Xueming Yan
Impact in
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- Vehicle Routing Optimization Methods
- Advanced Manufacturing and Logistics Optimization
Papers in
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- Topic Modeling 7
- Text and Document Classification Technologies 5
- Advanced Graph Neural Networks 4
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- Multimodal Machine Learning Applications 5
- Co-authors
- Han Huang (9 shared papers)Zhifeng Hao (8 shared papers)Guo Zhong (4 shared papers)Jiahai Wang (1 shared paper)Jingfa Liu (4 shared papers)Guoheng Huang (2 shared papers)Yaochu Jin (12 shared papers)Ting Shu (1 shared paper)
In The Last Decade
Xueming Yan
31 papers receiving 248 citations
Peers
Comparison fields: 5 of 62
- Industrial and Manufacturing Engineering 62
- Computational Mathematics 3
- Computer Vision and Pattern Recognition 74
- Artificial Intelligence 108
- Media Technology 22
Countries citing papers authored by Xueming Yan
This map shows the geographic impact of Xueming Yan'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 Xueming Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueming Yan more than expected).
Fields of papers citing papers by Xueming Yan
This network shows the impact of papers produced by Xueming Yan. 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 Xueming Yan. The network helps show where Xueming Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xueming Yan, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 45 | |
| 2 | 2021 | 36 | |
| 3 | 2021 | 26 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2016 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2023 | 3 |
About Xueming Yan
Xueming Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Automotive Engineering and Building and Construction, having authored 37 papers that have together received 252 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (7 papers), Topic Modeling (7 papers), Text and Document Classification Technologies (5 papers), Multimodal Machine Learning Applications (5 papers), Optimization and Packing Problems (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Transportation and Mobility Innovations (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (62 citations), Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (74 citations), Artificial Intelligence (108 citations) and Media Technology (22 citations). Xueming Yan has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Han Huang, Zhifeng Hao, Guo Zhong, Jiahai Wang, Jingfa Liu, Guoheng Huang, Yaochu Jin, Ting Shu, Shengyi Jiang and Ziang Liu. Their work appears in journals such as Complex & Intelligent Systems, Knowledge-Based Systems, Information Sciences, IEEE Transactions on Emerging Topics in Computational Intelligence and Neurocomputing.
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.