Yue Liu
- Media Technology top 1%
- Remote-Sensing Image Classification 17
- Environmental Engineering top 2%
- Soil Geostatistics and Mapping 18
- Artificial Intelligence top 1%
- Geochemistry and Geologic Mapping 43
- Topic Modeling 9
- Pollution top 5%
- Molecular Medicine top 10%
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- Advanced SAR Imaging Techniques 10
- Synthetic Aperture Radar (SAR) Applications and Techniques 9
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- Geological and Geochemical Analysis 10
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- Hydrocarbon exploration and reservoir analysis 9
Yue Liu
148 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Media Technology 341
- Environmental Engineering 398
- Artificial Intelligence 871
- Pollution 200
- Molecular Medicine 61
Countries citing papers authored by Yue Liu
This map shows the geographic impact of Yue Liu'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 Yue Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Liu more than expected).
Fields of papers citing papers by Yue Liu
This network shows the impact of papers produced by Yue Liu. 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 Yue Liu. The network helps show where Yue Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yue Liu, 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 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 50 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 2 | |
| 12 | Integrating microbial community properties, biomass and necromass to predict cropland soil organic carbonbreakdown → | 2023 | 81 |
| 13 | Local Causal Network Learning for Finding Pairs of Total and Direct Effects | 2020 | 2 |
| 14 | 2018 | 1 | |
| 15 | ICTNET at Temporal Summarization Track TREC 2013. | 2013 | 4 |
| 16 | ICTNET at Microblog Track TREC 2012. | 2012 | 4 |
| 17 | ICTNET at Web Track 2012 adhoc Task. | 2012 | 1 |
| 18 | ICTNET at Microblog Track TREC 2011 | 2011 | 4 |
| 19 | ICTNET at Web Track 2011 Ad-Hoc Track. | 2011 | 1 |
| 20 | ICTNET at Web Track 2010 Diversity Task | 2009 | 7 |
About Yue Liu
Yue Liu is a scholar working on Artificial Intelligence, Media Technology and Environmental Engineering, having authored 157 papers that have together received 2.5k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (43 papers), Soil Geostatistics and Mapping (18 papers), Remote-Sensing Image Classification (17 papers), Advanced SAR Imaging Techniques (10 papers), Geological and Geochemical Analysis (10 papers), Topic Modeling (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (9 papers). The work is most often cited by research in Media Technology (341 citations), Environmental Engineering (398 citations) and Artificial Intelligence (871 citations). Yue Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qiuming Cheng, Qinglin Xia, Kefa Zhou, Emmanuel John M. Carranza, Xinqing Wang, Robert Wang, Zhenghui Li, Yongfang Zhao, Xueqi Cheng and Rui Xiao. Their work appears in journals such as Natural Resources Research, Electronics, IEEE Geoscience and Remote Sensing Letters, Geochemistry Exploration Environment Analysis and Ore Geology Reviews.
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.