Lihui Peng

3.0k total citations · 1 hit paper
86 papers, 2.4k citations indexed

About

Lihui Peng is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Lihui Peng has authored 86 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 32 papers in Mechanics of Materials and 21 papers in Biomedical Engineering. Recurrent topics in Lihui Peng's work include Electrical and Bioimpedance Tomography (37 papers), Flow Measurement and Analysis (31 papers) and Non-Destructive Testing Techniques (15 papers). Lihui Peng is often cited by papers focused on Electrical and Bioimpedance Tomography (37 papers), Flow Measurement and Analysis (31 papers) and Non-Destructive Testing Techniques (15 papers). Lihui Peng collaborates with scholars based in China, United States and United Kingdom. Lihui Peng's co-authors include Wuqiang Yang, Jin Zheng, Yunjie Yang, Danya Yao, Ji‐Jiang Yang, Jianqiang Li, B. Florence Scarlett, Henk G. Merkus, Yi Li and Qingfeng Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Lihui Peng

80 papers receiving 2.3k citations

Hit Papers

Image reconstruction algorithms for electrical capacitanc... 2002 2026 2010 2018 2002 250 500 750
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. Image reconstruction algorithms for electrical capacitance tomography
    2002 951 citations Wuqiang Yang, Lihui Peng Measurement Science and Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lihui Peng China 23 1.6k 995 763 562 474 86 2.4k
Piervincenzo Rizzo United States 35 548 0.3× 2.2k 2.2× 1.4k 1.8× 131 0.2× 571 1.2× 185 3.6k
Filippo Attivissimo Italy 29 975 0.6× 130 0.1× 171 0.2× 80 0.1× 584 1.2× 160 2.5k
Qing Wang China 22 538 0.3× 510 0.5× 609 0.8× 20 0.0× 175 0.4× 168 1.8k
Dominik Sankowski Poland 19 740 0.5× 424 0.4× 357 0.5× 209 0.4× 269 0.6× 132 1.2k
Huaxiang Wang China 27 1.9k 1.2× 1.0k 1.0× 969 1.3× 669 1.2× 565 1.2× 227 2.3k
Steve Vanlanduit Belgium 27 531 0.3× 724 0.7× 680 0.9× 29 0.1× 391 0.8× 206 3.0k
Tomasz Rymarczyk Poland 22 1.0k 0.6× 416 0.4× 363 0.5× 295 0.5× 381 0.8× 221 1.6k
Chen Yang China 36 573 0.4× 501 0.5× 745 1.0× 23 0.0× 256 0.5× 151 3.6k
Jamshid Ghaboussi United States 33 81 0.0× 1.0k 1.0× 919 1.2× 126 0.2× 238 0.5× 101 3.8k
Nicola Giaquinto Italy 22 602 0.4× 143 0.1× 131 0.2× 82 0.1× 399 0.8× 108 1.4k

Countries citing papers authored by Lihui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Lihui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Lihui Peng. A scholar is included among the top collaborators of Lihui Peng 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 Lihui Peng. Lihui Peng 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.
Peng, Lihui, et al.. (2025). Deep learning-based image reconstruction for electrical capacitance tomography. Measurement Science and Technology. 36(6). 62003–62003. 1 indexed citations
3.
Pu, Hao, Paul Schonfeld, Taoran Song, et al.. (2025). Environmental suitability analysis integrating carbon emission evaluation for green railway alignment optimization. International Journal of Rail Transportation. 14(1). 45–71. 1 indexed citations
4.
Pu, Hao, Qingliang Zeng, Taoran Song, et al.. (2025). A hybrid proximal policy optimization and particle swarm algorithm for highway alignment optimization. Advanced Engineering Informatics. 69. 103959–103959.
5.
Jiang, Yuxiao, et al.. (2024). A flow rate estimation method for gas–liquid two-phase flow based on filter-enhanced convolutional neural network. Engineering Applications of Artificial Intelligence. 139. 109593–109593. 4 indexed citations
6.
Jiang, Yuxiao, et al.. (2024). A Flowrate Estimation Method for Gas–Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 3 indexed citations
7.
Jiang, Yuxiao, et al.. (2024). A Flow Rate Estimation Method for Gas–Liquid Two-Phase Flow Based on Transformer Neural Network. IEEE Sensors Journal. 24(16). 26902–26913. 5 indexed citations
8.
Pu, Hao, et al.. (2024). Knowledge graph-driven mountain railway alignment optimization integrating karst hazard assessment. Applied Soft Computing. 167. 112421–112421. 4 indexed citations
9.
Pu, Hao, et al.. (2024). Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps. Integrated Computer-Aided Engineering. 31(4). 421–437. 4 indexed citations
10.
Song, Zhihang, Huaxin Pei, Lihui Peng, et al.. (2023). Synthetic Datasets for Autonomous Driving: A Survey. IEEE Transactions on Intelligent Vehicles. 9(1). 1847–1864. 38 indexed citations
11.
Zhang, Yuang, et al.. (2023). Quality Assessment of Image Dataset for Autonomous Driving. 1–6. 1 indexed citations
12.
Pu, Hao, Taoran Song, Paul Schonfeld, et al.. (2023). A 3D Monte Carlo tree search method for railway alignment optimization. Applied Soft Computing. 151. 111158–111158. 9 indexed citations
13.
Zheng, Jin, Haocheng Ma, & Lihui Peng. (2019). A CNN-Based Image Reconstruction for Electrical Capacitance Tomography. 1–6. 23 indexed citations
14.
Zheng, Jin, et al.. (2018). A Benchmark Dataset and Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography. Sensors. 18(11). 3701–3701. 39 indexed citations
15.
16.
Yang, Ji‐Jiang, Jianqiang Li, Yang Zeng, et al.. (2015). Exploiting ensemble learning for automatic cataract detection and grading. Computer Methods and Programs in Biomedicine. 124. 45–57. 126 indexed citations
17.
Peng, Lihui, Chong Li, & Jen‐Chih Yao. (2015). Porosity results on fixed points for nonexpansive set-valued maps in hyperbolic spaces. Journal of Mathematical Analysis and Applications. 428(2). 989–1004. 1 indexed citations
18.
Peng, Lihui, Chong Li, & Jen‐Chih Yao. (2008). Well-posedness of a class of perturbed optimization problems in Banach spaces. Journal of Mathematical Analysis and Applications. 346(2). 384–394. 21 indexed citations
19.
Peng, Lihui & Chong Li. (2007). Uniqueness of simultaneous approximations in continuous function spaces. Applied Mathematics Letters. 21(4). 383–387. 2 indexed citations
20.
Peng, Lihui, et al.. (2007). Necessary and sufficient conditions for the existence of nonnegative solutions of inhomogeneous p-Laplace equation. Acta Mathematica Scientia. 27(1). 34–56. 6 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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