Peng Ni

425 total citations
29 papers, 290 citations indexed

About

Peng Ni is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Ni has authored 29 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Civil and Structural Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Ni's work include Structural Health Monitoring Techniques (5 papers), Infrastructure Maintenance and Monitoring (4 papers) and Advanced Image Fusion Techniques (2 papers). Peng Ni is often cited by papers focused on Structural Health Monitoring Techniques (5 papers), Infrastructure Maintenance and Monitoring (4 papers) and Advanced Image Fusion Techniques (2 papers). Peng Ni collaborates with scholars based in China, Hong Kong and Australia. Peng Ni's co-authors include Limin Sun, Yixian Li, Chen Wang, Yong Xia, Ping Zhong, Runsheng Wang, Xueqian Fu, Feifei Yang, Chunhong Zhang and Yang Ji and has published in prestigious journals such as Chemosphere, Sensors and Mechanical Systems and Signal Processing.

In The Last Decade

Peng Ni

26 papers receiving 278 citations

Peers

Peng Ni
Mingxuan Zhou China
Ivan Rizzo Guilherme Brazil
Xiaoxiao Liu China
Jiaxin Wang China
Xueqiang Zhang China
Ioannis Kyriakides Cyprus
Donglin Zhu China
Xiaoqing Li China
Mingxuan Zhou China
Peng Ni
Citations per year, relative to Peng Ni Peng Ni (= 1×) peers Mingxuan Zhou

Countries citing papers authored by Peng Ni

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ni. A scholar is included among the top collaborators of Peng Ni 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 Peng Ni. Peng Ni 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.
2.
Ni, Peng, et al.. (2025). Prediction of coalbed methane content based on composite logging parameters and PCA-BP neural network. Journal of Applied Geophysics. 236. 105681–105681. 6 indexed citations
3.
Wu, Hanbin, Peng Ni, Hairui Wang, et al.. (2025). Normal fetal echocardiography ratios - a multicenter cross-sectional retrospective study. Journal of Perinatal Medicine. 53(5). 645–653.
4.
Chang, Guozhang, et al.. (2024). In situ hydrodeoxygenation of heavy bio-oil using a Ce/Fe-based oxygen carrier in methanol-zero valent aluminum media. Chemosphere. 352. 141338–141338. 5 indexed citations
5.
Ni, Peng, Yabo Zhang, Wenyang Zhang, et al.. (2024). Design and Optimization of Key Parameters for a Machine Vision-Based Walnut Shell–Kernel Separation Device. Agriculture. 14(9). 1632–1632. 2 indexed citations
6.
Feng, Tai, et al.. (2024). Investigation of iron oxide supported on activated coke for catalytic reduction of sulfur dioxide by carbon monoxide. Journal of Analytical and Applied Pyrolysis. 179. 106488–106488. 6 indexed citations
7.
Li, Yixian, Peng Ni, Limin Sun, & Yong Xia. (2023). Finite element model-informed deep learning for equivalent force estimation and full-field response calculation. Mechanical Systems and Signal Processing. 206. 110892–110892. 29 indexed citations
8.
9.
Guo, Xuesong, et al.. (2022). What catalyzes the proactive recovery of peasants from the COVID-19 pandemic? A livelihood perspective in Ningqiang County, China. International Journal of Disaster Risk Reduction. 73. 102920–102920. 8 indexed citations
10.
Ni, Peng, et al.. (2022). Traffic-induced bridge displacement reconstruction using a physics-informed convolutional neural network. Computers & Structures. 271. 106863–106863. 33 indexed citations
11.
Ni, Peng. (2022). Strength Analysis of Shock Strut of Aircraft Landing Gear Based on ANSYS. 111–116. 2 indexed citations
12.
13.
Bao, Weimin, et al.. (2022). A robust real-time flood forecasting method based on error estimation for reservoirs. Journal of Water Supply Research and Technology—AQUA. 71(4). 518–532. 1 indexed citations
14.
Ni, Peng. (2021). Intelligent Containers for the Goods Transport. 99. 1829–1832. 2 indexed citations
15.
Fu, Xueqian, et al.. (2021). A Review of Key Technologies and Trends in the Development of Integrated Heating and Power Systems in Agriculture. Entropy. 23(2). 260–260. 26 indexed citations
16.
Bao, Weimin, et al.. (2018). A Method for Detecting Abrupt Change of Sediment Discharge in the Loess Plateau, China. Water. 10(9). 1183–1183. 7 indexed citations
17.
Ni, Peng, et al.. (2016). Combining interior and exterior characteristics for remote sensing image denoising. Journal of Applied Remote Sensing. 10(2). 25016–25016. 4 indexed citations
18.
Ni, Peng, et al.. (2015). DEPART: Dynamic Route Planning in Stochastic Time-Dependent Public Transit Networks. 1672–1677. 6 indexed citations
19.
Wang, Chen, et al.. (2015). An IoT Application for Fault Diagnosis and Prediction. 726–731. 44 indexed citations
20.
Ni, Peng, Chunhong Zhang, & Yang Ji. (2014). A hybrid method for short-term sensor data forecasting in Internet of Things. 369–373. 12 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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