Xinjun Wang
Impact in
- Information Systems top 10%
- Recommender Systems and Techniques
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- Advanced Polymer Synthesis and Characterization
- Click Chemistry and Applications
Papers in
-
- Recommender Systems and Techniques 11
- Web Data Mining and Analysis 5
- Expert finding and Q&A systems 4
- Cloud Computing and Resource Management 4
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- Advanced Graph Neural Networks 8
- Topic Modeling 6
- Machine Learning in Healthcare 5
- Co-authors
- Zesheng An (1 shared paper)Anqi Zhu (1 shared paper)Xiao Wang (1 shared paper)Baohua Zhang (1 shared paper)Kai Ma (1 shared paper)Yue Lv (1 shared paper)Zhongmin Yan (14 shared papers)Yuliang Shi (17 shared papers)
- Journals
- Knowledge and Information Systems (3 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)IEEE Access (2 papers)Wireless Communications and Mobile Computing (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xinjun Wang
39 papers receiving 330 citations
Peers
Comparison fields: 5 of 77
- Information Systems 98
- Organic Chemistry 123
- Surfaces, Coatings and Films 29
- Biomaterials 42
- Artificial Intelligence 97
Countries citing papers authored by Xinjun Wang
This map shows the geographic impact of Xinjun 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 Xinjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinjun Wang more than expected).
Fields of papers citing papers by Xinjun Wang
This network shows the impact of papers produced by Xinjun 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 Xinjun Wang. The network helps show where Xinjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinjun 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 137 | |
| 2 | 2022 | 22 | |
| 3 | 2021 | 19 | |
| 4 | 2013 | 16 | |
| 5 | 2022 | 14 | |
| 6 | 2013 | 14 | |
| 7 | 2011 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2009 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2009 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2008 | 3 |
About Xinjun Wang
Xinjun Wang is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Applied Mathematics, having authored 46 papers that have together received 332 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (8 papers), Topic Modeling (6 papers), Data Management and Algorithms (5 papers), Web Data Mining and Analysis (5 papers), Machine Learning in Healthcare (5 papers), Expert finding and Q&A systems (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Information Systems (98 citations), Organic Chemistry (123 citations), Surfaces, Coatings and Films (29 citations), Biomaterials (42 citations) and Artificial Intelligence (97 citations). Xinjun Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zesheng An, Anqi Zhu, Xiao Wang, Baohua Zhang, Kai Ma, Yue Lv, Zhongmin Yan, Yuliang Shi, Hongchen Wu and Wei Guo. Their work appears in journals such as Knowledge and Information Systems, ACM Transactions on Knowledge Discovery from Data, IEEE Access, Wireless Communications and Mobile Computing and PLoS ONE.
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.