Xian-Bing Meng

1.7k total citations · 1 hit paper
22 papers, 814 citations indexed

About

Xian-Bing Meng is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xian-Bing Meng has authored 22 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xian-Bing Meng's work include Evolutionary Algorithms and Applications (5 papers), Machine Learning and ELM (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Xian-Bing Meng is often cited by papers focused on Evolutionary Algorithms and Applications (5 papers), Machine Learning and ELM (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Xian-Bing Meng collaborates with scholars based in China, Hong Kong and Finland. Xian-Bing Meng's co-authors include Hengzhen Zhang, Yu Liu, X.Z. Gao, Lihua Lü, Xiao Gao, C. L. Philip Chen, Han‐Xiong Li, Tong Zhang, Zongyan Zhang and Daxing Wang and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Xian-Bing Meng

21 papers receiving 782 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.

A new bio-inspired optimisation algorithm: Bird Swarm Algorithm

2015 361 citations Xian-Bing Meng, X.Z. Gao et al. Journal of Experimental & Theoretical Artificial Intelligence profile →

Peers

Xian-Bing Meng

AI

EEE

CSE

CTM

CVPR

Juliano Pierezan Brazil

Changting Zhong China

Qingjiao Cao China

Yiying Zhang China

Lei Xie China

Zeinab Montazeri Iran

Ahmad Nickabadi Iran

Shijie Zhao China

Priyanka Anand India

Xing Cai China

Juliano Pierezan Brazil

Xian-Bing Meng

400 ×1.0

AI

220 ×1.1

EEE

151 ×0.9

CSE

171 ×1.2

CTM

96 ×0.8

CVPR

Citations per year, relative to Xian-Bing Meng Xian-Bing Meng (= 1×) peers Juliano Pierezan

Countries citing papers authored by Xian-Bing Meng

Since Specialization

Citations

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

Fields of papers citing papers by Xian-Bing Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xian-Bing Meng. 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 Xian-Bing Meng. The network helps show where Xian-Bing Meng may publish in the future.

Co-authorship network of co-authors of Xian-Bing Meng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Xu, Kangkang, et al.. (2024). A new online SOC estimation method using broad learning system and adaptive unscented Kalman filter algorithm. Energy. 309. 132920–132920. 9 indexed citations

2.

Xu, Kangkang, et al.. (2024). Data and knowledge fusion-driven Bayesian networks for interpretable fault diagnosis of HVAC systems. International Journal of Refrigeration. 161. 101–112. 11 indexed citations

3.

Huang, Yan, Haoxiang Luo, Yong Xu, & Xian-Bing Meng. (2024). A temporally-aware noise-informed invertible network for progressive video denoising. Image and Vision Computing. 154. 105369–105369.

4.

Wang, Bing-Chuan, et al.. (2024). ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. IEEE Transactions on Cybernetics. 54(8). 4475–4488. 7 indexed citations

5.

Xu, Kangkang, et al.. (2024). Multi-energy load forecasting via hierarchical multi-task learning and spatiotemporal attention. Applied Energy. 373. 123788–123788. 16 indexed citations

6.

Yang, Haidong, et al.. (2023). A novel deep-learning framework for short-term prediction of cooling load in public buildings. Journal of Cleaner Production. 434. 139796–139796. 17 indexed citations

7.

Guo, Jifeng, et al.. (2023). iBT-Net: an incremental broad transformer network for cancer drug response prediction. Briefings in Bioinformatics. 24(4). 9 indexed citations

8.

Wang, Bing-Chuan, et al.. (2023). A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization. Complex & Intelligent Systems. 9(4). 4615–4627. 9 indexed citations

9.

Xu, Kang, et al.. (2023). Temperature field prediction of lithium-ion batteries using improved local tangent space alignment. International Journal of Heat and Mass Transfer. 209. 124126–124126. 12 indexed citations

10.

Wang, Bing-Chuan, Yun Feng, Xian-Bing Meng, & Shuqiang Wang. (2022). A two-phase differential evolution for minimax optimization. Applied Soft Computing. 131. 109797–109797. 3 indexed citations

11.

Meng, Xian-Bing, C. L. Philip Chen, & Han‐Xiong Li. (2022). Confidence-Aware Multiscale Learning for Online Modeling of Distributed Parameter Systems With Application to Curing Process. IEEE Transactions on Industrial Electronics. 70(9). 9432–9440. 7 indexed citations

12.

Zhang, Tong, et al.. (2021). AS-NAS: Adaptive Scalable Neural Architecture Search With Reinforced Evolutionary Algorithm for Deep Learning. IEEE Transactions on Evolutionary Computation. 25(5). 830–841. 59 indexed citations

13.

Meng, Xian-Bing, et al.. (2019). An adaptive reinforcement learning-based bat algorithm for structural design problems. International Journal of Bio-Inspired Computation. 14(2). 114–114. 34 indexed citations

14.

Meng, Xian-Bing, et al.. (2018). Evolutionary Design of Spatio–Temporal Learning Model for Thermal Distribution in Lithium-Ion Batteries. IEEE Transactions on Industrial Informatics. 15(5). 2838–2848. 35 indexed citations

15.

Gao, Xiao, et al.. (2018). An adaptive Reinforcement Learning based Bat Algorithm for structural design problems. International Journal of Bio-Inspired Computation. 1(1). 1–1. 12 indexed citations

16.

Meng, Xian-Bing & Han‐Xiong Li. (2017). Dempster-shafer based probabilistic fuzzy logic system for wind speed prediction. 1–5. 3 indexed citations

17.

Meng, Xian-Bing, X.Z. Gao, Lihua Lü, Yu Liu, & Hengzhen Zhang. (2015). A new bio-inspired optimisation algorithm: Bird Swarm Algorithm. Journal of Experimental & Theoretical Artificial Intelligence. 28(4). 673–687. 361 indexed citations breakdown →

18.

Meng, Xian-Bing, Xiao‐Zhi Gao, & Yu Liu. (2015). A Novel Hybrid Bat Algorithm with Differential Evolution Strategy for Constrained Optimization. International Journal of Hybrid Information Technology. 8(1). 383–396. 14 indexed citations

19.

Meng, Xian-Bing, Xiao Gao, Yu Liu, & Hengzhen Zhang. (2015). A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization. Expert Systems with Applications. 42(17-18). 6350–6364. 171 indexed citations

20.

Meng, Xian-Bing, et al.. (2014). A new bio-inspired algorithm: Chicken swarm optimization. Lecture notes in computer science. 8794. 86–94. 1 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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