Zaiqiao Meng

1.8k total citations
68 papers, 1.1k citations indexed

About

Zaiqiao Meng is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zaiqiao Meng has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 23 papers in Information Systems and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zaiqiao Meng's work include Topic Modeling (28 papers), Advanced Graph Neural Networks (23 papers) and Recommender Systems and Techniques (18 papers). Zaiqiao Meng is often cited by papers focused on Topic Modeling (28 papers), Advanced Graph Neural Networks (23 papers) and Recommender Systems and Techniques (18 papers). Zaiqiao Meng collaborates with scholars based in United Kingdom, China and Australia. Zaiqiao Meng's co-authors include Shangsong Liang, Hong Shen, Huimin Huang, Fangyu Liu, Iadh Ounis, Nigel Collier, Craig Macdonald, Ehsan Shareghi, Xiangliang Zhang and Marco Basaldella and has published in prestigious journals such as Bioinformatics, IEEE Access and ACM Computing Surveys.

In The Last Decade

Zaiqiao Meng

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zaiqiao Meng United Kingdom 17 721 342 258 162 153 68 1.1k
Chanyoung Park South Korea 17 538 0.7× 361 1.1× 142 0.6× 147 0.9× 75 0.5× 52 781
Chaozhuo Li China 18 697 1.0× 278 0.8× 185 0.7× 205 1.3× 55 0.4× 77 955
Shulong Tan China 15 576 0.8× 351 1.0× 194 0.8× 270 1.7× 49 0.3× 27 895
Bo-June Hsu United States 13 715 1.0× 338 1.0× 140 0.5× 116 0.7× 83 0.5× 23 1.1k
Clare R. Voss United States 18 1.2k 1.7× 311 0.9× 79 0.3× 145 0.9× 105 0.7× 76 1.4k
Enrique Amigó Spain 16 840 1.2× 388 1.1× 125 0.5× 156 1.0× 72 0.5× 51 1.1k
Maseud Rahgozar Iran 16 476 0.7× 279 0.8× 332 1.3× 75 0.5× 124 0.8× 75 921

Countries citing papers authored by Zaiqiao Meng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Zaiqiao Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiqiao Meng. A scholar is included among the top collaborators of Zaiqiao Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zaiqiao Meng. Zaiqiao Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Macdonald, Craig, et al.. (2025). Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. ArXiv.org. 4035–4040. 1 indexed citations
2.
Zhang, Xi, Fatemeh Haghighi, Dave Van Veen, et al.. (2025). RadEval: A framework for radiology text evaluation. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 546–557.
3.
Meng, Zaiqiao, et al.. (2025). FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 4425–4444. 1 indexed citations
4.
Moro, Gianluca, et al.. (2024). To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 9878–9919. 5 indexed citations
5.
Meng, Zaiqiao, et al.. (2024). TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 8472–8494. 4 indexed citations
6.
Meng, Zaiqiao, et al.. (2024). Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. 1–7. 1 indexed citations
7.
Meng, Zaiqiao, et al.. (2024). REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2094–2112. 1 indexed citations
8.
Meng, Zaiqiao, et al.. (2024). Can We Instruct LLMs to Compensate for Position Bias?. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12545–12556. 1 indexed citations
9.
Liang, Shangsong, et al.. (2024). Heterogeneous biomedical entity representation learning for gene–disease association prediction. Briefings in Bioinformatics. 25(5). 3 indexed citations
10.
Wang, Ye, et al.. (2023). GenKIE: Robust Generative Multimodal Document Key Information Extraction. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 14702–14713. 3 indexed citations
11.
Meng, Zaiqiao, et al.. (2023). KGPR: Knowledge Graph Enhanced Passage Ranking. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3880–3885.
12.
Su, Yixuan, et al.. (2023). COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. 33–44. 2 indexed citations
13.
Wang, Xiaobin, et al.. (2023). MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 4261–4276. 7 indexed citations
14.
Su, Yixuan, Fangyu Liu, Zaiqiao Meng, et al.. (2022). TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. 2497–2507. 18 indexed citations
15.
Meng, Zaiqiao, et al.. (2022). Graph Neural Pre-training for Recommendation with Side Information. ACM Transactions on Information Systems. 41(3). 1–28. 25 indexed citations
16.
Liu, Fangyu, et al.. (2022). Revisiting Parameter-Efficient Tuning: Are We Really There Yet?. 2612–2626. 32 indexed citations
17.
Zhang, Qiang, et al.. (2021). Variational Continual Bayesian Meta-Learning. Neural Information Processing Systems. 34. 5 indexed citations
18.
Zhang, Qiang, et al.. (2021). Structure-Aware Random Fourier Kernel for Graphs. Neural Information Processing Systems. 34. 3 indexed citations
19.
Liu, Fangyu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, & Nigel Collier. (2021). Self-Alignment Pretraining for Biomedical Entity Representations. 4228–4238. 144 indexed citations
20.
Meng, Zaiqiao & Hong Shen. (2019). Fast top-k similarity search in large dynamic attributed networks. Information Processing & Management. 56(6). 102074–102074. 3 indexed citations

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.

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