Yang Song
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Soil Science top 5%
- Soil erosion and sediment transport
Papers in
-
- Recommender Systems and Techniques 31
-
- Advanced Graph Neural Networks 16
- Topic Modeling 12
- Co-authors
- Jianxin Chang (7 shared papers)Yanan Niu (6 shared papers)Depeng Jin (4 shared papers)Yu Zheng (4 shared papers)Chen Gao (4 shared papers)Yiqun Hui (3 shared papers)Yong Li (1 shared paper)Ping Yan (3 shared papers)
- Journals
- Journal of Geographical Sciences (5 papers)Transactions of Tianjin University (2 papers)Knowledge-Based Systems (2 papers)Journal of Translational Medicine (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yang Song
83 papers receiving 1.5k citations
Yang Song's Hit Papers
Peers
Comparison fields: 5 of 144
- Information Systems 607
- Soil Science 223
- Earth-Surface Processes 142
- Artificial Intelligence 568
- Metals and Alloys 41
Countries citing papers authored by Yang Song
This map shows the geographic impact of Yang Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Song more than expected).
Fields of papers citing papers by Yang Song
This network shows the impact of papers produced by Yang Song. 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 Song. The network helps show where Yang Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Song, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sequential Recommendation with Graph Neural Networks Hit paper breakdown → | 2021 | 255 |
| 2 | Topical Keyphrase Extraction from Twitter | 2011 | 131 |
| 3 | 2016 | 92 | |
| 4 | 2022 | 61 | |
| 5 | 2005 | 60 | |
| 6 | 2023 | 52 | |
| 7 | 2006 | 45 | |
| 8 | 2005 | 44 | |
| 9 | 2018 | 42 | |
| 10 | 2023 | 39 | |
| 11 | 2020 | 38 | |
| 12 | 2022 | 36 | |
| 13 | 2011 | 36 | |
| 14 | 2021 | 33 | |
| 15 | 2023 | 31 | |
| 16 | 2012 | 30 | |
| 17 | 2022 | 24 | |
| 18 | 2021 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2023 | 21 |
About Yang Song
Yang Song is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Networks and Communications, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (31 papers), Advanced Graph Neural Networks (16 papers), Topic Modeling (12 papers), Advanced Bandit Algorithms Research (12 papers), Aeolian processes and effects (7 papers), Soil erosion and sediment transport (6 papers), Image Retrieval and Classification Techniques (6 papers) and Non-Destructive Testing Techniques (4 papers). The work is most often cited by research in Information Systems (607 citations), Soil Science (223 citations), Earth-Surface Processes (142 citations), Artificial Intelligence (568 citations) and Metals and Alloys (41 citations). Yang Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianxin Chang, Yanan Niu, Depeng Jin, Yu Zheng, Chen Gao, Yiqun Hui, Yong Li, Ping Yan, Lianyou Liu and Changshan Wu. Their work appears in journals such as Journal of Geographical Sciences, Transactions of Tianjin University, Knowledge-Based Systems, Journal of Translational Medicine and Scientific Reports.
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.