Bin Cao
Impact in
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- Business Process Modeling and Analysis
- Information Systems top 5%
- Recommender Systems and Techniques
- Service-Oriented Architecture and Web Services
Papers in
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- Topic Modeling 12
- Advanced Text Analysis Techniques 9
- Semantic Web and Ontologies 8
- Natural Language Processing Techniques 7
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- Service-Oriented Architecture and Web Services 9
- Co-authors
- Jianwei Yin (15 shared papers)Jing Fan (32 shared papers)Shuiguang Deng (9 shared papers)Chenyu Hou (10 shared papers)Ying Li (2 shared papers)Jiaxing Wang (14 shared papers)Zhaohui Wu (2 shared papers)Yuyu Yin (1 shared paper)
- Journals
- World Wide Web (3 papers)Big Data Mining and Analytics (2 papers)Wireless Networks (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Services Computing (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bin Cao
69 papers receiving 594 citations
Peers
Comparison fields: 5 of 87
- Management Information Systems 111
- Information Systems 216
- Transportation 52
- Artificial Intelligence 223
- Automotive Engineering 64
Countries citing papers authored by Bin Cao
This map shows the geographic impact of Bin Cao'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 Bin Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Cao more than expected).
Fields of papers citing papers by Bin Cao
This network shows the impact of papers produced by Bin Cao. 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 Bin Cao. The network helps show where Bin Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Cao, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2016 | 58 | |
| 3 | 2021 | 54 | |
| 4 | 2015 | 45 | |
| 5 | 2016 | 43 | |
| 6 | 2016 | 33 | |
| 7 | 2021 | 29 | |
| 8 | 2020 | 25 | |
| 9 | 2015 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2017 | 9 | |
| 13 | 2005 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2015 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 6 |
About Bin Cao
Bin Cao is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Information Systems and Signal Processing, having authored 78 papers that have together received 622 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (16 papers), Topic Modeling (12 papers), Service-Oriented Architecture and Web Services (9 papers), Data Management and Algorithms (9 papers), Advanced Text Analysis Techniques (9 papers), Semantic Web and Ontologies (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Management Information Systems (111 citations), Information Systems (216 citations), Transportation (52 citations), Artificial Intelligence (223 citations) and Automotive Engineering (64 citations). Bin Cao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianwei Yin, Jing Fan, Shuiguang Deng, Chenyu Hou, Ying Li, Jiaxing Wang, Zhaohui Wu, Yuyu Yin, Lida Xu and Jiawei Wu. Their work appears in journals such as World Wide Web, Big Data Mining and Analytics, Wireless Networks, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Services Computing.
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.