Bing Tu

151 papers receiving 2.9k citations

Bing Tu's Hit Papers

3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification 2024 · 56 citations
560+1+2Years since publication255075100

Peers

Bing Tu
Comparison fields: 5 of 126
  • Media Technology 1.8k
  • Atmospheric Science 949
  • Computer Vision and Pattern Recognition 733
  • Analytical Chemistry 157
  • Civil and Structural Engineering 276
Replace Jiasong Zhu with:
Jiasong Zhu China
Shunping Ji China
Bertrand Le Saux Italy
Zilong Zhong Canada
Feng Gao China
Tatyana V. Bandos Spain
Farhad Samadzadegan Iran
Chao Tao China
Ailong Ma China
Xinyu Wang China
Bing Tu relative to Jiasong Zhu China Jiasong Zhu's profile →
Citations per field
00.5×2.8×
Jiasong Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bing Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Tu Line = papers co-authored together Bing Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NCGLF2: Network combining global and local features for fusion of multisource remote sensing data
Hit paper breakdown →
2023100
2 201991
3 201390
4 202285
5 201885
6 201978
7 201878
8 202076
9 201873
10 202269
11 201966
12 202261
13 201761
14 202356
15
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Hit paper breakdown →
202456
16 202454
17 202453
18 202049
19 201948
20 201847

About Bing Tu

Bing Tu is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Mechanical Engineering and Biomedical Engineering, having authored 158 papers that have together received 3.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (82 papers), Remote Sensing and Land Use (55 papers), Advanced Image Fusion Techniques (33 papers), Advanced Chemical Sensor Technologies (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Face and Expression Recognition (11 papers), Video Surveillance and Tracking Methods (10 papers) and Structural Behavior of Reinforced Concrete (8 papers). The work is most often cited by research in Media Technology (1.8k citations), Atmospheric Science (949 citations), Computer Vision and Pattern Recognition (733 citations), Analytical Chemistry (157 citations) and Civil and Structural Engineering (276 citations). Bing Tu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Antonio Plaza, Guoyun Zhang, Chengle Zhou, Xianfeng Ou, Yishu Peng, Jun Li, Xianchang Yang, Qianming Li, Jinping Wang and Zhi Fang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Instrumentation and Measurement, Journal of Visual Communication and Image Representation and Remote Sensing.

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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