Guohui Ling
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
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- Advanced Bandit Algorithms Research
Papers in
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- Advanced Graph Neural Networks 4
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- Recommender Systems and Techniques 3
- Spam and Phishing Detection 1
- Co-authors
- Chonggang Song (4 shared papers)Xiangnan He (3 shared papers)Yongdong Zhang (3 shared papers)Fuli Feng (3 shared papers)Yang Zhang (2 shared papers)Tianxin Wei (1 shared paper)Zibin Zheng (3 shared papers)Fanghua Ye (2 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Information Sciences (1 paper)IEEE Access (1 paper)ACM Transactions on Information Systems (1 paper)PubMed (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Guohui Ling
8 papers receiving 408 citations
Guohui Ling's Hit Papers
Peers
Comparison fields: 5 of 41
- Information Systems 258
- Management Science and Operations Research 102
- Artificial Intelligence 254
- Statistical and Nonlinear Physics 92
- Transportation 22
Countries citing papers authored by Guohui Ling
This map shows the geographic impact of Guohui Ling'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 Guohui Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guohui Ling more than expected).
Fields of papers citing papers by Guohui Ling
This network shows the impact of papers produced by Guohui Ling. 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 Guohui Ling. The network helps show where Guohui Ling may publish in the future.
Co-authors
The 23 scholars most cited alongside Guohui Ling, 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 | Causal Intervention for Leveraging Popularity Bias in Recommendation Hit paper breakdown → | 2021 | 258 |
| 2 | 2017 | 60 | |
| 3 | 2022 | 40 | |
| 4 | 2018 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2016 | 8 | |
| 7 | 2020 | 6 | |
| 8 | A common genetic variant as an effect modifier for primary angle closure glaucoma. | 2015 | 1 |
About Guohui Ling
Guohui Ling is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Transportation, having authored 8 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers), Advanced Bandit Algorithms Research (2 papers), Human Mobility and Location-Based Analysis (2 papers), Glaucoma and retinal disorders (1 paper), Spam and Phishing Detection (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems (258 citations), Management Science and Operations Research (102 citations), Artificial Intelligence (254 citations), Statistical and Nonlinear Physics (92 citations) and Transportation (22 citations). Guohui Ling has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chonggang Song, Xiangnan He, Yongdong Zhang, Fuli Feng, Yang Zhang, Tianxin Wei, Zibin Zheng, Fanghua Ye, Rong-Hua Li and Tan Jin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Information Sciences, IEEE Access, ACM Transactions on Information Systems and PubMed.
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.