Wang Yuan

1.6k total citations · 1 hit paper
44 papers, 1.1k citations indexed

About

Wang Yuan is a scholar working on Building and Construction, Industrial and Manufacturing Engineering and Signal Processing. According to data from OpenAlex, Wang Yuan has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Building and Construction, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Signal Processing. Recurrent topics in Wang Yuan's work include Urban and Freight Transport Logistics (7 papers), Data Management and Algorithms (5 papers) and Traffic Prediction and Management Techniques (4 papers). Wang Yuan is often cited by papers focused on Urban and Freight Transport Logistics (7 papers), Data Management and Algorithms (5 papers) and Traffic Prediction and Management Techniques (4 papers). Wang Yuan collaborates with scholars based in China, Singapore and United States. Wang Yuan's co-authors include Loo Hay Lee, Dongxiang Zhang, Qing Liu, Fumin Shen, Ying Liu, Bo Dai, Chao Xing, Ek Peng Chew, Lu Hu and Heng Tao Shen and has published in prestigious journals such as Nature Communications, Atmospheric Environment and Expert Systems with Applications.

In The Last Decade

Wang Yuan

42 papers receiving 1.1k citations

Hit Papers

Towards enhancing the last-mile delivery: An effective cr... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions
    2016 260 citations Wang Yuan, Dongxiang Zhang et al. Transportation Research Part E Logistics and Transportation Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wang Yuan China 15 530 294 273 236 137 44 1.1k
Bo Zou United States 25 486 0.9× 576 2.0× 564 2.1× 278 1.2× 138 1.0× 88 1.9k
Hai Jiang China 18 205 0.4× 172 0.6× 294 1.1× 161 0.7× 123 0.9× 65 914
Christine L. Mumford United Kingdom 18 177 0.3× 302 1.0× 345 1.3× 313 1.3× 52 0.4× 39 1.0k
Pradeep Varakantham Singapore 21 423 0.8× 368 1.3× 342 1.3× 176 0.7× 88 0.6× 112 1.7k
Domokos Esztergár‐Kiss Hungary 24 292 0.6× 749 2.5× 790 2.9× 87 0.4× 227 1.7× 133 1.6k
Zhongzhen Yang China 20 473 0.9× 420 1.4× 778 2.8× 518 2.2× 43 0.3× 87 1.4k
Saeed Asadi Bagloee Australia 21 555 1.0× 709 2.4× 813 3.0× 108 0.5× 55 0.4× 58 2.0k
Burak Ekşioğlu United States 17 252 0.5× 331 1.1× 103 0.4× 757 3.2× 42 0.3× 49 1.4k
Yu‐Chiun Chiou Taiwan 23 371 0.7× 187 0.6× 743 2.7× 86 0.4× 101 0.7× 74 1.5k
Jan Fabian Ehmke Germany 21 822 1.6× 788 2.7× 488 1.8× 935 4.0× 165 1.2× 72 1.6k

Countries citing papers authored by Wang Yuan

Since Specialization
Citations

This map shows the geographic impact of Wang Yuan'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 Wang Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Yuan more than expected).

Fields of papers citing papers by Wang Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang Yuan. 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 Wang Yuan. The network helps show where Wang Yuan may publish in the future.

Co-authorship network of co-authors of Wang Yuan

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

All Works

20 of 20 papers shown
1.
Guan, Feifei, Dongdong Zhang, Wei Liu, et al.. (2025). DLFea4AMPGen de novo design of antimicrobial peptides by integrating features learned from deep learning models. Nature Communications. 16(1). 9134–9134. 2 indexed citations
2.
Yuan, Wang, et al.. (2024). Integrating one-to-many peer-to-peer ridesharing and public transit for morning commute on a mobility-as-a-service platform. Transportmetrica A Transport Science. 22(1). 3 indexed citations
3.
Yuan, Wang. (2024). Study on English Translation Skills from a Cross Cultural Perspective. 8. 94–98. 1 indexed citations
4.
Lin, Yun Hui, Qingyun Tian, Dongdong He, & Wang Yuan. (2023). Revisiting Stackelberg p-median problem with user preferences. Computers & Operations Research. 161. 106429–106429. 2 indexed citations
5.
Yuan, Wang, et al.. (2021). Wave order picking under the mixed-shelves storage strategy: A solution method and advantages. Computers & Operations Research. 137. 105556–105556. 27 indexed citations
6.
Yuan, Wang, et al.. (2021). Application of Computer Vision Technology in Agricultural Products and Food Inspection. Journal of Physics Conference Series. 1915(3). 32045–32045. 3 indexed citations
7.
Yuan, Wang, et al.. (2020). Features and main stages of China’s digital economy formation. 8(210). 39–43. 3 indexed citations
8.
Yuan, Wang, et al.. (2020). Dynamic Incentive Mechanism for Delivery Slot Management in E-Commerce Attended Home Delivery. Transportation Science. 54(3). 567–587. 40 indexed citations
9.
Yuan, Wang, Yanqiu Liu, Yanrong Wang, et al.. (2020). Relationship between circadian typology and risk-taking behaviors in adolescents: A cross-sectional study. Annales Médico-psychologiques revue psychiatrique. 179(8). 694–699. 1 indexed citations
10.
Yuan, Wang, Dongxiang Zhang, Ying Liu, & Kian‐Lee Tan. (2019). Trajectory Forecasting With Neural Networks: An Empirical Evaluation and A New Hybrid Model. IEEE Transactions on Intelligent Transportation Systems. 21(10). 4400–4409. 12 indexed citations
11.
12.
Yuan, Wang, et al.. (2018). A comparative study of pseudo-static slope stability analysis using different design codes. Water Science and Engineering. 11(4). 310–317. 8 indexed citations
13.
Hu, Lu, et al.. (2018). Joint design of fleet size, hub locations, and hub capacities for third-party logistics networks with road congestion constraints. Transportation Research Part E Logistics and Transportation Review. 118. 568–588. 26 indexed citations
14.
15.
Zhang, Yuling, et al.. (2015). Factors driving environmentally responsible behaviors by tourists: a case study of Taiwan, China.. Luyou xuekan. 30(7). 49–59. 11 indexed citations
16.
Yuan, Wang & Jian Huang. (2015). Indoor localization with incomplete observation using set-membership filter. 18. 1–7. 2 indexed citations
17.
Yuan, Wang, et al.. (2014). A model of temporal changes in destination images.. Luyou xuekan. 29(10). 20–30. 1 indexed citations
18.
Yuan, Wang, et al.. (2013). Affective Factors in Oral English Teaching and Learning. Higher education of social science. 5(3). 57–61. 25 indexed citations
19.
Yuan, Wang. (2009). Metabolism Laws and Application of Hormone in Production of Bud Vegetable of Toona sinensis Roem. 1 indexed citations
20.
Yuan, Wang. (2005). Reform in teaching of the electric circuit analysis course. Journal of Shaanxi Normal University. 2 indexed citations

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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