Xin Miao

1.1k total citations · 1 hit paper
21 papers, 739 citations indexed

About

Xin Miao is a scholar working on Biomedical Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Xin Miao has authored 21 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Xin Miao's work include Molecular Sensors and Ion Detection (4 papers), Remote-Sensing Image Classification (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Xin Miao is often cited by papers focused on Molecular Sensors and Ion Detection (4 papers), Remote-Sensing Image Classification (4 papers) and Advanced Chemical Sensor Technologies (3 papers). Xin Miao collaborates with scholars based in China, United States and Italy. Xin Miao's co-authors include Sen Qiu, Long Liu, Yi An, Ruichen Liu, Hongyu Zhao, Nan Jiang, Zhelong Wang, Hongkai Zhao, Giancarlo Fortino and Feng Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Xin Miao

19 papers receiving 711 citations

Hit Papers

Multi-sensor information ... 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Miao China 9 220 210 136 84 68 21 739
Kamarul Hawari Ghazali Malaysia 16 268 1.2× 104 0.5× 106 0.8× 68 0.8× 144 2.1× 101 892
Việt Dũng Nguyễn Vietnam 11 329 1.5× 81 0.4× 169 1.2× 19 0.2× 48 0.7× 53 792
Patrik Kamencay Slovakia 16 429 1.9× 75 0.4× 160 1.2× 60 0.7× 72 1.1× 92 780
Xiaoxiao Niu China 15 314 1.4× 164 0.8× 203 1.5× 128 1.5× 112 1.6× 50 1.1k
Kashif Javed Pakistan 21 455 2.1× 139 0.7× 414 3.0× 74 0.9× 42 0.6× 38 1.9k
Taeho Hur South Korea 10 190 0.9× 110 0.5× 106 0.8× 23 0.3× 129 1.9× 16 675
Anamika Dhillon India 2 273 1.2× 96 0.5× 223 1.6× 40 0.5× 58 0.9× 2 790
Salim Malek Italy 13 136 0.6× 106 0.5× 124 0.9× 100 1.2× 49 0.7× 24 700
Rafiqul Zaman Khan India 12 217 1.0× 87 0.4× 119 0.9× 33 0.4× 70 1.0× 31 906
Ting Zhao China 12 535 2.4× 48 0.2× 91 0.7× 106 1.3× 167 2.5× 50 1.0k

Countries citing papers authored by Xin Miao

Since Specialization
Citations

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

Fields of papers citing papers by Xin Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Miao. A scholar is included among the top collaborators of Xin Miao 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 Xin Miao. Xin Miao 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.
Miao, Xin, et al.. (2025). An electrostatic potential modulation strategy for fluorescent probe coupled with deep learning enabling ultrafast and visual detection of meat freshness. Sensors and Actuators B Chemical. 441. 137974–137974. 1 indexed citations
2.
Miao, Xin, Wenjing Liu, Yimeng Zhang, Feng Li, & Ming Zhang. (2025). A portable fluorescence probe for the ultrafast and consecutive detection of sarin substitute and volatile amine based on colorimetric/fluorometric dual-channel. Surface and Coatings Technology. 503. 131934–131934.
3.
Miao, Xin, Yilin Jiang, Wenjing Liu, et al.. (2025). Ultrafast Ratiometric Fluorescent Probe and Deep Learning-Assisted On-Site Detection Platform for BAs and Meat Freshness Based on Molecular Engineering. ACS Sensors. 10(5). 3669–3680. 3 indexed citations
4.
Liu, Wenjing, Chen Lu, Xin Miao, et al.. (2024). Precise intramolecular-charge-transfer property modulation of D-A-type fluorescent probes for bifunctional detection of phosgene and nerve agent. Chemical Engineering Journal. 498. 155457–155457. 8 indexed citations
6.
Miao, Xin, et al.. (2024). An Electropolymerization (EP)-based Fluorescent Film Probe to Fe3+ Using Conjugated Polymer as Precursor. Chemical Research in Chinese Universities. 40(6). 1227–1232. 1 indexed citations
7.
Miao, Xin, et al.. (2024). Ratiometric fluorescence probes for visible detection and accurate identification of MPEA vapor. Nature Communications. 15(1). 10641–10641. 15 indexed citations
8.
Miao, Xin, et al.. (2023). Dataglove for Sign Language Recognition of People with Hearing and Speech Impairment via Wearable Inertial Sensors. Sensors. 23(15). 6693–6693. 8 indexed citations
9.
Wang, Huihui, Xin Miao, Qin Gao, et al.. (2023). MEMS Devices-Based Hand Gesture Recognition via Wearable Computing. Micromachines. 14(5). 947–947. 23 indexed citations
10.
Miao, Xin, et al.. (2023). Fast and Visual Detection of Biogenic Amines and Food Freshness Based on ICT‐Induced Ratiometric Fluorescent Probes. Advanced Functional Materials. 33(27). 79 indexed citations
11.
Tang, Haoyang, et al.. (2022). UAV Visual Localization Technology Based on Heterogenous Remote Sensing Image Matching. 773–779. 1 indexed citations
12.
Qiu, Sen, Hongkai Zhao, Nan Jiang, et al.. (2021). Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges. Information Fusion. 80. 241–265. 452 indexed citations breakdown →
13.
Miao, Xin, et al.. (2021). Interpretable-Machine-Learning Evidence for Importance and Optimum of Learning Time. International Journal of Information and Education Technology. 11(10). 444–449. 2 indexed citations
14.
Miao, Xin, et al.. (2021). Evidence and Promises of AI Predictions to Understand Student Approaches to Math Learning in Abu Dhabi K12 Public Schools. SHILAP Revista de lepidopterología. 1(2). 109–134. 3 indexed citations
15.
Ren, Kan, et al.. (2021). An infrared and visible image fusion method based on improved DenseNet and mRMR-ZCA. Infrared Physics & Technology. 115. 103707–103707. 25 indexed citations
16.
Yue, Lei, et al.. (2018). Attentional Alignment Networks.. British Machine Vision Conference. 208. 16 indexed citations
17.
Zhang, Meifeng, et al.. (2018). Research on fault diagnosis of diesel engine based on PCA-RBF neural network. Modern Physics Letters B. 32(34n36). 1840099–1840099. 3 indexed citations
18.
Miao, Xin, Peng Gong, Sarah M. Swope, et al.. (2007). Detection of yellow starthistle through band selection and feature extraction from hyperspectral imagery. Photogrammetric Engineering & Remote Sensing. 73(9). 1005–1015. 19 indexed citations
19.
Miao, Xin, Peng Gong, Ruiliang Pu, Raymond I. Carruthers, & Jill S. Heaton. (2007). Applying class-based feature extraction approaches for supervised classification of hyperspectral imagery. Canadian Journal of Remote Sensing. 33(3). 162–175. 5 indexed citations
20.
Miao, Xin, Peng Gong, Sarah M. Swope, et al.. (2006). Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture models. Remote Sensing of Environment. 101(3). 329–341. 74 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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