Wei Weng
Impact in
- Artificial Intelligence top 2%
- Text and Document Classification Technologies
- Information Systems top 2%
- Blockchain Technology Applications and Security
- Web Data Mining and Analysis
- Spam and Phishing Detection
Papers in
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- Text and Document Classification Technologies 13
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- Scheduling and Optimization Algorithms 28
- Advanced Manufacturing and Logistics Optimization 18
- Assembly Line Balancing Optimization 12
- Co-authors
- Shunxiang Wu (12 shared papers)Jinghua Liu (9 shared papers)Yuwen Li (6 shared papers)Shigeru Fujimura (28 shared papers)Yaojin Lin (3 shared papers)Chin‐Ling Chen (14 shared papers)Yong‐Yuan Deng (10 shared papers)Yuling Fan (6 shared papers)
In The Last Decade
Wei Weng
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 557
- Information Systems 388
- Industrial and Manufacturing Engineering 169
- Computer Vision and Pattern Recognition 322
- Computational Theory and Mathematics 181
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-authors
The 25 scholars most cited alongside Wei Weng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2017 | 78 | |
| 3 | 2022 | 71 | |
| 4 | 2020 | 65 | |
| 5 | 2018 | 62 | |
| 6 | 2022 | 48 | |
| 7 | 2020 | 42 | |
| 8 | 2020 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 31 | |
| 11 | 2019 | 26 | |
| 12 | 2023 | 24 | |
| 13 | 2020 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2012 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2011 | 13 |
About Wei Weng
Wei Weng is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 94 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), Text and Document Classification Technologies (13 papers), Assembly Line Balancing Optimization (12 papers), Blockchain Technology Applications and Security (10 papers), Image Retrieval and Classification Techniques (10 papers), Face and Expression Recognition (5 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Artificial Intelligence (557 citations), Information Systems (388 citations), Industrial and Manufacturing Engineering (169 citations), Computer Vision and Pattern Recognition (322 citations) and Computational Theory and Mathematics (181 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, Yaojin Lin, Chin‐Ling Chen, Yong‐Yuan Deng, Yuling Fan, Chih-Ming Wu and Yannan Chen. Their work appears in journals such as Neurocomputing, Symmetry, Applied Intelligence, International Journal of Systems Science and International Journal of Applied Earth Observation and Geoinformation.
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.