Fanyou Wu

465 total citations · 1 hit paper
11 papers, 335 citations indexed

About

Fanyou Wu is a scholar working on Organic Chemistry, Artificial Intelligence and Transportation. According to data from OpenAlex, Fanyou Wu has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 3 papers in Artificial Intelligence and 3 papers in Transportation. Recurrent topics in Fanyou Wu's work include Wood and Agarwood Research (4 papers), Transportation Planning and Optimization (3 papers) and Topic Modeling (3 papers). Fanyou Wu is often cited by papers focused on Wood and Agarwood Research (4 papers), Transportation Planning and Optimization (3 papers) and Topic Modeling (3 papers). Fanyou Wu collaborates with scholars based in United States, China and Sweden. Fanyou Wu's co-authors include Xiaobo Qu, Cheng Lyu, Yang Liu, Shen Li, Jieping Ye, Eva Haviarová, Bedřich Beneš, Rado Gazo, Yang Liu and Zhiyuan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E Logistics and Transportation Review.

In The Last Decade

Fanyou Wu

9 papers receiving 318 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Can language models be used for real-world urban-delivery route optimization?

2023 124 citations Fanyou Wu, Xiaobo Qu et al. The Innovation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fanyou Wu United States	8	140	108	95	75	47	11	335
Reza Azimi Iran	10	132 0.9×	47 0.4×	146 1.5×	185 2.5×	102 2.2×	36	448
Keiko V. O. Fonseca Brazil	10	154 1.1×	131 1.2×	76 0.8×	28 0.4×	166 3.5×	52	426
Korakot Suwannarat Thailand	7	16 0.1×	29 0.3×	50 0.5×	21 0.3×	37 0.8×	12	329
Ana Carolina Olivera Argentina	10	90 0.6×	220 2.0×	189 2.0×	267 3.6×	38 0.8×	30	507
Arnaud Doniec France	9	49 0.3×	107 1.0×	83 0.9×	128 1.7×	44 0.9×	31	309
Mehdi Najib Morocco	9	55 0.4×	28 0.3×	72 0.8×	35 0.5×	115 2.4×	32	294
Jinqiang Liu China	10	144 1.0×	37 0.3×	38 0.4×	126 1.7×	142 3.0×	25	343
Yimo Yan Hong Kong	6	66 0.5×	82 0.8×	64 0.7×	31 0.4×	30 0.6×	11	268

Countries citing papers authored by Fanyou Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fanyou Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyou Wu. A scholar is included among the top collaborators of Fanyou Wu 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 Fanyou Wu. Fanyou Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Warner, C., Fanyou Wu, Rado Gazo, et al.. (2024). CentralBark Image Dataset and Tree Species Classification Using Deep Learning. Algorithms. 17(5). 179–179.

2.

Wu, Fanyou, et al.. (2023). International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation Models. 5868–5869. 7 indexed citations

3.

Wu, Fanyou, et al.. (2023). Can language models be used for real-world urban-delivery route optimization?. The Innovation. 4(6). 100520–100520. 124 indexed citations breakdown →

4.

Wu, Fanyou, et al.. (2023). Automated tree ring detection of common Indiana hardwood species through deep learning: Introducing a new dataset of annotated images. Information Processing in Agriculture. 11(4). 552–558. 1 indexed citations

5.

Xu, Weijie, Wenxiang Hu, Fanyou Wu, & Srinivasan H. Sengamedu. (2023). DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM. 9040–9057. 8 indexed citations

6.

Liu, Yang, Fanyou Wu, Cheng Lyu, et al.. (2022). Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform. Transportation Research Part E Logistics and Transportation Review. 161. 102694–102694. 97 indexed citations

7.

Wu, Fanyou, Cheng Lyu, & Yang Liu. (2022). A personalized recommendation system for multi-modal transportation systems. SHILAP Revista de lepidopterología. 1(2). 100016–100016. 27 indexed citations

8.

Wu, Fanyou, Rado Gazo, Eva Haviarová, & Bedřich Beneš. (2021). Wood identification based on longitudinal section images by using deep learning. Wood Science and Technology. 55(2). 553–563. 30 indexed citations

9.

Liu, Yang, et al.. (2021). Behavior2vector: Embedding Users’ Personalized Travel Behavior to Vector. IEEE Transactions on Intelligent Transportation Systems. 23(7). 8346–8355. 28 indexed citations

10.

Wu, Fanyou, Rado Gazo, Bedřich Beneš, & Eva Haviarová. (2021). Deep BarkID: a portable tree bark identification system by knowledge distillation. European Journal of Forest Research. 140(6). 1391–1399. 13 indexed citations

11.

Wu, Fanyou & Petri P. Kärenlampi. (2017). Phase transition in a growing network. Journal of Complex Networks. 6(5). 788–799.

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.

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