Qing Ping
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Generative Adversarial Networks and Image Synthesis
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Video Analysis and Summarization 4
- Data Visualization and Analytics 3
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 2
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 2
- Advanced Text Analysis Techniques 2
- Topic Modeling 2
- Co-authors
- Chaomei Chen (4 shared papers)Jiangen He (2 shared papers)Prem Natarajan (2 shared papers)Christopher C. Yang (2 shared papers)Edward H. Ip (2 shared papers)Nancy E. Avis (2 shared papers)Feng Gao (1 shared paper)Ying Wu (1 shared paper)
- Journals
- Journal of the Association for Information Science and Technology (2 papers)BMC Bioinformatics (1 paper)Scientometrics (1 paper)Quality of Life Research (1 paper)World Wide Web (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Qing Ping
16 papers receiving 286 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 107
- Artificial Intelligence 94
- Health Informatics 2
- Library and Information Sciences 2
- Computer Graphics and Computer-Aided Design 4
Countries citing papers authored by Qing Ping
This map shows the geographic impact of Qing Ping'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 Qing Ping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Ping more than expected).
Fields of papers citing papers by Qing Ping
This network shows the impact of papers produced by Qing Ping. 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 Qing Ping. The network helps show where Qing Ping may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Ping, 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 | 2017 | 68 | |
| 2 | 2022 | 49 | |
| 3 | 2015 | 32 | |
| 4 | 2017 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2016 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 1 | |
| 16 | 2022 | 1 |
About Qing Ping
Qing Ping is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Molecular Biology and Health, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Video Analysis and Summarization (4 papers), Data Visualization and Analytics (3 papers), Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Text Analysis Techniques (2 papers), Topic Modeling (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (107 citations), Artificial Intelligence (94 citations), Health Informatics (2 citations), Library and Information Sciences (2 citations) and Computer Graphics and Computer-Aided Design (4 citations). Qing Ping has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chaomei Chen, Jiangen He, Prem Natarajan, Christopher C. Yang, Edward H. Ip, Nancy E. Avis, Feng Gao, Ying Wu, Xiwei Tang and Xiaohua Hu. Their work appears in journals such as Journal of the Association for Information Science and Technology, BMC Bioinformatics, Scientometrics, Quality of Life Research and World Wide Web.
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.