Stephen Guo
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
Papers in
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- Advanced Graph Neural Networks 4
- Topic Modeling 4
- Advanced Text Analysis Techniques 2
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- Recommender Systems and Techniques 6
- Information Retrieval and Search Behavior 2
- Co-authors
- Héctor García-Molina (1 shared paper)Aditya Parameswaran (1 shared paper)Jure Leskovec (1 shared paper)Emre Kıcıman (1 shared paper)Ming‐Wei Chang (1 shared paper)Kannan Achan (6 shared papers)Xiaohan Li (3 shared papers)Philip S. Yu (4 shared papers)
- Journals
- Bioinformatics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the 31st ACM International Conference on Information & Knowledge Management (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Stephen Guo
15 papers receiving 384 citations
Peers
Comparison fields: 5 of 51
- Computer Science Applications 117
- Artificial Intelligence 240
- Management Science and Operations Research 87
- Information Systems and Management 43
- Information Systems 122
Countries citing papers authored by Stephen Guo
This map shows the geographic impact of Stephen Guo'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 Stephen Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Guo more than expected).
Fields of papers citing papers by Stephen Guo
This network shows the impact of papers produced by Stephen Guo. 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 Stephen Guo. The network helps show where Stephen Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Guo, 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 | 2012 | 127 | |
| 2 | 2011 | 96 | |
| 3 | To Link or Not to Link? A Study on End-to-End Tweet Entity Linking | 2013 | 89 |
| 4 | 2020 | 37 | |
| 5 | 2015 | 15 | |
| 6 | 2017 | 15 | |
| 7 | 2021 | 12 | |
| 8 | 2013 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2024 | 0 |
About Stephen Guo
Stephen Guo is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 16 papers that have together received 413 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (4 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Bandit Algorithms Research (2 papers), Advanced Text Analysis Techniques (2 papers), Information Retrieval and Search Behavior (2 papers) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Computer Science Applications (117 citations), Artificial Intelligence (240 citations), Management Science and Operations Research (87 citations), Information Systems and Management (43 citations) and Information Systems (122 citations). Stephen Guo has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Héctor García-Molina, Aditya Parameswaran, Jure Leskovec, Emre Kıcıman, Ming‐Wei Chang, Kannan Achan, Xiaohan Li, Philip S. Yu, Zhiwei Liu and Ziwei Fan. Their work appears in journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022 IEEE International Conference on Big Data (Big Data) and arXiv (Cornell University).
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.