Meiling Xu

1.9k total citations
45 papers, 1.5k citations indexed

About

Meiling Xu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Meiling Xu has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 9 papers in Signal Processing. Recurrent topics in Meiling Xu's work include Neural Networks and Applications (19 papers), Neural Networks and Reservoir Computing (10 papers) and Machine Learning and ELM (7 papers). Meiling Xu is often cited by papers focused on Neural Networks and Applications (19 papers), Neural Networks and Reservoir Computing (10 papers) and Machine Learning and ELM (7 papers). Meiling Xu collaborates with scholars based in China, Macao and Hong Kong. Meiling Xu's co-authors include Min Han, Tie Qiu, C. L. Philip Chen, Hongfei Lin, Ying Yang, Ce Hao, Suzhen Ren, Weijie Ren, Ke Yan and Yuchang Mo and has published in prestigious journals such as Angewandte Chemie International Edition, AIChE Journal and RSC Advances.

In The Last Decade

Meiling Xu

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Xu China 21 701 509 274 153 149 45 1.5k
Zhiqiang Zeng China 24 427 0.6× 312 0.6× 484 1.8× 213 1.4× 115 0.8× 113 1.7k
Tian Zhang China 17 419 0.6× 426 0.8× 285 1.0× 162 1.1× 69 0.5× 110 1.5k
Kejun Wang China 18 1.1k 1.5× 920 1.8× 771 2.8× 113 0.7× 107 0.7× 102 2.3k
Lin Li China 27 531 0.8× 572 1.1× 288 1.1× 563 3.7× 39 0.3× 202 2.3k
Giacomo Capizzi Italy 20 442 0.6× 522 1.0× 141 0.5× 143 0.9× 28 0.2× 85 1.4k
Bryan Matthews United States 20 520 0.7× 451 0.9× 55 0.2× 221 1.4× 192 1.3× 62 1.5k
Sungshin Kim South Korea 21 276 0.4× 726 1.4× 330 1.2× 575 3.8× 284 1.9× 206 1.9k
Yu‐Cheng Chang Taiwan 19 237 0.3× 339 0.7× 241 0.9× 199 1.3× 60 0.4× 86 1.3k
Yiqi Wang China 19 324 0.5× 634 1.2× 109 0.4× 142 0.9× 96 0.6× 69 1.6k
Qianlong Wang China 22 536 0.8× 630 1.2× 103 0.4× 158 1.0× 86 0.6× 98 1.8k

Countries citing papers authored by Meiling Xu

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Xu. A scholar is included among the top collaborators of Meiling Xu 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 Meiling Xu. Meiling Xu 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.
Xu, Meiling, et al.. (2025). Enhanced Protein Secondary Structure Prediction Through Multi-View Multi-Feature Evolutionary Deep Fusion Method. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3352–3363. 2 indexed citations
2.
Xu, Meiling, et al.. (2025). Exploring Multi-Modal Representations Based on an Improved Multi-Objective Optimization Algorithm for Molecular Property Prediction. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 711–714. 1 indexed citations
3.
Ma, Nan, Yang Wang, Xin Li, Meiling Xu, & D. Tan. (2025). Reactive oxygen species in cancer: Mechanistic insights and therapeutic innovations. Cell Stress and Chaperones. 30(5). 100108–100108. 3 indexed citations
4.
Chai, Guodong, Ning Wang, Meiling Xu, et al.. (2024). Poly (vinyl alcohol)/sodium alginate/carboxymethyl chitosan multifunctional hydrogel loading HKUST-1 nanoenzymes for diabetic wound healing. International Journal of Biological Macromolecules. 268(Pt 2). 131670–131670. 17 indexed citations
5.
6.
Tang, Lixin, et al.. (2024). Adaptative Scaler-Moment Crystal Graph Attention Neural Network for Material Property Prediction. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(4). 2728–2742.
7.
Xu, Meiling, Xu Jing, Bin Sun, et al.. (2023). Urea‐Functionalized Fe4L6 Cages for Supramolecular Gold Catalyst Encapsulation to Control Substrate Activation Modes. Angewandte Chemie International Edition. 62(45). e202310420–e202310420. 4 indexed citations
8.
Zhang, Yunfei & Meiling Xu. (2020). A Novel Speech Recognition Model with Bayesian Optimization. 432–437. 1 indexed citations
9.
Han, Min, et al.. (2018). A Review on Intelligence Dehazing and Color Restoration for Underwater Images. IEEE Transactions on Systems Man and Cybernetics Systems. 50(5). 1820–1832. 159 indexed citations
10.
Han, Min, et al.. (2018). UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks. IEEE Transactions on Neural Networks and Learning Systems. 30(1). 255–268. 12 indexed citations
11.
Han, Min, et al.. (2018). Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm. IEEE Transactions on Cybernetics. 49(4). 1160–1172. 72 indexed citations
12.
Xu, Meiling, Min Han, C. L. Philip Chen, & Tie Qiu. (2018). Recurrent Broad Learning Systems for Time Series Prediction. IEEE Transactions on Cybernetics. 50(4). 1405–1417. 204 indexed citations
13.
Han, Min, et al.. (2018). Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction. IEEE Transactions on Knowledge and Data Engineering. 31(9). 1809–1821. 111 indexed citations
14.
Han, Min, Ruiquan Zhang, Tie Qiu, Meiling Xu, & Weijie Ren. (2017). Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. IEEE Transactions on Systems Man and Cybernetics Systems. 49(10). 2144–2154. 55 indexed citations
15.
Qiu, Tie, et al.. (2017). A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities. IEEE Transactions on Industrial Informatics. 14(5). 2042–2051. 67 indexed citations
16.
Han, Min & Meiling Xu. (2017). Laplacian Echo State Network for Multivariate Time Series Prediction. IEEE Transactions on Neural Networks and Learning Systems. 29(1). 238–244. 89 indexed citations
17.
Han, Min, Ruiquan Zhang, & Meiling Xu. (2017). Multivariate Chaotic Time Series Prediction Based on ELM–PLSR and Hybrid Variable Selection Algorithm. Neural Processing Letters. 46(2). 705–717. 21 indexed citations
18.
Xu, Meiling, Ruiquan Zhang, & Min Han. (2015). Multivariate chaotic time series prediction based on PLSR and MKELM. 36. 319–324. 1 indexed citations
19.
Ren, Suzhen, Meiling Xu, Ying Yang, Shaobo Ma, & Ce Hao. (2014). Effects of microstructural functional polyaniline layers on SPEEK/HPW proton exchange membranes. Journal of Applied Polymer Science. 131(21). 41 indexed citations
20.
Ren, Suzhen, Meng Wang, Meiling Xu, et al.. (2013). Fabrication of high-performance supercapacitors based on hollow SnO2 microspheres. Journal of Solid State Electrochemistry. 18(4). 909–916. 32 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zhiqiang Zeng Breakdown of academic impact, for papers by Tian Zhang Breakdown of academic impact, for papers by Kejun Wang Breakdown of academic impact, for papers by Lin Li Breakdown of academic impact, for papers by Giacomo Capizzi Breakdown of academic impact, for papers by Bryan Matthews Breakdown of academic impact, for papers by Sungshin Kim Breakdown of academic impact, for papers by Yu‐Cheng Chang Breakdown of academic impact, for papers by Yiqi Wang Breakdown of academic impact, for papers by Qianlong Wang
Rankless by CCL
2026