Zaiqiao Meng
- Artificial Intelligence top 2%
- Topic Modeling 28
- Advanced Graph Neural Networks 23
- Natural Language Processing Techniques 11
- Domain Adaptation and Few-Shot Learning 8
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- Complex Network Analysis Techniques 10
- Information Systems top 2%
- Recommender Systems and Techniques 18
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- Image Retrieval and Classification Techniques 7
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Shangsong LiangHong ShenHuimin HuangFangyu LiuIadh OunisNigel CollierCraig MacdonaldEhsan Shareghi
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Zaiqiao Meng
63 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 721
- Statistical and Nonlinear Physics 258
- Information Systems 342
- Computational Mathematics 6
- Management Science and Operations Research 102
Countries citing papers authored by Zaiqiao Meng
This map shows the geographic impact of Zaiqiao Meng'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 Zaiqiao Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zaiqiao Meng more than expected).
Fields of papers citing papers by Zaiqiao Meng
This network shows the impact of papers produced by Zaiqiao Meng. 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 Zaiqiao Meng. The network helps show where Zaiqiao Meng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zaiqiao Meng, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 18 | |
| 15 | 2022 | 25 | |
| 16 | 2022 | 32 | |
| 17 | Variational Continual Bayesian Meta-Learning | 2021 | 5 |
| 18 | Structure-Aware Random Fourier Kernel for Graphs | 2021 | 3 |
| 19 | 2021 | 144 | |
| 20 | 2019 | 3 |
About Zaiqiao Meng
Zaiqiao Meng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (28 papers), Advanced Graph Neural Networks (23 papers), Recommender Systems and Techniques (18 papers), Natural Language Processing Techniques (11 papers), Complex Network Analysis Techniques (10 papers), Domain Adaptation and Few-Shot Learning (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (721 citations), Statistical and Nonlinear Physics (258 citations) and Information Systems (342 citations). Zaiqiao Meng has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Shangsong Liang, Hong Shen, Huimin Huang, Fangyu Liu, Iadh Ounis, Nigel Collier, Craig Macdonald, Ehsan Shareghi, Xiangliang Zhang and Marco Basaldella. Their work appears in journals such as Bioinformatics, IEEE Access and ACM Computing Surveys.
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.