Stephen Guo
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Natural Language Processing Techniques
- Data Stream Mining Techniques
Papers in
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- Advanced Graph Neural Networks 5
- Topic Modeling 4
- Advanced Text Analysis Techniques 2
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- Recommender Systems and Techniques 7
- Information Retrieval and Search Behavior 2
- Co-authors
- Héctor García-Molina (1 shared paper)Aditya Parameswaran (1 shared paper)Mengqiu Wang (1 shared paper)Jure Leskovec (1 shared paper)Emre Kıcıman (1 shared paper)Ming‐Wei Chang (1 shared paper)Philip S. Yu (5 shared papers)Kannan Achan (7 shared papers)
- Journals
- Bioinformatics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Society for Industrial and Applied Mathematics eBooks (1 paper)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Stephen Guo
16 papers receiving 492 citations
Peers
Comparison fields: 5 of 60
- Computer Science Applications 134
- Artificial Intelligence 312
- Management Science and Operations Research 104
- Information Systems 171
- Information Systems and Management 49
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 | 140 | |
| 2 | 2011 | 117 | |
| 3 | To Link or Not to Link? A Study on End-to-End Tweet Entity Linking | 2013 | 109 |
| 4 | 2020 | 45 | |
| 5 | 2020 | 41 | |
| 6 | 2015 | 20 | |
| 7 | 2017 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2013 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 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 17 papers that have together received 526 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Graph Neural Networks (5 papers), Topic Modeling (4 papers), Complex Network Analysis Techniques (3 papers), Information Retrieval and Search Behavior (2 papers), Advanced Text Analysis Techniques (2 papers), Advanced Bandit Algorithms Research (2 papers) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Computer Science Applications (134 citations), Artificial Intelligence (312 citations), Management Science and Operations Research (104 citations), Information Systems (171 citations) and Information Systems and Management (49 citations). Stephen Guo has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Héctor García-Molina, Aditya Parameswaran, Mengqiu Wang, Jure Leskovec, Emre Kıcıman, Ming‐Wei Chang, Philip S. Yu, Kannan Achan, Zhiwei Liu and Xiaohan Li. Their work appears in journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, Society for Industrial and Applied Mathematics eBooks, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining and North American Chapter of the Association for Computational Linguistics.
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.