Jiana Meng

632 total citations
35 papers, 410 citations indexed

About

Jiana Meng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jiana Meng has authored 35 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Jiana Meng's work include Topic Modeling (12 papers), Text and Document Classification Technologies (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Jiana Meng is often cited by papers focused on Topic Modeling (12 papers), Text and Document Classification Technologies (8 papers) and Biomedical Text Mining and Ontologies (7 papers). Jiana Meng collaborates with scholars based in China, United Kingdom and Macao. Jiana Meng's co-authors include Yuhai Yu, Zhehuan Zhao, Hongfei Lin, Hongfei Lin, Hai Guo, Zhiyong Tan, Dandan Zhao, Shuang Liu, Xinghao Yu and Pengjie Wang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and International Journal of Computer Vision.

In The Last Decade

Jiana Meng

24 papers receiving 392 citations

Peers

Jiana Meng

CVPR

RNMI

NEURO

Yuhai Yu China

Jason Phang United States

Zabit Hameed Spain

Mohammed Meknassi Morocco

Meshrif Alruily Saudi Arabia

Sheng Zhou China

Hongfei Lin China

Amani Jamal Saudi Arabia

L. Borrajo Spain

Rehan Ashraf Pakistan

Yuhai Yu China

Jiana Meng

273 ×1.0

110 ×1.0

CVPR

91 ×1.0

RNMI

58 ×1.1

20 ×1.0

NEURO

Citations per year, relative to Jiana Meng Jiana Meng (= 1×) peers Yuhai Yu

Countries citing papers authored by Jiana Meng

Since Specialization

Citations

This map shows the geographic impact of Jiana 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 Jiana Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiana Meng more than expected).

Fields of papers citing papers by Jiana Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiana 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 Jiana Meng. The network helps show where Jiana Meng may publish in the future.

Co-authorship network of co-authors of Jiana Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiana Meng. A scholar is included among the top collaborators of Jiana 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 Jiana Meng. Jiana Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Zeyu, et al.. (2025). Multi-Text Guidance Is Important: Multi-Modality Image Fusion via Large Generative Vision-Language Model. International Journal of Computer Vision. 133(7). 4646–4668. 7 indexed citations

Dong, Xin Luna, et al.. (2025). SyRACT: zero-shot biomedical document-level relation extraction with synergistic RAG and CoT. Bioinformatics. 41(7).

Zhao, Di, et al.. (2025). Exploring biomedical relation extraction by combining natural language inference and dual dependency trees. Expert Systems with Applications. 289. 128342–128342.

Zhao, Di, et al.. (2025). Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction. BioData Mining. 18(1). 28–28.

Meng, Jiana, et al.. (2024). Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction. Journal of Biomedical Informatics. 157. 104717–104717. 3 indexed citations

Zhao, Di, et al.. (2024). Few-shot biomedical relation extraction using data augmentation and domain information. Neurocomputing. 595. 127881–127881. 5 indexed citations

Zhao, Di, et al.. (2024). Few-shot Biomedical NER via Multi-task Learning and More Fine-grained Grid-tagging Strategy. 1098–1103.

Sun, Lingling, et al.. (2024). Association between family income to poverty ratio and severe headache/migraine in the American adults: data from NHANES 1999–2004. Frontiers in Neurology. 15. 1427277–1427277. 2 indexed citations

Zhao, Di, Yumeng Yang, Jiana Meng, et al.. (2023). Biomedical document relation extraction with prompt learning and KNN. Journal of Biomedical Informatics. 145. 104459–104459. 5 indexed citations

10.

Tan, Zhiyong, et al.. (2023). Self-supervised learning with self-distillation on COVID-19 medical image classification. Computer Methods and Programs in Biomedicine. 243. 107876–107876. 15 indexed citations

11.

Meng, Jiana, et al.. (2023). Sarcasm detection based on BERT and attention mechanism. Multimedia Tools and Applications. 83(10). 29159–29178. 6 indexed citations

12.

Sun, Shichang, Yongdong Huang, Di Zhao, Yuhai Yu, & Jiana Meng. (2023). Transferring variational autoencoders with coarse-and-fine alignment for open set broad classification. International Journal of Machine Learning and Cybernetics. 14(10). 3655–3669.

13.

Meng, Jiana, et al.. (2022). TL-med: A Two-stage transfer learning recognition model for medical images of COVID-19. Journal of Applied Biomedicine. 42(3). 842–855. 21 indexed citations

14.

Huang, Degen, et al.. (2020). Dual Neural Network Fusion Model for Chinese Named Entity Recognition. International Journal of Computational Intelligence Systems. 14(1). 471–471. 3 indexed citations

15.

Meng, Jiana, et al.. (2016). Improving Approximate Singular Triplets in Lanczos Bidiagonalization Method. Taiwanese Journal of Mathematics. 20(4).

16.

Yu, Yuhai, Hongfei Lin, Jiana Meng, & Zhehuan Zhao. (2016). Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks. Algorithms. 9(2). 41–41. 95 indexed citations

17.

Liu, Lijun, et al.. (2013). Dual subspace learning via geodesic search on Stiefel manifold. International Journal of Machine Learning and Cybernetics. 5(5). 753–759. 3 indexed citations

18.

Meng, Jiana, Hongfei Lin, & Yanpeng Li. (2011). Application of feature selection method to text categorization based on feature contribution degree. Dalian Ligong Daxue xuebao. 51(4). 611–615.

19.

Meng, Jiana, Hongfei Lin, & Yuhai Yu. (2011). A two-stage feature selection method for text categorization. Computers & Mathematics with Applications. 62(7). 2793–2800. 45 indexed citations

20.

Meng, Jiana & Hongfei Lin. (2010). A two-stage feature selection method for text categorization. 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery. 3. 1492–1496. 8 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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