zhi Fang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Bing Tu

147 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NCGLF2: Network combining global and local features for fusion of multisource remote sensing data

2023 89 citations Bing Tu, Jun Li et al. profile →
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification

2024 50 citations Bing Tu, Bo Liu et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Tu China	32	1.7k	926	717	396	271	157	2.8k
Jiasong Zhu China	28	1.0k 0.6×	720 0.8×	648 0.9×	210 0.5×	144 0.5×	93	2.5k
Shunping Ji China	28	2.1k 1.3×	1.1k 1.1×	1.4k 1.9×	464 1.2×	117 0.4×	90	4.3k
Xinyu Wang China	24	1.6k 0.9×	774 0.8×	605 0.8×	297 0.8×	151 0.6×	96	2.5k
Tatyana V. Bandos Spain	9	936 0.6×	697 0.8×	395 0.6×	166 0.4×	196 0.7×	17	1.5k
Haikel Alhichri Saudi Arabia	24	815 0.5×	320 0.3×	869 1.2×	624 1.6×	82 0.3×	71	2.6k
Feng Gao China	26	1.4k 0.8×	704 0.8×	1.1k 1.6×	364 0.9×	49 0.2×	194	3.0k
Zilong Zhong Canada	11	1.8k 1.0×	1.2k 1.3×	736 1.0×	245 0.6×	49 0.2×	18	2.6k
Jian Kang China	22	946 0.6×	392 0.4×	736 1.0×	228 0.6×	55 0.2×	91	2.1k
Bertrand Le Saux Italy	25	1.6k 1.0×	822 0.9×	1.0k 1.4×	620 1.6×	47 0.2×	97	3.4k
Ailong Ma China	31	2.0k 1.2×	906 1.0×	1.3k 1.8×	561 1.4×	55 0.2×	109	3.5k

Countries citing papers authored by Bing Tu

Since Specialization

Citations

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

Fields of papers citing papers by Bing Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Tu. A scholar is included among the top collaborators of Bing Tu 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 Tu. Bing Tu 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

Fang, Bin & Bing Tu. (2025). Numerical analysis of the eccentric compression performance of concrete-encased CFST long columns with two-stage initial stresses. Structures. 73. 108308–108308. 2 indexed citations

Xian, Fenglin, et al.. (2025). Three-Dimensional Complex Point Spread Function Reconstruction via Multi-Image Phase Retrieval in the Frequency Domain. IEEE Transactions on Instrumentation and Measurement. 74. 1–8. 1 indexed citations

He, Wei, et al.. (2025). GSINet: Gradual Semantic Interaction Network for Remote Sensing Object Detection Based on Dual Attention Mechanism. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 11877–11891.

Chen, Yunyun, et al.. (2024). Exploration of moiré tomography in spatial distribution measurement of wind velocity. Optics and Lasers in Engineering. 184. 108579–108579. 1 indexed citations

He, Wei, et al.. (2024). Break the Shackles of Background: UAV Tracking Based on Eccentric Loss and Adaptive Search. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 2 indexed citations

Tu, Bing, et al.. (2024). Hybrid Multiscale Spatial–Spectral Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 15 indexed citations

Tu, Bing, et al.. (2024). Hyperspectral Anomaly Detection via Anchor Generation. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 1 indexed citations

Tu, Bing, et al.. (2024). Hyperspectral Image Classification via Multiscale Multiangle Attention Network. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 14 indexed citations

Yan, Ming, et al.. (2023). Microstructure and mechanical properties of surface coating prepared on grade 2 titanium by Ni-B composite electroplating and laser cladding. Optics & Laser Technology. 164. 109498–109498. 13 indexed citations

10.

Tian, Yang, Bing Tu, Stephen Kershaw, et al.. (2023). Back-reef and lagoonal communities, Givetian (Middle Devonian) in Guangdong, South China: Their role in global Devonian reef development. Palaeogeography Palaeoclimatology Palaeoecology. 633. 111901–111901. 2 indexed citations

11.

Song, Peng, et al.. (2023). Laser cladding of electroplated Ni-WC on surface of TA2：microstructure and mechanical properties. Journal of Alloys and Compounds. 967. 171715–171715. 14 indexed citations

12.

Peng, Yishu, Yaru Liu, Bing Tu, & Yuwen Zhang. (2023). Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1335–1349. 36 indexed citations

13.

Zhou, Chengle, et al.. (2023). Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection. CAAI Transactions on Intelligence Technology. 8(4). 1237–1257. 25 indexed citations

14.

Tu, Bing, Xianchang Yang, Wei He, Jun Li, & Antonio Plaza. (2023). Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 8358–8372. 54 indexed citations

15.

Tu, Bing, et al.. (2022). Hyperspectral Anomaly Detection Using Quantum Potential Clustering. IEEE Transactions on Instrumentation and Measurement. 71. 1–13. 13 indexed citations

16.

Peng, Yishu, Yuwen Zhang, Bing Tu, Chengle Zhou, & Qianming Li. (2022). Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 1454–1469. 20 indexed citations

17.

Tu, Bing, et al.. (2022). Hyperspectral Image Classification with IFormer Network Feature Extraction. Remote Sensing. 14(19). 4866–4866. 16 indexed citations

18.

Tu, Bing, et al.. (2021). Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification. IEEE Transactions on Instrumentation and Measurement. 70. 1–16. 27 indexed citations

19.

Tu, Bing, et al.. (2021). Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification. IEEE Transactions on Instrumentation and Measurement. 70. 1–16. 17 indexed citations

20.

Tu, Bing, et al.. (2020). Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(12). 10503–10518. 20 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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