Shoujin Wang
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Imbalanced Data Classification Techniques
- Privacy-Preserving Technologies in Data
Papers in
-
- Topic Modeling 34
- Advanced Graph Neural Networks 22
- Natural Language Processing Techniques 9
- Sentiment Analysis and Opinion Mining 6
-
- Recommender Systems and Techniques 45
- Co-authors
- Longbing Cao (16 shared papers)Yan Wang (20 shared papers)Mehmet A. Orgun (10 shared papers)Quan Z. Sheng (10 shared papers)Wei Liu (2 shared papers)Defu Lian (4 shared papers)Liang Hu (9 shared papers)Qinxue Meng (1 shared paper)
- Journals
- Neurocomputing (3 papers)IEEE Intelligent Systems (3 papers)Information Sciences (3 papers)ACM Transactions on Internet Technology (2 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shoujin Wang
84 papers receiving 2.0k citations
Shoujin Wang's Hit Papers
Peers
Comparison fields: 5 of 127
- Information Systems 1.2k
- Artificial Intelligence 1.3k
- Management Science and Operations Research 287
- Computer Vision and Pattern Recognition 425
- Transportation 83
Countries citing papers authored by Shoujin Wang
This map shows the geographic impact of Shoujin Wang'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 Shoujin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoujin Wang more than expected).
Fields of papers citing papers by Shoujin Wang
This network shows the impact of papers produced by Shoujin Wang. 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 Shoujin Wang. The network helps show where Shoujin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoujin Wang, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Training deep neural networks on imbalanced data sets Hit paper breakdown → | 2016 | 313 |
| 2 | A Survey on Session-based Recommender Systems Hit paper breakdown → | 2021 | 299 |
| 3 | 2018 | 168 | |
| 4 | 2021 | 115 | |
| 5 | 2019 | 102 | |
| 6 | 2017 | 68 | |
| 7 | 2020 | 63 | |
| 8 | 2023 | 50 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 45 | |
| 11 | 2017 | 40 | |
| 12 | 2023 | 36 | |
| 13 | 2020 | 35 | |
| 14 | 2022 | 34 | |
| 15 | 2020 | 32 | |
| 16 | 2022 | 32 | |
| 17 | 2024 | 28 | |
| 18 | 2022 | 27 | |
| 19 | 2020 | 26 | |
| 20 | 2020 | 25 |
About Shoujin Wang
Shoujin Wang is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Signal Processing, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (45 papers), Topic Modeling (34 papers), Advanced Graph Neural Networks (22 papers), Advanced Bandit Algorithms Research (11 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (8 papers), Human Mobility and Location-Based Analysis (6 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (287 citations), Computer Vision and Pattern Recognition (425 citations) and Transportation (83 citations). Shoujin Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Longbing Cao, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Wei Liu, Defu Lian, Liang Hu, Liang Hu, Qinxue Meng and Jia Wu. Their work appears in journals such as Neurocomputing, IEEE Intelligent Systems, Information Sciences, ACM Transactions on Internet Technology and Applied Sciences.
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.