Jianfei Li
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Information Systems
- Topics
- Software-Defined Networks and 5G (8 papers)Advanced Steganography and Watermarking Techniques (6 papers)Complex Network Analysis Techniques (4 papers)
- Cited by
- Radiological and Ultrasound TechnologyComputer Networks and CommunicationsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jianfei Li
48 papers receiving 440 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 127
- Computer Networks and Communications 126
- Computer Vision and Pattern Recognition 79
- Electrical and Electronic Engineering 76
- Information Systems 41
Countries citing papers authored by Jianfei Li
This map shows the geographic impact of Jianfei Li'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 Jianfei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianfei Li more than expected).
Fields of papers citing papers by Jianfei Li
This network shows the impact of papers produced by Jianfei Li. 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 Jianfei Li. The network helps show where Jianfei Li may publish in the future.
Co-authorship network of co-authors of Jianfei Li
This figure shows the co-authorship network connecting the top 25 collaborators of Jianfei Li. A scholar is included among the top collaborators of Jianfei Li 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 Jianfei Li. Jianfei Li 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 | Permutation Equivariant Graph Framelets for Heterophilous Graph Learningbreakdown → | 90 |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Relationship between diameter structure and interspecies of Castanopsis fordii at Yunzhong Mountain in Anxi. | 1 |
| 19 | 2 | |
| 20 | 2 |
About Jianfei Li
Jianfei Li is a scholar working on Computer Vision and Pattern Recognition, Medical Laboratory Technology and Business and International Management, having authored 54 papers that have together received 459 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (8 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (36 citations), Computer Networks and Communications (126 citations) and Artificial Intelligence (127 citations). Jianfei Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Feng Han, Xiaosheng Zhuang, Ming Li, Dan Ni, Peilin Hong, Ruipeng Tong, Hongwei Li, Xiaoyi Yang, Wen Zhang and Wu Chou. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Transactions on Neural Networks and Learning Systems.
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.