Jingwei Cheng

769 total citations
41 papers, 339 citations indexed

About

Jingwei Cheng is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Jingwei Cheng has authored 41 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 17 papers in Information Systems and 15 papers in Signal Processing. Recurrent topics in Jingwei Cheng's work include Semantic Web and Ontologies (28 papers), Data Management and Algorithms (15 papers) and Service-Oriented Architecture and Web Services (14 papers). Jingwei Cheng is often cited by papers focused on Semantic Web and Ontologies (28 papers), Data Management and Algorithms (15 papers) and Service-Oriented Architecture and Web Services (14 papers). Jingwei Cheng collaborates with scholars based in China, United States and United Kingdom. Jingwei Cheng's co-authors include Zongmin Ma, Fu Zhang, Tong Shen, Li Yan, Ruizhe Ma, Rafal A. Angryk, Ke Wang, Yan Li, Xing Wang and Dazhen Li and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Fuzzy Sets and Systems.

In The Last Decade

Jingwei Cheng

33 papers receiving 328 citations

Peers

Jingwei Cheng
Rafael Morales-Bueno Spain
Kannan Kirthivasan India
Rahul Hans India
Zongtian Liu China
Yew-Kwong Woon Singapore
Jinglu Hu Japan
Jaak Tepandi Estonia
Nikolas Mitrou Greece
Rasim M. Аlguliev Azerbaijan
Giuseppe Della Penna Italy
Rafael Morales-Bueno Spain
Jingwei Cheng
Citations per year, relative to Jingwei Cheng Jingwei Cheng (= 1×) peers Rafael Morales-Bueno

Countries citing papers authored by Jingwei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Cheng. A scholar is included among the top collaborators of Jingwei Cheng 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 Jingwei Cheng. Jingwei Cheng 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.
Wang, Peijian, et al.. (2025). DLTKG: Denoising Logic-based Temporal Knowledge Graph Reasoning. 18730–18743.
2.
Zhao, Jinling, et al.. (2025). Evaluating the thickness of thin-walled structures from ultrasound signals based on CNN-BILSTM model. Nondestructive Testing And Evaluation. 1–19. 1 indexed citations
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Chen, Hongzhi, Qinghui Li, Xiang Li, et al.. (2024). Triple confidence-aware encoder–decoder model for commonsense knowledge graph completion. International Journal of Machine Learning and Cybernetics. 16(3). 2073–2091.
6.
7.
Shen, Tong, et al.. (2022). A comprehensive overview of knowledge graph completion. Knowledge-Based Systems. 255. 109597–109597. 78 indexed citations
8.
Cheng, Jingwei, et al.. (2021). RDF for temporal data management – a survey. Earth Science Informatics. 14(2). 563–599. 8 indexed citations
9.
Cheng, Jingwei, et al.. (2020). A Syntax-Augmented and Headline-Aware Neural Text Summarization Method. IEEE Access. 8. 218360–218371. 15 indexed citations
10.
Cheng, Jingwei, et al.. (2020). Knowledge Graph Representation Learning With Multi-Scale Capsule-Based Embedding Model Incorporating Entity Descriptions. IEEE Access. 8. 203028–203038. 4 indexed citations
11.
Zhang, Fu & Jingwei Cheng. (2018). Verification of fuzzy UML models with fuzzy Description Logic. Applied Soft Computing. 73. 134–152. 6 indexed citations
12.
Yan, Li, Ruizhe Ma, Dazhen Li, & Jingwei Cheng. (2017). RDF approximate queries based on semantic similarity. Computing. 99(5). 481–491. 10 indexed citations
13.
Zhang, Fu & Jingwei Cheng. (2017). Fuzzy Query over Ontologies Based on Relational Databases. 8. 282–290. 1 indexed citations
14.
Cheng, Jingwei, et al.. (2017). Relaxing of flexible RDF queries: A relative proximity relation-based approach. Journal of Intelligent & Fuzzy Systems. 32(6). 4145–4157.
15.
Zhang, Fu, Jingwei Cheng, & Zongmin Ma. (2016). A survey on fuzzy ontologies for the Semantic Web. The Knowledge Engineering Review. 31(3). 278–321. 21 indexed citations
16.
Cheng, Jingwei. (2013). Approach for Querying RDF with Fuzzy Conditions and User Preferences.
17.
Ma, Zongmin, Fu Zhang, Yan Li, & Jingwei Cheng. (2013). Fuzzy Knowledge Management for the Semantic Web. Studies in fuzziness and soft computing. 14 indexed citations
18.
Wang, Xing, Zongmin Ma, Li Yan, & Jingwei Cheng. (2009). If-Then and If-Then-Unless Rules in the Semantic Web. 357–360. 6 indexed citations
19.
Cheng, Jingwei, Zongmin Ma, Fu Zhang, & Xing Wang. (2008). Conjunctive Query Answering over an f-ALC Knowledge Base. 39. 279–282. 2 indexed citations
20.
Cheng, Jingwei, et al.. (2005). A practical approach to knowledge representation and reasoning in relational databases. 470–471. 1 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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