Lingdi Fu

608 total citations
11 papers, 467 citations indexed

About

Lingdi Fu is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Lingdi Fu has authored 11 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ocean Engineering, 4 papers in Mechanical Engineering and 3 papers in Civil and Structural Engineering. Recurrent topics in Lingdi Fu's work include Structural Integrity and Reliability Analysis (3 papers), Coal Properties and Utilization (2 papers) and Energy Load and Power Forecasting (2 papers). Lingdi Fu is often cited by papers focused on Structural Integrity and Reliability Analysis (3 papers), Coal Properties and Utilization (2 papers) and Energy Load and Power Forecasting (2 papers). Lingdi Fu collaborates with scholars based in China and United States. Lingdi Fu's co-authors include Hongfang Lü, Tom Iseley, Kun Huang, Mohammadamin Azimi, Xin Ma, Xinglong Zhang, Changjun Li, Lihua Yin, Weibiao Qiao and Nan Wei and has published in prestigious journals such as Journal of Cleaner Production, Energy and Energies.

In The Last Decade

Lingdi Fu

11 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingdi Fu China 7 173 163 117 105 86 11 467
Mohammed Al‐Khawaja Qatar 17 399 2.3× 132 0.8× 84 0.7× 190 1.8× 54 0.6× 41 884
Weihe Huang China 13 203 1.2× 162 1.0× 83 0.7× 38 0.4× 93 1.1× 27 499
Chaofan Chen China 14 231 1.3× 216 1.3× 167 1.4× 237 2.3× 49 0.6× 43 689
Yanshun Yu China 16 231 1.3× 291 1.8× 25 0.2× 48 0.5× 54 0.6× 51 762
Aihua Liu China 14 98 0.6× 91 0.6× 51 0.4× 69 0.7× 28 0.3× 34 513
Xiaolong Li China 15 115 0.7× 487 3.0× 155 1.3× 110 1.0× 29 0.3× 73 752
Peng Xiong China 11 127 0.7× 190 1.2× 86 0.7× 171 1.6× 28 0.3× 37 554
Byung-Hee Choi South Korea 8 201 1.2× 111 0.7× 81 0.7× 77 0.7× 61 0.7× 38 503

Countries citing papers authored by Lingdi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lingdi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingdi Fu

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

All Works

11 of 11 papers shown
1.
Fu, Lingdi, et al.. (2025). Research on a Simulation Platform for Typical Internal Corrosion Defects in Natural Gas Pipelines Based on Big Data Analysis. Structural durability & health monitoring. 19(4). 1073–1087. 1 indexed citations
2.
Lü, Hongfang, et al.. (2023). Mechanical behavior of high-pressure pipeline installed through horizontal directional drilling under seismic loads. Tunnelling and Underground Space Technology. 136. 105073–105073. 2 indexed citations
3.
Lü, Hongfang, et al.. (2023). Pipeline Inspection and Health Monitoring Technology. 7 indexed citations
4.
Wei, Nan, Lihua Yin, Wei Wang, et al.. (2022). Short-term load forecasting using detrend singular spectrum fluctuation analysis. Energy. 256. 124722–124722. 23 indexed citations
5.
Lü, Hongfang, et al.. (2022). An Effective Data-Driven Model for Predicting Energy Consumption of Long-Distance Oil Pipelines. Journal of Pipeline Systems Engineering and Practice. 13(2). 12 indexed citations
6.
Wang, Baoqing, Zhi Zhang, Kun Huang, et al.. (2022). Stress and Pressure Pulsation Analysis of Low Temperature Compressor Piping System in LNG Vaporizing Station. Energies. 15(5). 1874–1874. 1 indexed citations
7.
Tan, Kaixuan, et al.. (2021). Flow Microbalance Simulation of Pumping and Injection Unit in In Situ Leaching Uranium Mining Area. Processes. 9(8). 1288–1288. 7 indexed citations
8.
Lü, Hongfang, et al.. (2020). Leakage detection techniques for oil and gas pipelines: State-of-the-art. Tunnelling and Underground Space Technology. 98. 103249–103249. 216 indexed citations
9.
Lü, Hongfang, Xin Ma, Kun Huang, Lingdi Fu, & Mohammadamin Azimi. (2020). Carbon dioxide transport via pipelines: A systematic review. Journal of Cleaner Production. 266. 121994–121994. 132 indexed citations
10.
Lü, Hongfang, Guo‐guang Ma, Mohammadamin Azimi, & Lingdi Fu. (2019). Application of Supergravity Technology in a TEG Dehydration Process for Offshore Platforms. Processes. 7(1). 43–43. 3 indexed citations
11.
Lü, Hongfang, et al.. (2018). Study on leakage and ventilation scheme of gas pipeline in tunnel. Journal of Natural Gas Science and Engineering. 53. 347–358. 63 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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