Fuji Ren
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Experimental and Cognitive Psychology top 1%
- Electrical and Electronic Engineering top 10%
- Information Systems top 1%
- Topics
- Advanced Text Analysis Techniques (117 papers)Topic Modeling (109 papers)Sentiment Analysis and Opinion Mining (109 papers)
- Cited by
- Artificial IntelligenceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanChinaUnited States
In The Last Decade
Fuji Ren
487 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 1.3k
- Experimental and Cognitive Psychology 938
- Electrical and Electronic Engineering 618
- Information Systems 538
Countries citing papers authored by Fuji Ren
This map shows the geographic impact of Fuji Ren'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 Fuji Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuji Ren more than expected).
Fields of papers citing papers by Fuji Ren
This network shows the impact of papers produced by Fuji Ren. 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 Fuji Ren. The network helps show where Fuji Ren may publish in the future.
Co-authorship network of co-authors of Fuji Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Fuji Ren. A scholar is included among the top collaborators of Fuji Ren 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 Fuji Ren. Fuji Ren 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 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 88 | |
| 16 | 30 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | Chinese-Japanese translation of causative sentences using super-function based machine translation system | 0 |
| 20 | Annotating the functional chunks in Chinese sentences | 1 |
About Fuji Ren
Fuji Ren is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 537 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (117 papers), Topic Modeling (109 papers) and Sentiment Analysis and Opinion Mining (109 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Experimental and Cognitive Psychology (938 citations) and Computer Vision and Pattern Recognition (1.3k citations). Fuji Ren has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Changqin Quan, Yu Gu, Mohamed I. Abdel‐Fattah, Xin Kang, Jie Li, Min Hu, Xiao Sun, Yusheng Ji, Yiming Tang and Shingo Kuroiwa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.