Ruqian Lu
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Electrical and Electronic Engineering
- Information Systems top 5%
- Topics
- Semantic Web and Ontologies (11 papers)Machine Learning in Bioinformatics (7 papers)Advanced Algebra and Logic (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ruqian Lu
61 papers receiving 895 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 305
- Computational Theory and Mathematics 182
- Materials Chemistry 176
- Electrical and Electronic Engineering 163
- Information Systems 160
Countries citing papers authored by Ruqian Lu
This map shows the geographic impact of Ruqian Lu'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 Ruqian Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruqian Lu more than expected).
Fields of papers citing papers by Ruqian Lu
This network shows the impact of papers produced by Ruqian Lu. 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 Ruqian Lu. The network helps show where Ruqian Lu may publish in the future.
Co-authorship network of co-authors of Ruqian Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Ruqian Lu. A scholar is included among the top collaborators of Ruqian Lu 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 Ruqian Lu. Ruqian Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 11 | |
| 4 | Locally Preserving Projection on Symmetric Positive Definite Matrix Lie Group | 1 |
| 5 | 3 | |
| 6 | 20 | |
| 7 | A Historical Document, A Piece of Precious Memory Editorial. | 1 |
| 8 | 2 | |
| 9 | Measuring Software Requirements Evolution Caused by Inconsistency. | 1 |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | Domain Knowledge Representation: Using an Ontology Language. | 1 |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | Agent-oriented commonsense knowledge base | 1 |
| 19 | 0 | |
| 20 | Computer-aided grammar acquisition in the Chinese understanding system CUSAGA | 1 |
About Ruqian Lu
Ruqian Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software, having authored 68 papers that have together received 939 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Machine Learning in Bioinformatics (7 papers) and Advanced Algebra and Logic (7 papers). The work is most often cited by research in Computational Theory and Mathematics (182 citations), Artificial Intelligence (305 citations) and Polymers and Plastics (109 citations). Ruqian Lu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Meikang Qiu, Han Qiu, Songmao Zhang, Zhi Jin, Ran Li, Lixin Zhang, Jian Li, Youqing Shen, Hui Chen and Xiao Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.