Lingbing Guo
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Semantic Web and Ontologies
Papers in
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- Topic Modeling 10
- Advanced Graph Neural Networks 9
- Domain Adaptation and Few-Shot Learning 3
- Natural Language Processing Techniques 3
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- Multimodal Machine Learning Applications 4
- Co-authors
- Wei Hu (4 shared papers)Zequn Sun (4 shared papers)Yuzhong Qu (2 shared papers)Qinghe Zhang (2 shared papers)Muhao Chen (1 shared paper)Zhuo Chen (7 shared papers)Huajun Chen (5 shared papers)Wen Zhang (5 shared papers)
- Journals
- Data Intelligence (1 paper)Information Fusion (1 paper)Knowledge-Based Systems (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lingbing Guo
11 papers receiving 306 citations
Peers
Comparison fields: 5 of 42
- Management Science and Operations Research 149
- Artificial Intelligence 299
- Statistical and Nonlinear Physics 23
- Computer Vision and Pattern Recognition 28
- Information Systems 30
Countries citing papers authored by Lingbing Guo
This map shows the geographic impact of Lingbing 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 Lingbing Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingbing Guo more than expected).
Fields of papers citing papers by Lingbing Guo
This network shows the impact of papers produced by Lingbing 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 Lingbing Guo. The network helps show where Lingbing Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingbing 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 | 2019 | 154 | |
| 2 | 2019 | 58 | |
| 3 | 2024 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2024 | 12 | |
| 6 | 2018 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2025 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2024 | 0 |
About Lingbing Guo
Lingbing Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Health Information Management and Information Systems, having authored 13 papers that have together received 317 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Advanced Graph Neural Networks (9 papers), Multimodal Machine Learning Applications (4 papers), Data Quality and Management (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Natural Language Processing Techniques (3 papers), Web Data Mining and Analysis (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Management Science and Operations Research (149 citations), Artificial Intelligence (299 citations), Statistical and Nonlinear Physics (23 citations), Computer Vision and Pattern Recognition (28 citations) and Information Systems (30 citations). Lingbing Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Hu, Zequn Sun, Yuzhong Qu, Qinghe Zhang, Muhao Chen, Zhuo Chen, Huajun Chen, Wen Zhang, Yajing Xu and Jeff Z. Pan. Their work appears in journals such as Data Intelligence, Information Fusion, Knowledge-Based Systems, Findings of the Association for Computational Linguistics: ACL 2022 and Proceedings of the AAAI Conference on Artificial Intelligence.
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.