Yang An
Impact in
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- Context-Aware Activity Recognition Systems
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 10
- Cryptography and Data Security 6
-
- Epigenetics and DNA Methylation 5
- Co-authors
- Karttikeya Mangalam (1 shared paper)Jitendra Malik (1 shared paper)Sujian Li (5 shared papers)Huaijun Wang (4 shared papers)Kan Wang (3 shared papers)Hong Wang (1 shared paper)R.J. Kuo (1 shared paper)Ling Tian (2 shared papers)
- Journals
- IEEE Transactions on Information Theory (3 papers)Biomedical Chromatography (3 papers)Development Growth & Differentiation (2 papers)Electronics (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yang An
92 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 349
- Artificial Intelligence 476
- Automotive Engineering 149
- Cancer Research 114
- Safety, Risk, Reliability and Quality 71
Countries citing papers authored by Yang An
This map shows the geographic impact of Yang An'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 Yang An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang An more than expected).
Fields of papers citing papers by Yang An
This network shows the impact of papers produced by Yang An. 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 Yang An. The network helps show where Yang An may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 195 | |
| 2 | 2019 | 96 | |
| 3 | 2020 | 87 | |
| 4 | 2005 | 79 | |
| 5 | 2019 | 62 | |
| 6 | 2013 | 57 | |
| 7 | 2022 | 54 | |
| 8 | 2015 | 43 | |
| 9 | 2021 | 37 | |
| 10 | 2018 | 35 | |
| 11 | 2022 | 32 | |
| 12 | 2018 | 29 | |
| 13 | 2018 | 28 | |
| 14 | 2011 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2023 | 25 | |
| 19 | 2021 | 25 | |
| 20 | 2018 | 25 |
About Yang An
Yang An is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Information Systems and Cancer Research, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (8 papers), Cryptography and Data Security (6 papers), Epigenetics and DNA Methylation (5 papers), Complexity and Algorithms in Graphs (5 papers), Cancer-related molecular mechanisms research (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Artificial Intelligence (476 citations), Automotive Engineering (149 citations), Cancer Research (114 citations) and Safety, Risk, Reliability and Quality (71 citations). Yang An has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Karttikeya Mangalam, Jitendra Malik, Sujian Li, Huaijun Wang, Kan Wang, Hong Wang, R.J. Kuo, Ling Tian, Carles Padró and Jing Liu. Their work appears in journals such as IEEE Transactions on Information Theory, Biomedical Chromatography, Development Growth & Differentiation, Electronics and BMC Medical Informatics and Decision Making.
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.