Bing Tu

147 papers receiving 2.8k citations

Hit Papers

3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification 2024 · 50 citations
502023202620242025255075

Peers

Bing Tu
Comparison fields: 5 of 131
  • Media Technology 1.7k
  • Atmospheric Science 926
  • Computer Vision and Pattern Recognition 717
  • Analytical Chemistry 150
  • Building and Construction 170
Replace Jiasong Zhu with:
Jiasong Zhu China
Shunping Ji China
Chao Tao China
Bertrand Le Saux Italy
Farhad Samadzadegan Iran
Feng Gao China
Ailong Ma China
Tatyana V. Bandos Spain
Jian Kang China
Zilong Zhong Canada
Bing Tu relative to Jiasong Zhu China Jiasong Zhu's profile →
Citations per field
00.5×4.3×
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 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201990
3
NCGLF2: Network combining global and local features for fusion of multisource remote sensing data
Hit paper breakdown →
202389
4 201882
5 202279
6 201877
7 201977
8 202075
9 201873
10 202268
11 201965
12 201760
13 202258
14 202354
15
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification
Hit paper breakdown →
202450
16 202048
17 201847
18 201947
19 202445
20 202044

About Bing Tu

Bing Tu is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Geology and Paleontology, having authored 157 papers that have together received 2.8k 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 (1.7k citations), Atmospheric Science (926 citations), Computer Vision and Pattern Recognition (717 citations), Analytical Chemistry (150 citations) and Building and Construction (170 citations). Bing Tu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Guoyun Zhang, Antonio Plaza, Xianfeng Ou, Chengle Zhou, 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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