Han Wu

1.4k total citations · 1 hit paper
43 papers, 960 citations indexed

About

Han Wu is a scholar working on Civil and Structural Engineering, Materials Chemistry and Building and Construction. According to data from OpenAlex, Han Wu has authored 43 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 8 papers in Materials Chemistry and 7 papers in Building and Construction. Recurrent topics in Han Wu's work include Multi-Criteria Decision Making (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Occupational Health and Safety Research (5 papers). Han Wu is often cited by papers focused on Multi-Criteria Decision Making (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Occupational Health and Safety Research (5 papers). Han Wu collaborates with scholars based in China, United States and Australia. Han Wu's co-authors include Xiaoyi Wang, Zhangqin Huang, Shengqi Yang, Jian He, Junwu Wang, Bao‐Wen Li, Yanan Ma, Xin Zhang, Yimei Xie and Daping He and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Applied Materials & Interfaces.

In The Last Decade

Han Wu

41 papers receiving 925 citations

Hit Papers

Type 2 diabetes mellitus prediction model based on data m... 2017 2026 2020 2023 2017 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. Type 2 diabetes mellitus prediction model based on data mining
    2017 250 citations Han Wu, Shengqi Yang et al. Informatics in Medicine Unlocked profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Wu China 15 252 250 224 188 174 43 960
Wenhao Zhu China 22 495 2.0× 389 1.6× 66 0.3× 369 2.0× 139 0.8× 133 1.8k
Jonghun Kim South Korea 17 233 0.9× 280 1.1× 111 0.5× 90 0.5× 70 0.4× 86 1.2k
Chengwei Huang China 15 73 0.3× 268 1.1× 19 0.1× 218 1.2× 90 0.5× 98 1.1k
Haocheng Li China 16 155 0.6× 242 1.0× 76 0.3× 47 0.3× 45 0.3× 59 935
Yue He China 20 254 1.0× 177 0.7× 7 0.0× 267 1.4× 96 0.6× 71 1.2k
Han-Saem Park South Korea 22 90 0.4× 514 2.1× 9 0.0× 85 0.5× 101 0.6× 59 1.3k
Yuh‐Chung Hu Taiwan 17 81 0.3× 258 1.0× 8 0.0× 87 0.5× 179 1.0× 49 846
Ramizi Mohamed Malaysia 13 264 1.0× 1.0k 4.0× 6 0.0× 126 0.7× 209 1.2× 74 1.6k
Na Sun China 22 110 0.4× 593 2.4× 6 0.0× 130 0.7× 218 1.3× 61 1.4k
Changhua Zhang China 19 609 2.4× 679 2.7× 8 0.0× 71 0.4× 208 1.2× 71 1.4k

Countries citing papers authored by Han Wu

Since Specialization
Citations

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

Fields of papers citing papers by Han Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Han Wu. A scholar is included among the top collaborators of Han 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 Han Wu. Han Wu 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
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Zhang, Baowei, Liang Qi, Xue Yong, et al.. (2023). Facet-Defect Tolerant Bi-Doped Cs2AgxNa1–xInCl6 Nanoplatelets with a Near-Unity Photoluminescence Quantum Yield. Nano Letters. 23(19). 9050–9055. 15 indexed citations
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Liu, Chenxu, Yanan Ma, Yimei Xie, et al.. (2023). Enhanced Electromagnetic Shielding and Thermal Management Properties in MXene/Aramid Nanofiber Films Fabricated by Intermittent Filtration. ACS Applied Materials & Interfaces. 15(3). 4516–4526. 75 indexed citations
5.
Zhou, Lin, et al.. (2023). Construction cost prediction system based on Random Forest optimized by the Bird Swarm Algorithm. Mathematical Biosciences & Engineering. 20(8). 15044–15074. 10 indexed citations
6.
Xia, Bin, Zhe Wang, Tingting Wang, et al.. (2022). Bridging sheet size controls densification of MXene films for robust electromagnetic interference shielding. iScience. 25(9). 105001–105001. 11 indexed citations
7.
Zhang, Leian, et al.. (2022). Early Warning of the Construction Safety Risk of a Subway Station Based on the LSSVM Optimized by QPSO. Applied Sciences. 12(11). 5712–5712. 6 indexed citations
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Wang, Junwu, et al.. (2021). Study of a System Dynamics Model of Wuhan Commodity Housing Price. Advances in Civil Engineering. 2021(1). 3 indexed citations
10.
Wang, Junwu, et al.. (2021). Profit distribution of IPD projects using fuzzy alliance. Engineering Construction & Architectural Management. 28(8). 2069–2089. 10 indexed citations
11.
Liu, Denghui, et al.. (2020). The Prediction of Metro Shield Construction Cost Based on a Backpropagation Neural Network Improved by Quantum Particle Swarm Optimization. Advances in Civil Engineering. 2020(1). 4 indexed citations
12.
Liu, Denghui, et al.. (2020). Study on Foundation Pit Construction Cost Prediction Based on the Stacked Denoising Autoencoder. Mathematical Problems in Engineering. 2020. 1–16. 4 indexed citations
13.
Wu, Han, et al.. (2020). Research on the evaluation of the resilience of subway station projects to waterlogging disasters based on the projection pursuit model. Mathematical Biosciences & Engineering. 17(6). 7302–7331. 28 indexed citations
14.
Wu, Han, et al.. (2020). Research on decision-making of emergency plan for waterlogging disaster in subway station project based on linguistic intuitionistic fuzzy set and TOPSIS. Mathematical Biosciences & Engineering. 17(5). 4825–4851. 13 indexed citations
15.
Wu, Han, Junwu Wang, & Mengyu Wang. (2020). Shield Construction Safety Risk Assessment of Metro Tunnels Based on Cloud Model. 5 indexed citations
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Wang, Lei, et al.. (2017). The Interactive Influence of Perceived Ownership and Perceived Choosership of Stocks on Brain Response to Stock Outcomes. Frontiers in Psychology. 8. 8–8. 27 indexed citations
18.
Wu, Han, Shengqi Yang, Zhangqin Huang, Jian He, & Xiaoyi Wang. (2017). Type 2 diabetes mellitus prediction model based on data mining. Informatics in Medicine Unlocked. 10. 100–107. 250 indexed citations breakdown →
19.
Wu, Han, Xing Liu, Ping Wei, et al.. (2016). Fabrication and Characterization of Brush-Printed p-Type Bi0.5Sb1.5Te3 Thick Films for Thermoelectric Cooling Devices. Journal of Electronic Materials. 46(5). 2950–2957. 20 indexed citations
20.
Liu, Xing, Wenyu Zhao, Hongyu Zhou, et al.. (2015). Fabrication and Optimization of Brush-Printed n-type Bi2Te3 Thick Films for Thermoelectric Cooling Devices. Journal of Electronic Materials. 45(3). 1328–1335. 18 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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