Yuncheng Jiang
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 2%
- Information Systems top 5%
- Molecular Biology
- Topics
- Semantic Web and Ontologies (26 papers)Topic Modeling (20 papers)Rough Sets and Fuzzy Logic (14 papers)
- Cited by
- Management Science and Operations ResearchComputational Theory and MathematicsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaThe FASEB JournalExpert Systems with Applications
In The Last Decade
Yuncheng Jiang
70 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Management Science and Operations Research 752
- Computational Theory and Mathematics 587
- Artificial Intelligence 584
- Information Systems 157
- Molecular Biology 94
Countries citing papers authored by Yuncheng Jiang
This map shows the geographic impact of Yuncheng Jiang'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 Yuncheng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuncheng Jiang more than expected).
Fields of papers citing papers by Yuncheng Jiang
This network shows the impact of papers produced by Yuncheng Jiang. 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 Yuncheng Jiang. The network helps show where Yuncheng Jiang may publish in the future.
Co-authorship network of co-authors of Yuncheng Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuncheng Jiang. A scholar is included among the top collaborators of Yuncheng Jiang 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 Yuncheng Jiang. Yuncheng Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | Tourism Domain Ontology Construction Based on ε-Connections | 1 |
| 16 | Improved Question Interpretation Method Based on Matching Algorithm of Sentence Template | 2 |
| 17 | Semantic Search Engine for Tourism Information | 2 |
| 18 | A service composition model based on finite state automata | 1 |
| 19 | Quality of Service Driven Agent Service Matchmaking | 4 |
| 20 | Dynamic service matchmaking in intelligent web | 1 |
About Yuncheng Jiang
Yuncheng Jiang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (26 papers), Topic Modeling (20 papers) and Rough Sets and Fuzzy Logic (14 papers). The work is most often cited by research in Management Science and Operations Research (752 citations), Computational Theory and Mathematics (587 citations) and Artificial Intelligence (584 citations). Yuncheng Jiang has collaborated with scholars based in China, Pakistan and Hong Kong. Frequent co-authors include Yong Tang, Qimai Chen, Hai Liu, Yong Tang, Jianchao Tang, Suqin Tang, Xiaopei Zhang, Wenjun Ma, Zhenzhou Chen and Ju Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and Expert Systems with Applications.
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.