Liang Peng
-
- Thermal Radiation and Cooling Technologies 8
- Polymers and Plastics top 5%
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- Advanced Image and Video Retrieval Techniques 14
- Advanced Neural Network Applications 12
- Video Surveillance and Tracking Methods 8
- Image Retrieval and Classification Techniques 7
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 9
- Domain Adaptation and Few-Shot Learning 7
- Computational Mathematics top 10%
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- Urban Heat Island Mitigation 4
- Cited by
- Civil and Structural EngineeringPolymers and PlasticsComputer Vision and Pattern Recognition
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liang Peng
90 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Civil and Structural Engineering 728
- Polymers and Plastics 332
- Computer Vision and Pattern Recognition 469
- Artificial Intelligence 586
- Computational Mathematics 10
Countries citing papers authored by Liang Peng
This map shows the geographic impact of Liang Peng'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 Liang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Peng more than expected).
Fields of papers citing papers by Liang Peng
This network shows the impact of papers produced by Liang Peng. 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 Liang Peng. The network helps show where Liang Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Peng, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 19 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 13 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 49 | |
| 15 | 2022 | 40 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 0 | |
| 18 | 2020 | 19 | |
| 19 | BMC@MediaEval 2017 multimedia satellite task via regression random forest | 2017 | 9 |
| 20 | Slagging diagnosis of boiler based on wavelet packet analysis and support vector machine | 2016 | 2 |
About Liang Peng
Liang Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Advanced Neural Network Applications (12 papers), Advanced Graph Neural Networks (9 papers), Thermal Radiation and Cooling Technologies (8 papers), Video Surveillance and Tracking Methods (8 papers), Image Retrieval and Classification Techniques (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Urban Heat Island Mitigation (4 papers). The work is most often cited by research in Civil and Structural Engineering (728 citations), Polymers and Plastics (332 citations) and Computer Vision and Pattern Recognition (469 citations). Liang Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dongqing Liu, Xiaofeng Zhu, Haifeng Cheng, Mei Zu, Jie Xu, Yazhou Ren, Mingyang Li, Xiaoshuang Shi, Shen Zhou and Yujie Mo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Chemistry of Materials.
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.