Ping Luo
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
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- Topic Modeling
- Natural Language Processing Techniques
Papers in ⓘ
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- Generative Adversarial Networks and Image Synthesis 2
- Digital Imaging for Blood Diseases 1
- Multimodal Machine Learning Applications 1
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- Mobile and Web Applications 1
- Co-authors
- Jiannan Wu (1 shared paper)Lewei Lu (1 shared paper)Wenhai Wang (1 shared paper)Yifeng Dai (1 shared paper)Guo Chen (1 shared paper)Xizhou Zhu (1 shared paper)Bin Li (1 shared paper)Weijie Su (1 shared paper)
In The Last Decade
Ping Luo
10 papers receiving 130 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 61
- Artificial Intelligence 49
- Computer Graphics and Computer-Aided Design 5
- Signal Processing 14
- Family Practice 2
Countries citing papers authored by Ping Luo
This map shows the geographic impact of Ping Luo'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 Ping Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Luo more than expected).
Fields of papers citing papers by Ping Luo
This network shows the impact of papers produced by Ping Luo. 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 Ping Luo. The network helps show where Ping Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Luo, 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 | Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Hit paper breakdown → | 2024 | 105 |
| 2 | 2020 | 7 | |
| 3 | 2021 | 7 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2012 | 1 |
About Ping Luo
Ping Luo is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 10 papers that have together received 136 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Digital Imaging for Blood Diseases (1 paper), Cell Image Analysis Techniques (1 paper), Mobile and Web Applications (1 paper), Forest, Soil, and Plant Ecology in China (1 paper), Image Processing Techniques and Applications (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (61 citations), Artificial Intelligence (49 citations), Computer Graphics and Computer-Aided Design (5 citations), Signal Processing (14 citations) and Family Practice (2 citations). Ping Luo has collaborated with scholars based in China, Hong Kong and Macao. Frequent co-authors include Jiannan Wu, Lewei Lu, Wenhai Wang, Yifeng Dai, Guo Chen, Xizhou Zhu, Bin Li, Weijie Su, Qinglong Zhang and Sen Xing. Their work appears in journals such as BMJ Open, Electronics, International Journal of Computer Vision, Biomedical Optics Express and International Journal of Information and Computer Security.
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.