Mengxing Guo

548 total citations · 3 hit papers
13 papers, 473 citations indexed

About

Mengxing Guo is a scholar working on Electrical and Electronic Engineering, Oncology and Artificial Intelligence. According to data from OpenAlex, Mengxing Guo has authored 13 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Oncology and 3 papers in Artificial Intelligence. Recurrent topics in Mengxing Guo's work include Energy Load and Power Forecasting (4 papers), CAR-T cell therapy research (3 papers) and Solar Radiation and Photovoltaics (3 papers). Mengxing Guo is often cited by papers focused on Energy Load and Power Forecasting (4 papers), CAR-T cell therapy research (3 papers) and Solar Radiation and Photovoltaics (3 papers). Mengxing Guo collaborates with scholars based in China, United States and Australia. Mengxing Guo's co-authors include Mengxia Wang, Wei Wei, Jinxin Deng, Chaoyang Zhu, Yiwei Cai, Wei Wei, Chaoyang Zhu, Qitai Zhao, Yu Qi and Yi Zhang and has published in prestigious journals such as Energy, Applied Thermal Engineering and Journal of Translational Medicine.

In The Last Decade

Mengxing Guo

11 papers receiving 464 citations

Hit Papers

align trajectories

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.

An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat

2024 110 citations Chaoyang Zhu, Mengxia Wang et al. Energy profile →
Optimization, validation and analyses of a hybrid PV-battery-diesel power system using enhanced electromagnetic field optimization algorithm and ε-constraint

2024 89 citations Mengxia Wang, Yiwei Cai et al. Energy Reports profile →
Simulation and comprehensive study of a new trigeneration process combined with a gas turbine cycle, involving transcritical and supercritical CO2 power cycles and Goswami cycle

2024 84 citations Chaoyang Zhu, Mengxia Wang et al. Journal of Thermal Analysis and Calorimetry profile →

Peers

Mengxing Guo

EEE

RESE

EEPT

Ziyi Liu China

Dong‐Won Lee South Korea

Mohamed Ezzat Egypt

Ayman Mdallal United Arab Emirates

Lu Shen China

Roberto Baccoli Italy

Lei Huang China

Haotian Li China

Farah Ramadhani Malaysia

Ziyi Liu China

Mengxing Guo

244 ×1.3

EEE

50 ×0.4

RESE

59 ×0.5

52 ×0.6

EEPT

64 ×0.8

Citations per year, relative to Mengxing Guo Mengxing Guo (= 1×) peers Ziyi Liu

Countries citing papers authored by Mengxing Guo

Since Specialization

Citations

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

Fields of papers citing papers by Mengxing Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxing Guo

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

All Works

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13 of 13 papers shown

Zhang, Hongyan, Mengxing Guo, Yujia Zhai, et al.. (2025). TGF-β-activated NK-92 cell therapy for esophageal squamous cell carcinoma. International Immunopharmacology. 164. 115329–115329.

Wang, Mengxia, et al.. (2025). Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction. Cognitive Computation. 17(1).

Liu, Zekun, Mengxing Guo, Junda He, & Ateekh Ur Rehman. (2025). On the electro-vibrations of piezoelectric structure rested on concrete auxetic foundation via Carrera unified formulation validated by machine learning algorithm. Mechanics of Advanced Materials and Structures. 33(1). 2 indexed citations

Tang, Bo, Mengxing Guo, Yujia Zhai, et al.. (2024). Human esophageal cancer stem-like cells escape the cytotoxicity of natural killer cells via down-regulation of ULBP-1. Journal of Translational Medicine. 22(1). 737–737. 3 indexed citations

Wang, Mengxia, et al.. (2024). Enhancing solar irradiance forecasting for hydrogen production: The MEMD-ALO-BiLSTM hybrid machine learning model. Computers & Electrical Engineering. 120. 109747–109747. 4 indexed citations

Zhu, Chaoyang, Mengxia Wang, Jinxin Deng, et al.. (2024). Simulation and comprehensive study of a new trigeneration process combined with a gas turbine cycle, involving transcritical and supercritical CO2 power cycles and Goswami cycle. Journal of Thermal Analysis and Calorimetry. 149(12). 6361–6384. 84 indexed citations breakdown →

Wang, Mengxia, et al.. (2024). Hybrid machine learning and optimization method for solar irradiance forecasting. Engineering Optimization. 57(8). 2208–2243. 3 indexed citations

Wang, Mengxia, et al.. (2024). Optimization, validation and analyses of a hybrid PV-battery-diesel power system using enhanced electromagnetic field optimization algorithm and ε-constraint. Energy Reports. 11. 5335–5349. 89 indexed citations breakdown →

Wang, Mengxia, et al.. (2024). Innovative approaches to solar energy forecasting: unveiling the power of hybrid models and machine learning algorithms for photovoltaic power optimization. The Journal of Supercomputing. 81(1). 2 indexed citations

10.

Zhu, Chaoyang, et al.. (2024). An innovative process design and multi-criteria study/optimization of a biomass digestion-supercritical carbon dioxide scenario toward boosting a geothermal-driven cogeneration system for power and heat. Energy. 292. 130408–130408. 110 indexed citations breakdown →

11.

Zhu, Chaoyang, et al.. (2023). Optimizing solar-driven multi-generation systems: A cascade heat recovery approach for power, cooling, and freshwater production. Applied Thermal Engineering. 240. 122214–122214. 127 indexed citations

12.

Guo, Mengxing, Jingyao Lian, Yaqing Liu, et al.. (2022). Loss of miR-637 promotes cancer cell stemness via WASH/IL-8 pathway and serves as a novel prognostic marker in esophageal squamous cell carcinoma. Biomarker Research. 10(1). 77–77. 8 indexed citations

13.

Zheng, Yujia, Yu Li, Bo Tang, et al.. (2020). IL-6-induced CD39 expression on tumor-infiltrating NK cells predicts poor prognosis in esophageal squamous cell carcinoma. Cancer Immunology Immunotherapy. 69(11). 2371–2380. 41 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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