Wei Weng
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Shunxiang WuJinghua LiuYuwen LiShigeru FujimuraChin‐Ling ChenYaojin LinYong‐Yuan DengYuling Fan
- Topics
- Scheduling and Optimization Algorithms (28 papers)Advanced Manufacturing and Logistics Optimization (18 papers)Text and Document Classification Technologies (13 papers)
In The Last Decade
Wei Weng
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 543
- Information Systems 382
- Computer Vision and Pattern Recognition 320
- Computational Theory and Mathematics 178
- Industrial and Manufacturing Engineering 165
Countries citing papers authored by Wei Weng
This map shows the geographic impact of Wei Weng'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 Wei Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Weng more than expected).
Fields of papers citing papers by Wei Weng
This network shows the impact of papers produced by Wei Weng. 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 Wei Weng. The network helps show where Wei Weng may publish in the future.
Co-authorship network of co-authors of Wei Weng
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Weng. A scholar is included among the top collaborators of Wei Weng 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 Wei Weng. Wei Weng 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 | 1 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 47 | |
| 13 | 1 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | Point-of-Interest Recommendation Algorithm Based on User Similarity in Location-Based Social Networks | 1 |
| 17 | 2 | |
| 18 | Hierarchical Community Detection Algorithm based on Local Similarity | 1 |
| 19 | 2 | |
| 20 | Economic Growth,Demographic Transition and China's High Savings | 4 |
About Wei Weng
Wei Weng is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Information Systems, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (18 papers) and Text and Document Classification Technologies (13 papers). The work is most often cited by research in Information Systems (382 citations), Artificial Intelligence (543 citations) and Industrial and Manufacturing Engineering (165 citations). Wei Weng has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Shunxiang Wu, Jinghua Liu, Yuwen Li, Shigeru Fujimura, Chin‐Ling Chen, Yaojin Lin, Yong‐Yuan Deng, Yuling Fan, Chih-Ming Wu and Yannan Chen. Their work appears in journals such as European Journal of Operational Research, IEEE Access and Sensors.
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.