Fanyou Wu
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Automotive Engineering top 5%
- Transportation and Mobility Innovations
- Autonomous Vehicle Technology and Safety
Papers in
-
- Wood and Agarwood Research 4
-
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Co-authors
- Xiaobo Qu (2 shared papers)Cheng Lyu (3 shared papers)Yang Liu (2 shared papers)Jieping Ye (1 shared paper)Shen Li (1 shared paper)Bedřich Beneš (4 shared papers)Rado Gazo (4 shared papers)Eva Haviarová (2 shared papers)
- Journals
- Wood Science and Technology (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Complex Networks (1 paper)Information Processing in Agriculture (1 paper)European Journal of Forest Research (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Fanyou Wu
9 papers receiving 338 citations
Fanyou Wu's Hit Papers
Peers
Comparison fields: 5 of 66
- Transportation 111
- Automotive Engineering 144
- Building and Construction 95
- Industrial and Manufacturing Engineering 45
- Control and Systems Engineering 75
Countries citing papers authored by Fanyou Wu
This map shows the geographic impact of Fanyou Wu'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 Fanyou Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanyou Wu more than expected).
Fields of papers citing papers by Fanyou Wu
This network shows the impact of papers produced by Fanyou Wu. 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 Fanyou Wu. The network helps show where Fanyou Wu may publish in the future.
Co-authors
The 19 scholars most cited alongside Fanyou Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Can language models be used for real-world urban-delivery route optimization? Hit paper breakdown → | 2023 | 128 |
| 2 | 2022 | 99 | |
| 3 | 2021 | 32 | |
| 4 | 2021 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 13 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2017 | 0 |
About Fanyou Wu
Fanyou Wu is a scholar working on Organic Chemistry, Artificial Intelligence, Transportation, Environmental Engineering and Cell Biology, having authored 11 papers that have together received 346 indexed citations. Recurring topics across this work include Wood and Agarwood Research (4 papers), Remote Sensing and LiDAR Applications (3 papers), Topic Modeling (3 papers), Transportation Planning and Optimization (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Natural Language Processing Techniques (2 papers), Human Mobility and Location-Based Analysis (2 papers) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Transportation (111 citations), Automotive Engineering (144 citations), Building and Construction (95 citations), Industrial and Manufacturing Engineering (45 citations) and Control and Systems Engineering (75 citations). Fanyou Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xiaobo Qu, Cheng Lyu, Yang Liu, Jieping Ye, Shen Li, Bedřich Beneš, Rado Gazo, Eva Haviarová, Yang Liu and Zhiyuan Liu. Their work appears in journals such as Wood Science and Technology, IEEE Transactions on Intelligent Transportation Systems, Journal of Complex Networks, Information Processing in Agriculture and European Journal of Forest Research.
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.