Mingfei Niu

625 total citations
9 papers, 522 citations indexed

About

Mingfei Niu is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Mingfei Niu has authored 9 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 4 papers in Environmental Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mingfei Niu's work include Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (4 papers) and Energy Load and Power Forecasting (3 papers). Mingfei Niu is often cited by papers focused on Air Quality and Health Impacts (4 papers), Air Quality Monitoring and Forecasting (4 papers) and Energy Load and Power Forecasting (3 papers). Mingfei Niu collaborates with scholars based in China and Hong Kong. Mingfei Niu's co-authors include Shaolong Sun, Yufang Wang, Yongwu Li, Yu Liu, Fengying Li, Lean Yu, Jianzhou Wang, Jing Wu, Jie Wu and Yuanlei Zhang and has published in prestigious journals such as Atmospheric Environment, Journal of Environmental Management and Applied Mathematics and Computation.

In The Last Decade

Mingfei Niu

9 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingfei Niu China	8	283	201	187	98	89	9	522
Hongyuan Luo China	10	274 1.0×	462 2.3×	158 0.8×	186 1.9×	169 1.9×	15	832
Qunli Wu China	13	309 1.1×	391 1.9×	198 1.1×	91 0.9×	80 0.9×	43	811
Satheesh Abimannan India	10	277 1.0×	84 0.4×	215 1.1×	46 0.5×	69 0.8×	31	558
Teemu Räsänen Finland	7	202 0.7×	199 1.0×	154 0.8×	25 0.3×	49 0.6×	12	518
Suling Zhu China	12	427 1.5×	398 2.0×	347 1.9×	241 2.5×	134 1.5×	23	896
Guangxi Yan China	13	149 0.5×	318 1.6×	97 0.5×	88 0.9×	171 1.9×	19	630
Azim Heydari Italy	16	156 0.6×	544 2.7×	60 0.3×	109 1.1×	170 1.9×	36	947
Zhengsen Ji China	15	183 0.6×	346 1.7×	59 0.3×	101 1.0×	147 1.7×	30	806
Hongbin Dai China	13	214 0.8×	85 0.4×	183 1.0×	39 0.4×	80 0.9×	19	554
Guangqiu Huang China	12	209 0.7×	48 0.2×	183 1.0×	29 0.3×	74 0.8×	49	507

Countries citing papers authored by Mingfei Niu

Since Specialization

Citations

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

Fields of papers citing papers by Mingfei Niu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingfei Niu

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

All Works

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9 of 9 papers shown

Dong, Yawei, Chengyuan Zhang, Mingfei Niu, Shouyang Wang, & Shaolong Sun. (2021). Air pollution forecasting with multivariate interval decomposition ensemble approach. Atmospheric Pollution Research. 12(12). 101230–101230. 18 indexed citations

Heng, Jiani, et al.. (2021). An innovative ensemble learning air pollution early-warning system for China based on incremental extreme learning machine. Atmospheric Pollution Research. 12(9). 101153–101153. 20 indexed citations

Niu, Mingfei, et al.. (2018). A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting. Applied Mathematical Modelling. 57. 163–178. 120 indexed citations

Niu, Mingfei, et al.. (2017). Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM 2.5 concentration forecasting. Journal of Environmental Management. 196. 110–118. 73 indexed citations

Niu, Mingfei, Yufang Wang, Shaolong Sun, & Yongwu Li. (2016). A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting. Atmospheric Environment. 134. 168–180. 212 indexed citations

Niu, Mingfei, Shaolong Sun, Jing Wu, Lean Yu, & Jianzhou Wang. (2015). An innovative integrated model using the singular spectrum analysis and nonlinear multi-layer perceptron network optimized by hybrid intelligent algorithm for short-term load forecasting. Applied Mathematical Modelling. 40(5-6). 4079–4093. 49 indexed citations

Niu, Mingfei, Shaolong Sun, Jie Wu, & Yuanlei Zhang. (2015). Short-Term Wind Speed Hybrid Forecasting Model Based on Bias Correcting Study and Its Application. Mathematical Problems in Engineering. 2015. 1–13. 20 indexed citations

Zhong, Chengkui, Chunyou Sun, & Mingfei Niu. (2005). ON THE EXISTENCE OF GLOBAL ATTRACTOR FOR A CLASS OF INFINITE DIMENSIONAL DISSIPATIVE NONLINEAR DYNAMICAL SYSTEMS. Chinese Annals of Mathematics Series B. 26(3). 393–400. 8 indexed citations

Li, Wan‐Tong, Mingfei Niu, & Jian-Ping Sun. (2003). Existence of positive solutions of BVPs for second-order nonlinear difference systems. Applied Mathematics and Computation. 152(3). 779–798. 2 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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