Niannian Wang

3.4k total citations · 1 hit paper
137 papers, 2.4k citations indexed

About

Niannian Wang is a scholar working on Civil and Structural Engineering, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Niannian Wang has authored 137 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Civil and Structural Engineering, 23 papers in Ocean Engineering and 21 papers in Mechanical Engineering. Recurrent topics in Niannian Wang's work include Infrastructure Maintenance and Monitoring (40 papers), Geotechnical Engineering and Underground Structures (34 papers) and Geophysical Methods and Applications (21 papers). Niannian Wang is often cited by papers focused on Infrastructure Maintenance and Monitoring (40 papers), Geotechnical Engineering and Underground Structures (34 papers) and Geophysical Methods and Applications (21 papers). Niannian Wang collaborates with scholars based in China, United States and Australia. Niannian Wang's co-authors include Hongyuan Fang, Xuefeng Zhao, Peng Zhao, Duo Ma, Zheng Zou, Jiaxiu Dong, Haobang Hu, Bin Li, Yang Zhang and Yang Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Niannian Wang

126 papers receiving 2.4k citations

Hit Papers

Automatic damage detection of historic masonry buildings ... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Niannian Wang
Qian Xie China
Yue Hou China
Chao Li China
Niannian Wang
Citations per year, relative to Niannian Wang Niannian Wang (= 1×) peers Mingchao Li

Countries citing papers authored by Niannian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Niannian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niannian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Niannian Wang. A scholar is included among the top collaborators of Niannian Wang 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 Niannian Wang. Niannian Wang 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.
Ma, Ying, Bin Li, Hongyuan Fang, et al.. (2025). Fatigue failure behavior of corrosion water supply steel pipes with void around pipes under long-term service load coupling. Engineering Failure Analysis. 174. 109485–109485.
2.
Wang, Niannian, et al.. (2025). Influence of pectin esterification degree on the characteristics of indica rice starch‐pectin composite gels. Journal of the Science of Food and Agriculture. 105(10). 5358–5365. 1 indexed citations
3.
Wang, Niannian, et al.. (2025). Pipeline Leakage Identification Based on Acoustic Sensors and EPSO-1D-CNN-Bi-LSTM Model. Sensors. 25(23). 7355–7355.
4.
Zhai, Kejie, Qiang Chen, Hongyuan Fang, et al.. (2025). Mechanical response of the pressure pipeline rehabilitated by polymer liner under the action of surface load. Journal of Pipeline Science and Engineering. 6(2). 100289–100289.
5.
Li, Bin, Danyang Di, Wei Yu, et al.. (2024). Prediction model of maximum stress for concrete pipes based on XGBoost-PSO algorithm. Structures. 68. 107205–107205. 4 indexed citations
6.
Zhang, Chao, et al.. (2024). UV/thermal dual-cured MWCNTs composites for pipeline rehabilitation: Mechanical properties and damage analysis. Construction and Building Materials. 450. 138602–138602. 6 indexed citations
7.
Fang, Hongyuan, et al.. (2024). A novel classification method for GPR B-scan images based on weak-shot learning. Journal of Applied Geophysics. 221. 105287–105287. 4 indexed citations
8.
Fang, Hongyuan, et al.. (2024). GPR detection localization of underground structures based on deep learning and reverse time migration. NDT & E International. 143. 103043–103043. 35 indexed citations
9.
Fang, Hongyuan, Jiayang Sun, Bin Li, et al.. (2024). Longitudinal and circumferential bending moment responses of dislocated concrete pipes rehabilitated with CIPP liners under traffic loads. Tunnelling and Underground Space Technology. 155. 106222–106222. 4 indexed citations
10.
Ma, Ying, Shuang Wang, Hongyuan Fang, et al.. (2024). A state-of-the-art-review of underground concrete sewage pipelines detection technologies. Measurement. 242. 116268–116268. 3 indexed citations
11.
Zhai, Kejie, Kaidong Wang, Hongyuan Fang, et al.. (2024). Mechanical properties of the liner for strengthening steel pipe under the action of normal fault. Journal of Pipeline Science and Engineering. 5(1). 100225–100225. 5 indexed citations
12.
Wang, Hao, Bin Li, Hongyuan Fang, et al.. (2024). Interface bonding characteristics of the Cured-in-Place Pipe lined steel plates and parameter sensitivity analysis. Structures. 69. 107574–107574. 1 indexed citations
13.
Zhai, Kejie, Hongyuan Fang, Chengchao Guo, et al.. (2024). Using EPS and CFRP liner to strengthen prestressed concrete cylinder pipe. Construction and Building Materials. 412. 134860–134860. 15 indexed citations
14.
Wang, Niannian, et al.. (2024). Advanced YOLO-DeepSort-Based System for Drainage Pipeline Defects Intelligent Detection. IEEE Access. 12. 145857–145870.
15.
Fang, Hongyuan, et al.. (2023). Modeling automatic pavement crack object detection and pixel-level segmentation. Automation in Construction. 150. 104840–104840. 44 indexed citations
16.
Ma, Duo, Hongyuan Fang, Niannian Wang, et al.. (2023). A low-cost 3D reconstruction and measurement system based on structure-from-motion (SFM) and multi-view stereo (MVS) for sewer pipelines. Tunnelling and Underground Space Technology. 141. 105345–105345. 11 indexed citations
17.
Wang, Yin, Bin Li, Hongyuan Fang, et al.. (2023). Shear behavior of a two-component non-water reactive foamed polyurethane (TNFPU) grouting material under different stress levels. Construction and Building Materials. 411. 134429–134429. 7 indexed citations
18.
Li, Bin, Wei Yu, Hongyuan Fang, et al.. (2023). Trenchless rehabilitation of sewage pipelines from the perspective of the whole technology chain: A state-of-the-art review. Tunnelling and Underground Space Technology. 134. 105022–105022. 26 indexed citations
19.
Du, Xueming, Hongyuan Fang, Kang Liu, et al.. (2023). Experimental and practical investigation of reinforcement mechanism on permeable polymer in loose area of drainage pipeline. Tunnelling and Underground Space Technology. 140. 105250–105250. 15 indexed citations
20.
Yang, Baoping, Yabin Zhang, Niannian Wang, et al.. (2020). Synthesis of multielement phosphazene derivative and the study on flame-retardant properties of epoxy resin. High Performance Polymers. 32(10). 1169–1180. 13 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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