Jiangtao Ren
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Topics
- Topic Modeling (26 papers)Natural Language Processing Techniques (12 papers)Advanced Text Analysis Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoScientific Reports
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jiangtao Ren
68 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 599
- Management Science and Operations Research 183
- Information Systems 160
- Computer Vision and Pattern Recognition 125
- Electrical and Electronic Engineering 93
Countries citing papers authored by Jiangtao Ren
This map shows the geographic impact of Jiangtao 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 Jiangtao Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangtao Ren more than expected).
Fields of papers citing papers by Jiangtao Ren
This network shows the impact of papers produced by Jiangtao 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 Jiangtao Ren. The network helps show where Jiangtao Ren may publish in the future.
Co-authorship network of co-authors of Jiangtao Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Jiangtao Ren. A scholar is included among the top collaborators of Jiangtao 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 Jiangtao Ren. Jiangtao 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 5 | |
| 12 | 55 | |
| 13 | A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification | 6 |
| 14 | Eigenvalue Sensitive Feature Selection | 27 |
| 15 | 16 | |
| 16 | 7 | |
| 17 | A GA-based divisive hierarchical clustering algorithm | 0 |
| 18 | A Neural Network Model for Urban Traffic Volumes Compression | 3 |
| 19 | INFORMATION MODEL AND EXCHANGE MODE FOR INFORMATION APPLICATION- ORIENTED ITS | 1 |
| 20 | COMPARISON OF ITS ARCHITECTURE USED IN U.S., E.U. AND JAPAN | 1 |
About Jiangtao Ren
Jiangtao Ren is a scholar working on Computational Mathematics, Artificial Intelligence and Health Information Management, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (599 citations), Management Science and Operations Research (183 citations) and Health Informatics (12 citations). Jiangtao Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weibing He, Zhaopeng Chen, Sau Dan Lee, David W. Cheung, Ben Kao, Reynold Cheng, Zhaoning Li, Wei Fan, Xiaotian Zou and Qi Li. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano 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.