Yang An
Impact in
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- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 10
-
- Multimodal Machine Learning Applications 8
- Co-authors
- Jitendra MalikKarttikeya MangalamSujian LiHuaijun WangKan WangLing TianHong WangR.J. Kuo
- Journals
- Biomedical Chromatography (3 papers)IEEE Transactions on Information Theory (3 papers)Neural Computing and Applications (2 papers)Development Growth & Differentiation (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yang An
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 305
- Artificial Intelligence 396
- Automotive Engineering 131
- Cancer Research 133
- Safety, Risk, Reliability and Quality 63
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 12 | |
| 11 | Exploring Sparse Expert Models and Beyond | 2021 | 4 |
| 12 | 2020 | 5 | |
| 13 | InterBERT: An Effective Multi-Modal Pretraining Approach via Vision-and-Language Interaction | 2020 | 2 |
| 14 | 2019 | 80 | |
| 15 | 2019 | 55 | |
| 16 | 2018 | 25 | |
| 17 | 2017 | 24 | |
| 18 | Domain Ontology Learning Enhanced by Optimized Relation Instance in DBpedia | 2016 | 2 |
| 19 | Design and Comparision of Geo Ontology in GIS | 2006 | 2 |
| 20 | Geo Web Services Description and Discovery Based on Ontology | 2004 | 2 |
About Yang An
Yang An is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cancer Research, Molecular Biology and Geography, Planning and Development, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (10 papers), Multimodal Machine Learning Applications (8 papers), Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (4 papers), Ginseng Biological Effects and Applications (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Artificial Intelligence (396 citations), Automotive Engineering (131 citations), Cancer Research (133 citations) and Safety, Risk, Reliability and Quality (63 citations). Yang An has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jitendra Malik, Karttikeya Mangalam, Sujian Li, Huaijun Wang, Kan Wang, Ling Tian, Hong Wang, R.J. Kuo, Jing Liu and Yajuan Lyu. Their work appears in journals such as Biomedical Chromatography, IEEE Transactions on Information Theory, Neural Computing and Applications, Development Growth & Differentiation 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.