Chris Ying
Impact in
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- Advanced Neural Network Applications
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- Stochastic Gradient Optimization Techniques
- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Machine Learning and Data Classification
Papers in
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- Image Enhancement Techniques 1
- Video Surveillance and Tracking Methods 1
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- Semiconductor materials and devices 2
- Electrowetting and Microfluidic Technologies 1
- Co-authors
- Cho‐Jui Hsieh (1 shared paper)Kurt Keutzer (1 shared paper)Yang You (1 shared paper)James Weldon Demmel (1 shared paper)Katerina Fragkiadaki (1 shared paper)Andreas Hauser (1 shared paper)Christine Dehm (1 shared paper)F. G. Celii (1 shared paper)
- Journals
- Integrated ferroelectrics (2 papers)Lecture notes in computer science (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Chris Ying
5 papers receiving 54 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 30
- Artificial Intelligence 40
- Hardware and Architecture 7
- Health Information Management 2
- Signal Processing 4
Countries citing papers authored by Chris Ying
This map shows the geographic impact of Chris Ying'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 Chris Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Ying more than expected).
Fields of papers citing papers by Chris Ying
This network shows the impact of papers produced by Chris Ying. 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 Chris Ying. The network helps show where Chris Ying may publish in the future.
Co-authors
The 10 scholars most cited alongside Chris Ying, 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 | 2019 | 49 | |
| 2 | 2018 | 5 | |
| 3 | Voices from the storm : the people of New Orleans on Hurricane Katrina and its aftermath | 2006 | 3 |
| 4 | 2003 | 2 | |
| 5 | 2001 | 2 |
About Chris Ying
Chris Ying is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Sociology and Political Science, having authored 5 papers that have together received 61 indexed citations. Recurring topics across this work include Semiconductor materials and devices (2 papers), Image Enhancement Techniques (1 paper), Adversarial Robustness in Machine Learning (1 paper), Electrowetting and Microfluidic Technologies (1 paper), Disaster Management and Resilience (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (30 citations), Artificial Intelligence (40 citations), Hardware and Architecture (7 citations), Health Information Management (2 citations) and Signal Processing (4 citations). Chris Ying has collaborated with scholars based in United States and Germany. Frequent co-authors include Cho‐Jui Hsieh, Kurt Keutzer, Yang You, James Weldon Demmel, Katerina Fragkiadaki, Andreas Hauser, Christine Dehm, F. G. Celii, Ajay Kumar and Scott R. Summerfelt. Their work appears in journals such as Integrated ferroelectrics, Lecture notes in computer science and Medical Entomology and Zoology.
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.