Weizi Li

1.7k total citations
59 papers, 943 citations indexed

About

Weizi Li is a scholar working on Artificial Intelligence, Management Information Systems and Molecular Biology. According to data from OpenAlex, Weizi Li has authored 59 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Management Information Systems and 6 papers in Molecular Biology. Recurrent topics in Weizi Li's work include Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (8 papers) and Biomedical Text Mining and Ontologies (6 papers). Weizi Li is often cited by papers focused on Semantic Web and Ontologies (10 papers), Business Process Modeling and Analysis (8 papers) and Biomedical Text Mining and Ontologies (6 papers). Weizi Li collaborates with scholars based in United Kingdom, China and United States. Weizi Li's co-authors include Kecheng Liu, Nicholas O’Regan, Maksim Belitski, Abby Ghobadian, Hongqiao Yang, Xiaopu Shang, Bo Tian, Runtong Zhang, Shen Xu and Yifan Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Weizi Li

54 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizi Li United Kingdom 18 208 134 129 119 117 59 943
Adam Fadlalla United States 19 145 0.7× 114 0.9× 131 1.0× 44 0.4× 70 0.6× 52 1.1k
Ravi Sharma New Zealand 18 89 0.4× 170 1.3× 198 1.5× 69 0.6× 86 0.7× 129 1.9k
Sharon A. Johnson United States 14 108 0.5× 132 1.0× 46 0.4× 89 0.7× 68 0.6× 34 1.1k
Khai Wah Khaw Malaysia 23 117 0.6× 228 1.7× 131 1.0× 21 0.2× 119 1.0× 85 1.3k
Deborah Nightingale United States 17 219 1.1× 169 1.3× 50 0.4× 31 0.3× 112 1.0× 49 966
Andreas S. Andreou Cyprus 21 177 0.9× 105 0.8× 376 2.9× 71 0.6× 127 1.1× 108 1.3k
Omar Ali Kuwait 21 104 0.5× 162 1.2× 345 2.7× 39 0.3× 75 0.6× 61 2.0k
Torsten Eymann Germany 15 110 0.5× 252 1.9× 175 1.4× 33 0.3× 117 1.0× 107 1.4k
Andrea De Mauro Italy 12 211 1.0× 140 1.0× 204 1.6× 31 0.3× 100 0.9× 17 1.4k
Hamid Nemati United States 18 241 1.2× 224 1.7× 188 1.5× 32 0.3× 96 0.8× 78 1.4k

Countries citing papers authored by Weizi Li

Since Specialization
Citations

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

Fields of papers citing papers by Weizi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weizi Li. A scholar is included among the top collaborators of Weizi Li 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 Weizi Li. Weizi Li 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.
Chakraborti, Tapabrata, Christopher R. S. Banerji, Robin Mitra, et al.. (2025). Personalized uncertainty quantification in artificial intelligence. Nature Machine Intelligence. 7(4). 522–530. 6 indexed citations
2.
Li, Weizi, Changhui Wang, Boyuan Wang, et al.. (2024). Effects of commercial ethanol-blended gasoline on emissions of a blended plug-in hybrid electric vehicle. Fuel. 381. 133439–133439.
3.
Han, Lei, et al.. (2024). Social comparison and aggression: The mediating role of relative deprivation and moderating role of covert narcissism. International Journal of Psychology. 59(5). 646–656. 2 indexed citations
4.
Li, Weizi, et al.. (2023). Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study. SHILAP Revista de lepidopterología. 2. e45450–e45450. 1 indexed citations
5.
Li, Weizi, et al.. (2022). Learning to Control DC Motor for Micromobility in Real Time With Reinforcement Learning. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 1248–1254. 6 indexed citations
6.
Li, Weizi, et al.. (2022). Cooperative Advertising Strategy Selection Problem for considering Pricing and Advertising Decisions in a Two-Period Online Supply Chain. Mathematical Problems in Engineering. 2022. 1–15. 4 indexed citations
7.
Shen, Yu, et al.. (2021). Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering. Neural Information Processing Systems. 34. 7 indexed citations
8.
Liu, Chengxi, Weizi Li, Naif Radi Aljohani, et al.. (2020). A framework to evaluate the interoperability of information systems – Measuring the maturity of the business process alignment. International Journal of Information Management. 54. 102153–102153. 13 indexed citations
9.
Liu, Siying, Runtong Zhang, Xiaopu Shang, & Weizi Li. (2020). Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model. Computer Methods and Programs in Biomedicine. 188. 105302–105302. 18 indexed citations
10.
Li, Weizi, et al.. (2020). Predicting Risk of Hospital Readmission for Comorbidity Patients through a Novel Deep Learning Framework. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 5 indexed citations
11.
Clarke, David J., et al.. (2020). Triage Into the Community for COVID-19 (TICC-19) Patients Pathway – Service evaluation of the virtual monitoring of patients with COVID pneumonia. Acute Medicine Journal. 19(4). 183–191. 24 indexed citations
12.
Shang, Xiaopu, et al.. (2019). Discovering Medication Patterns for High-Complexity Drug-Using Diseases Through Electronic Medical Records. IEEE Access. 7. 125280–125299. 3 indexed citations
13.
Li, Weizi, et al.. (2019). Deep Learning for Predicting Non-attendance in Hospital Outpatient Appointments. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 11 indexed citations
14.
Li, Weizi, et al.. (2019). Portfolio formation with preselection using deep learning from long-term financial data. Expert Systems with Applications. 143. 113042–113042. 129 indexed citations
15.
16.
Chen, Donghua, et al.. (2018). Predicting the interaction between treatment processes and disease progression by using hidden Markov model. CentAUR (University of Reading). 3 indexed citations
17.
Xu, Shen, Kecheng Liu, Llewellyn Tang, & Weizi Li. (2016). A framework for integrating syntax, semantics and pragmatics for computer-aided professional practice: With application of costing in construction industry. Computers in Industry. 83. 28–45. 24 indexed citations
18.
Liu, Kecheng, et al.. (2015). Information and Knowledge Management in Complex Systems. IFIP advances in information and communication technology. 7 indexed citations
19.
Yang, Hongqiao, Xihua Liu, Fei Wu, & Weizi Li. (2009). Multi-agent based modeling and simulation of complex system in hospital. 1759–1763. 7 indexed citations
20.
Li, Weizi, et al.. (2009). An Agent Based Approach for Customized Clinical Pathway. 468–472. 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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