Chunbo Lang
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Remote-Sensing Image Classification 11
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- Advanced Neural Network Applications 13
- Advanced Image and Video Retrieval Techniques 12
- Image Enhancement Techniques 5
Chunbo Lang
38 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Media Technology 622
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 252
- Industrial and Manufacturing Engineering 138
Countries citing papers authored by Chunbo Lang
This map shows the geographic impact of Chunbo Lang'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 Chunbo Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunbo Lang more than expected).
Fields of papers citing papers by Chunbo Lang
This network shows the impact of papers produced by Chunbo Lang. 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 Chunbo Lang. The network helps show where Chunbo Lang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chunbo Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 14 | |
| 8 | 2023 | 60 | |
| 9 | 2023 | 56 | |
| 10 | 2023 | 19 | |
| 11 | Base and Meta: A New Perspective on Few-Shot Segmentation Hit paper breakdown → | 2023 | 107 |
| 12 | 2023 | 64 | |
| 13 | 2022 | 109 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 126 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 167 | |
| 18 | 2019 | 42 | |
| 19 | 2019 | 165 | |
| 20 | 2019 | 61 |
About Chunbo Lang
Chunbo Lang is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Atmospheric Science, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Domain Adaptation and Few-Shot Learning (12 papers), Remote-Sensing Image Classification (11 papers), Metaheuristic Optimization Algorithms Research (10 papers), Image Enhancement Techniques (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Media Technology (622 citations), Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.1k citations), Computational Theory and Mathematics (252 citations) and Industrial and Manufacturing Engineering (138 citations). Chunbo Lang has collaborated with scholars based in China and Mexico. Frequent co-authors include Heming Jia, Gong Cheng, Junwei Han, Xiaoxu Peng, Binfei Tu, Xingxing Xie, Wenlong Song, Ke Li, Yanqing Yao and Diego Oliva. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.