Feng Jiang
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Yuefei SuiXu YuDunwei GongCungen CaoJunwei DuYan ChuYing GuoYumin Chen
- Topics
- Rough Sets and Fuzzy Logic (19 papers)Imbalanced Data Classification Techniques (13 papers)Recommender Systems and Techniques (11 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Feng Jiang
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Artificial Intelligence 755
- Information Systems 342
- Computational Theory and Mathematics 311
- Computer Vision and Pattern Recognition 198
- Computer Networks and Communications 163
Countries citing papers authored by Feng Jiang
This map shows the geographic impact of Feng 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 Feng Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Jiang more than expected).
Fields of papers citing papers by Feng Jiang
This network shows the impact of papers produced by Feng 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 Feng Jiang. The network helps show where Feng Jiang may publish in the future.
Co-authorship network of co-authors of Feng Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jiang. A scholar is included among the top collaborators of Feng 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 Feng Jiang. Feng 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 | 14 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 64 | |
| 12 | 31 | |
| 13 | 1 | |
| 14 | Comparative Analysis of Creep Behavior Prediction of Heat Resistant Steel Based on Theta Projection and Composite Model | 3 |
| 15 | Attribute reduction based on approximation decision entropy | 6 |
| 16 | A improved test method for potassium bromide tracer | 1 |
| 17 | Research on verification of behavior requirement patterns based on action sequences | 3 |
| 18 | Research Progress on Dynamic Route Planning of Vehicle Navigation | 4 |
| 19 | The assessment of the packaging materials' environmental friendly character based on the LCA methodology | 1 |
| 20 | Implementation of RBAC in PKI | 1 |
About Feng Jiang
Feng Jiang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (19 papers), Imbalanced Data Classification Techniques (13 papers) and Recommender Systems and Techniques (11 papers). The work is most often cited by research in Artificial Intelligence (755 citations), Computational Theory and Mathematics (311 citations) and Information Systems (342 citations). Feng Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yuefei Sui, Xu Yu, Dunwei Gong, Cungen Cao, Junwei Du, Yan Chu, Ying Guo, Yumin Chen, Lin Zhou and Lingwei Xu. Their work appears in journals such as PLoS ONE, Expert Systems with Applications 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.