Mingxiang Liu

631 total citations · 1 hit paper
46 papers, 439 citations indexed

About

Mingxiang Liu is a scholar working on Electrical and Electronic Engineering, Oncology and Control and Systems Engineering. According to data from OpenAlex, Mingxiang Liu has authored 46 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 12 papers in Oncology and 7 papers in Control and Systems Engineering. Recurrent topics in Mingxiang Liu's work include Inflammatory Biomarkers in Disease Prognosis (8 papers), Smart Grid and Power Systems (7 papers) and Power Systems and Technologies (7 papers). Mingxiang Liu is often cited by papers focused on Inflammatory Biomarkers in Disease Prognosis (8 papers), Smart Grid and Power Systems (7 papers) and Power Systems and Technologies (7 papers). Mingxiang Liu collaborates with scholars based in China, Australia and United States. Mingxiang Liu's co-authors include Lishuang Wei, Hailun Xie, Jialiang Gan, Shuangyi Tang, Xiufeng Xiao, Feng Wang, Qian Feng, Pei Liu, Yunping Hu and Yongsheng Yu and has published in prestigious journals such as Advanced Materials, Scientific Reports and Journal of Membrane Science.

In The Last Decade

Mingxiang Liu

40 papers receiving 430 citations

Hit Papers

Bioinspired Superhydrophobic All‐In‐One Coating for Adapt... 2024 2026 2025 2024 25 50 75
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. Bioinspired Superhydrophobic All‐In‐One Coating for Adaptive Thermoregulation
    2024 84 citations Jun Liang, Shiliang Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingxiang Liu China 10 150 79 75 59 57 46 439
Seong Hyeon Kim South Korea 11 107 0.7× 30 0.4× 41 0.5× 78 1.3× 9 0.2× 28 457
Yan Yao China 13 164 1.1× 47 0.6× 42 0.6× 82 1.4× 133 2.3× 56 643
Yanyan Lin China 8 102 0.7× 15 0.2× 61 0.8× 21 0.4× 200 3.5× 32 422
Chien-Hsun Wang Taiwan 7 66 0.4× 20 0.3× 31 0.4× 108 1.8× 31 0.5× 9 423
Jin He China 14 41 0.3× 58 0.7× 20 0.3× 55 0.9× 39 0.7× 65 506
Yuanzhou Li China 11 47 0.3× 19 0.2× 30 0.4× 103 1.7× 12 0.2× 34 460
Lei Pu China 15 243 1.6× 9 0.1× 113 1.5× 105 1.8× 23 0.4× 42 722
Mohammad Zuber India 16 88 0.6× 61 0.8× 10 0.1× 72 1.2× 27 0.5× 96 817
Gun Kim South Korea 18 192 1.3× 82 1.0× 9 0.1× 107 1.8× 246 4.3× 75 1.0k

Countries citing papers authored by Mingxiang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingxiang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxiang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxiang Liu. A scholar is included among the top collaborators of Mingxiang Liu 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 Mingxiang Liu. Mingxiang Liu 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.
Liu, Mingxiang, Qi Zhou, Bin Lan, Jialiang Gan, & Sen Zhang. (2025). Factors influencing pathological complete response following neoadjuvant chemoimmunotherapy in locally advanced microsatellite stable colorectal cancer: a retrospective analysis. Frontiers in Medicine. 12. 1587684–1587684. 1 indexed citations
2.
Hu, Xinpeng, Mingxiang Liu, Xuemei Fu, et al.. (2025). Machine learning for spectral precision: a new horizon in radiative cooling material design. Science Bulletin. 70(24). 4122–4124.
3.
4.
Yang, Maiping, Mingxiang Liu, Jiawei Wu, et al.. (2024). Scalable Hierarchical‐Colored Passive Cooling Metapaint for Outdoor Facility. EcoMat. 7(1). 6 indexed citations
5.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2024). Prognostic value of visceral protein ratios in patients with colon cancer. Heliyon. 10(20). e39326–e39326.
6.
Liu, Mingxiang, Qianqian Cai, Dandan Li, Wei Meng, & Minyue Fu. (2023). Output feedback Q-learning for discrete-time finite-horizon zero-sum games with application to the H∞ control. Neurocomputing. 529. 48–55. 4 indexed citations
7.
Liu, Mingxiang, Qianqian Cai, Wei Meng, Dandan Li, & Minyue Fu. (2023). Finite‐horizon Q‐learning for discrete‐time zero‐sum games with application to H∞$$ {H}_{\infty } $$ control. Asian Journal of Control. 25(4). 3160–3168.
8.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I–III colorectal cancer. Scientific Reports. 13(1). 18080–18080. 4 indexed citations
9.
Liu, Mingxiang, Lei Zhang, & Nannan Geng. (2023). Effect of Interlayer Construction on TFC Nanofiltration Membrane Performance: A Review from Materials Perspective. Membranes. 13(5). 497–497. 15 indexed citations
10.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). Serum creatinine/cystatin C ratio as a prognostic indicator for patients with colorectal cancer. Frontiers in Oncology. 13. 1155520–1155520. 6 indexed citations
11.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). Prognostic significance of sarcopenia diagnosed based on the anthropometric equation for progression-free survival and overall survival in patients with colorectal cancer. Frontiers in Nutrition. 10. 1076589–1076589. 6 indexed citations
12.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2023). The value of carcinoembryonic antigen stage in staging, prognosis, and management of colorectal cancer: results from two cohort studies. Frontiers in Oncology. 13. 1268783–1268783. 3 indexed citations
13.
Lu, Hongyu, et al.. (2023). Fault Diagnosis of Rolling Bearings in VMD and GWO-ELM. Journal of Physics Conference Series. 2496(1). 12013–12013. 2 indexed citations
14.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2022). Neutrophil-albumin ratio as a biomarker for postoperative complications and long-term prognosis in patients with colorectal cancer undergoing surgical treatment. Frontiers in Nutrition. 9. 976216–976216. 24 indexed citations
15.
Xie, Hailun, Lishuang Wei, Mingxiang Liu, et al.. (2022). Combination of Geriatric Nutritional Risk Index and Carcinoembryonic Antigen to Predict the Survival of Patients With Colorectal Cancer. Frontiers in Nutrition. 9. 902080–902080. 3 indexed citations
16.
Xie, Hailun, et al.. (2022). Prognostic Value of Prognostic Nutritional Index in Patients With Colorectal Cancer Undergoing Surgical Treatment. Frontiers in Nutrition. 9. 794489–794489. 30 indexed citations
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Cai, Yueming, et al.. (2019). State Assessment and Fault Prediction Method of Distribution Terminal Based on SDAE and Hierarchical Bayesian. 2019 IEEE Sustainable Power and Energy Conference (iSPEC). 2783–2787. 2 indexed citations
20.

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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