Fang Wei
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Topics
- Advanced Database Systems and Queries (7 papers)Data Management and Algorithms (7 papers)Logic, Reasoning, and Knowledge (4 papers)
In The Last Decade
Fang Wei
24 papers receiving 315 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 137
- Signal Processing 114
- Artificial Intelligence 109
- Computational Theory and Mathematics 75
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Fang Wei
This map shows the geographic impact of Fang Wei'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 Fang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Wei more than expected).
Fields of papers citing papers by Fang Wei
This network shows the impact of papers produced by Fang Wei. 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 Fang Wei. The network helps show where Fang Wei may publish in the future.
Co-authorship network of co-authors of Fang Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wei. A scholar is included among the top collaborators of Fang Wei 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 Fang Wei. Fang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 42 | |
| 8 | Bibliographic Quantitative Classification Method: A Journal Classification Method for Journal Evaluation | 1 |
| 9 | 9 | |
| 10 | 107 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 8 | |
| 14 | 37 | |
| 15 | Abduction with bounded treewidth: from theoretical tractability to practically efficient computation | 5 |
| 16 | Efficient datalog abduction through bounded treewidth | 7 |
| 17 | Bounded treewidth as a key to tractability of knowledge representation and reasoning | 22 |
| 18 | Triple Helix Model in Innovation Research: Concept,Structure and Public Policy Implication | 4 |
| 19 | Conjunctive Query Containment in the Presence of Disjunctive Integrity Constraints. | 2 |
| 20 | 4 |
About Fang Wei
Fang Wei is a scholar working on Signal Processing, Computational Theory and Mathematics and Computer Networks and Communications, having authored 25 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Data Management and Algorithms (7 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Signal Processing (114 citations), Computer Networks and Communications (137 citations) and Computational Theory and Mathematics (75 citations). Fang Wei has collaborated with scholars based in Austria, Germany and China. Frequent co-authors include Reinhard Pichler, Georg Gottlob, Ju Wu, Xucheng Fu, Mei Yang, Chenggen Xie, Shan Gao, Georg Lausen, Michael Meier and Xiaochun Yin. Their work appears in journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Journal of Hydrology.
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.