Difei Wu

1.2k total citations
48 papers, 840 citations indexed

About

Difei Wu is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Difei Wu has authored 48 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Civil and Structural Engineering, 13 papers in Electrical and Electronic Engineering and 8 papers in Ocean Engineering. Recurrent topics in Difei Wu's work include Infrastructure Maintenance and Monitoring (42 papers), Asphalt Pavement Performance Evaluation (22 papers) and Structural Health Monitoring Techniques (13 papers). Difei Wu is often cited by papers focused on Infrastructure Maintenance and Monitoring (42 papers), Asphalt Pavement Performance Evaluation (22 papers) and Structural Health Monitoring Techniques (13 papers). Difei Wu collaborates with scholars based in China, Hong Kong and Singapore. Difei Wu's co-authors include Chenglong Liu, Yuchuan Du, Yishun Li, Hongduo Zhao, Feng Li, Shengchuan Jiang, Jianming Ling, Siyu Li, Jing Cao and Yuchao Lin and has published in prestigious journals such as Construction and Building Materials, International Journal of Environmental Research and Public Health and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Difei Wu

42 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Difei Wu China	16	610	146	127	106	102	48	840
Yishun Li China	13	351 0.6×	113 0.8×	68 0.5×	153 1.4×	95 0.9×	37	650
Zhoujing Ye China	15	502 0.8×	240 1.6×	122 1.0×	71 0.7×	105 1.0×	53	822
Hamzeh Zakeri Iran	16	710 1.2×	200 1.4×	59 0.5×	101 1.0×	66 0.6×	33	964
Binbin Li China	19	359 0.6×	101 0.7×	288 2.3×	72 0.7×	138 1.4×	55	1.5k
Fernando Moreu United States	18	787 1.3×	199 1.4×	174 1.4×	50 0.5×	143 1.4×	89	1.1k
Yousok Kim South Korea	21	966 1.6×	139 1.0×	134 1.1×	54 0.5×	273 2.7×	57	1.3k
Mohsen Mousavi Australia	18	581 1.0×	186 1.3×	88 0.7×	51 0.5×	68 0.7×	49	947
Nizar Faisal Alkayem China	16	586 1.0×	211 1.4×	126 1.0×	43 0.4×	67 0.7×	34	917
Shi Qiu China	12	546 0.9×	146 1.0×	91 0.7×	72 0.7×	46 0.5×	40	759
You‐Wu Wang Hong Kong	21	686 1.1×	239 1.6×	59 0.5×	51 0.5×	37 0.4×	74	1.3k

Countries citing papers authored by Difei Wu

Since Specialization

Citations

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

Fields of papers citing papers by Difei Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Difei Wu

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

All Works

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20 of 20 papers shown

Liu, Chenglong, et al.. (2025). Research paradigms and scales of asphalt pavement skid resistance evaluation: A review. Friction. 14(2). 9441082–9441082. 3 indexed citations

Shen, Yu, et al.. (2025). Self-calibration method for vehicle–road perception fusion in connected environments. Transportmetrica A Transport Science. 1–24.

Li, Yishun, et al.. (2025). Aggregate-level 3D analysis of asphalt pavement deterioration using laser scanning and vision transformer. Automation in Construction. 178. 106380–106380. 6 indexed citations

Wu, Difei, et al.. (2025). STGAN: Spatial-Temporal Graph Autoregression Network for Pavement Distress Deterioration Prediction. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10764–10779.

Du, Yuchuan, et al.. (2025). Engineering-Adaptive Pavement Maintenance Decision-Making Model: A Reinforcement Learning Approach From Expert Feedback. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10865–10880.

Leng, Zhen, et al.. (2025). Tire abrasion induced patterns of pavement reflectivity characteristics from lab to field. Construction and Building Materials. 489. 142222–142222.

Wu, Difei, et al.. (2025). Enhanced GPR signal interpretation via deep learning fusion for unveiling road subsurface conditions. Measurement. 249. 117007–117007. 3 indexed citations

Jiang, Shengchuan, et al.. (2024). Pavement compactness estimation based on 3D pavement texture features. Case Studies in Construction Materials. 21. e03768–e03768. 4 indexed citations

Wu, Difei. (2024). Ride Comfort Prediction on Urban Road Using Discrete Pavement Roughness Index. Applied Sciences. 14(7). 3108–3108. 3 indexed citations

10.

Hou, Yongping, et al.. (2024). Bridging Data Distribution Gaps: Test-Time Adaptation for Enhancing Cross-Scenario Pavement Distress Detection. Applied Sciences. 14(24). 11974–11974.

11.

Fang, Hongyuan, et al.. (2023). Modeling automatic pavement crack object detection and pixel-level segmentation. Automation in Construction. 150. 104840–104840. 44 indexed citations

12.

Lin, Yuchao, et al.. (2023). Study of Pavement Macro- and Micro-Texture Evolution Law during Compaction Using 3D Laser Scanning Technology. Applied Sciences. 13(9). 5736–5736. 12 indexed citations

13.

Liu, Chenglong, et al.. (2023). Advances in automatic identification of road subsurface distress using ground penetrating radar: State of the art and future trends. Automation in Construction. 158. 105185–105185. 41 indexed citations

14.

Xiang, Hui, et al.. (2022). Pavement texture depth estimation using image-based multiscale features. Automation in Construction. 141. 104404–104404. 24 indexed citations

15.

Du, Yuchuan, et al.. (2021). Promoting the pavement skid resistance estimation by extracting tire-contacted texture based on 3D surface data. Construction and Building Materials. 307. 124729–124729. 28 indexed citations

16.

Liu, Chenglong, Difei Wu, Cong Zhao, Yuchuan Du, & Yishun Li. (2021). Concept and Framework of the New Generation of Smart Highway. 1 indexed citations

17.

Wu, Difei, et al.. (2021). Detection and localization of debonding beneath concrete pavement using transmissibility function analysis. Mechanical Systems and Signal Processing. 159. 107802–107802. 8 indexed citations

18.

Liu, Chenglong, et al.. (2021). New Generation of Smart Highway: Framework and Insights. Journal of Advanced Transportation. 2021. 1–12. 7 indexed citations

19.

Zhao, Hongduo, et al.. (2019). Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network. Construction and Building Materials. 216. 214–226. 26 indexed citations

20.

Wu, Difei, et al.. (2018). A Vibration-Based System for Cavity-Underneath Identification of Concrete Pavement. Transportation Research Board 97th Annual MeetingTransportation Research Board. 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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