Zhongyu Wei

5.3k total citations · 2 hit papers
124 papers, 2.6k citations indexed

About

Zhongyu Wei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhongyu Wei has authored 124 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 23 papers in Information Systems. Recurrent topics in Zhongyu Wei's work include Topic Modeling (65 papers), Natural Language Processing Techniques (42 papers) and Multimodal Machine Learning Applications (24 papers). Zhongyu Wei is often cited by papers focused on Topic Modeling (65 papers), Natural Language Processing Techniques (42 papers) and Multimodal Machine Learning Applications (24 papers). Zhongyu Wei collaborates with scholars based in China, Hong Kong and United States. Zhongyu Wei's co-authors include Xuanjing Huang, Kam‐Fai Wong, Wei Gao, Jing Ma, Yueming Lu, Jiajie Peng, Jianye Hao, Xuequn Shang, Qi Zhang and Jinlan Fu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Zhongyu Wei

110 papers receiving 2.5k citations

Hit Papers

Detect Rumors Using Time Series of Social Context Informa... 2015 2026 2018 2022 2015 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongyu Wei China 23 1.6k 467 441 403 377 124 2.6k
Kenny Q. Zhu China 20 1.5k 0.9× 397 0.9× 160 0.4× 627 1.6× 243 0.6× 94 2.1k
Yanghua Xiao China 23 1.3k 0.8× 111 0.2× 146 0.3× 445 1.1× 405 1.1× 168 2.1k
Xintao Wu United States 26 2.0k 1.2× 491 1.1× 81 0.2× 472 1.2× 247 0.7× 146 2.7k
Nan Du United States 22 671 0.4× 67 0.1× 371 0.8× 340 0.8× 179 0.5× 90 1.6k
Duyu Tang China 30 6.3k 3.9× 403 0.9× 333 0.8× 2.2k 5.4× 598 1.6× 59 7.8k
Heng Ji United States 33 4.0k 2.5× 326 0.7× 340 0.8× 780 1.9× 404 1.1× 162 4.6k
Yanyan Lan China 25 2.2k 1.3× 243 0.5× 102 0.2× 1.2k 3.1× 545 1.4× 107 3.3k
Zhiyong Zhang China 20 501 0.3× 234 0.5× 137 0.3× 657 1.6× 204 0.5× 166 1.6k
Huan Sun United States 18 918 0.6× 75 0.2× 224 0.5× 371 0.9× 156 0.4× 67 1.3k
Mustafa Bilgic United States 15 2.2k 1.4× 81 0.2× 203 0.5× 489 1.2× 526 1.4× 44 2.7k

Countries citing papers authored by Zhongyu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Zhongyu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongyu Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongyu Wei. A scholar is included among the top collaborators of Zhongyu Wei 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 Zhongyu Wei. Zhongyu Wei 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.
Wei, Zhongyu, et al.. (2025). Word Form Matters: LLMs’ Semantic Reconstruction under Typoglycemia. 16870–16885.
3.
Cui, Tao, Tao Wang, Jun Wang, et al.. (2025). A Multi‐Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design. Advanced Science. 12(38). e03443–e03443. 1 indexed citations
5.
Huang, Ting, Jia Zheng, Siyuan Wang, et al.. (2025). Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction. 6537–6570.
6.
Wei, Zhongyu, et al.. (2024). PT-KGNN: A framework for pre-training biomedical knowledge graphs with graph neural networks. Computers in Biology and Medicine. 178. 108768–108768. 1 indexed citations
7.
Xiao, Xiao, et al.. (2024). Android in the Zoo: Chain-of-Action-Thought for GUI Agents. 12016–12031. 1 indexed citations
8.
Wei, Zhongyu, et al.. (2024). Symbolic Working Memory Enhances Language Models for Complex Rule Application. 17583–17604. 1 indexed citations
9.
Lyu, Hanjia, Kun Wu, Siming Chen, et al.. (2024). SoMeLVLM: A Large Vision Language Model for Social Media Processing. 2366–2389. 2 indexed citations
12.
Lyu, Hanjia, Weihong Qi, Zhongyu Wei, & Jiebo Luo. (2024). Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication. Proceedings of the International AAAI Conference on Web and Social Media. 18. 2104–2110. 1 indexed citations
13.
Lyu, Hanjia, et al.. (2024). GPT-4V(ision) as A Social Media Analysis Engine. ACM Transactions on Intelligent Systems and Technology. 16(3). 1–54. 7 indexed citations
14.
Li, Zejun, Zhihao Fan, Jingjing Chen, et al.. (2023). Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training. 5939–5958. 9 indexed citations
15.
Zhao, Jun, Yongxin Zhang, Qi Zhang, et al.. (2023). Actively Supervised Clustering for Open Relation Extraction. 4985–4997. 1 indexed citations
16.
Wei, Zhongyu, et al.. (2023). Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 1586–1595. 5 indexed citations
17.
Wang, Ruize, Duyu Tang, Nan Duan, et al.. (2021). K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. 1405–1418. 218 indexed citations breakdown →
18.
Peng, Jiajie, Hansheng Xue, Zhongyu Wei, et al.. (2020). Integrating multi-network topology for gene function prediction using deep neural networks. Briefings in Bioinformatics. 22(2). 2096–2105. 61 indexed citations
19.
Peng, Jiajie, Weiwei Hui, Qianqian Li, et al.. (2019). A learning-based framework for miRNA-disease association identification using neural networks. Bioinformatics. 35(21). 4364–4371. 142 indexed citations
20.
Wei, Zhongyu, et al.. (2018). Incorporating Topic Aspects for Online Comment Convincingness Evaluation. 97–104. 5 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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