Peifeng Niu

1.7k total citations
58 papers, 1.4k citations indexed

About

Peifeng Niu is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peifeng Niu has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 30 papers in Control and Systems Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Peifeng Niu's work include Advanced Algorithms and Applications (24 papers), Machine Learning and ELM (22 papers) and Neural Networks and Applications (22 papers). Peifeng Niu is often cited by papers focused on Advanced Algorithms and Applications (24 papers), Machine Learning and ELM (22 papers) and Neural Networks and Applications (22 papers). Peifeng Niu collaborates with scholars based in China, Italy and Germany. Peifeng Niu's co-authors include Guoqiang Li, Weiping Zhang, Yunpeng Ma, Xia Li, Jianping Liu, Lifei Wang, Huaiqin Wu, Xinxin Zhang, Yu Wang and Pengfei Li and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Access and Neurocomputing.

In The Last Decade

Peifeng Niu

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peifeng Niu China	20	733	345	316	246	180	58	1.4k
Fang Tang China	12	640 0.9×	290 0.8×	183 0.6×	249 1.0×	170 0.9×	36	1.3k
Mojtaba Ahmadieh Khanesar Iran	23	782 1.1×	727 2.1×	346 1.1×	198 0.8×	153 0.8×	71	1.6k
Ali Reza Mehrabian Canada	16	542 0.7×	455 1.3×	387 1.2×	283 1.2×	217 1.2×	48	1.7k
Mohammed Alswaitti Malaysia	16	666 0.9×	215 0.6×	251 0.8×	125 0.5×	189 1.1×	21	1.5k
Aijia Ouyang China	19	424 0.6×	157 0.5×	175 0.6×	242 1.0×	130 0.7×	62	1.1k
Amrit Lal Sangal India	15	717 1.0×	141 0.4×	264 0.8×	564 2.3×	243 1.4×	64	1.6k
José Soria Mexico	19	1.2k 1.6×	540 1.6×	206 0.7×	128 0.5×	235 1.3×	56	1.9k
Lianghong Wu China	19	386 0.5×	390 1.1×	543 1.7×	110 0.4×	256 1.4×	67	1.4k
Shokooh Taghian Iran	12	887 1.2×	214 0.6×	298 0.9×	99 0.4×	358 2.0×	14	1.5k
Kai Wu China	21	694 0.9×	96 0.3×	277 0.9×	148 0.6×	116 0.6×	83	1.4k

Countries citing papers authored by Peifeng Niu

Since Specialization

Citations

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

Fields of papers citing papers by Peifeng Niu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peifeng Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Peifeng Niu. A scholar is included among the top collaborators of Peifeng 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 Peifeng Niu. Peifeng 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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20 of 20 papers shown

Luo, Yuxi, Guojie Chen, Xiaoyu Gao, et al.. (2025). A MOF-modified NaCrO₂ cathode for high-rate and wide-temperature applications in sodium-ion batteries. Journal of Materials Chemistry A. 13(27). 21564–21574.

Niu, Peifeng, et al.. (2020). Multi-objective prediction of coal-fired boiler with a deep hybrid neural networks. Atmospheric Pollution Research. 11(7). 1084–1090. 22 indexed citations

Niu, Peifeng, et al.. (2019). A Dynamic Rectified Linear Activation Units. IEEE Access. 7. 180409–180416. 14 indexed citations

Zhang, Xinxin, et al.. (2019). Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. Neurocomputing. 361. 1–9. 4 indexed citations

Li, Xia, Peifeng Niu, & Jianping Liu. (2018). Combustion optimization of a boiler based on the chaos and Lévy flight vortex search algorithm. Applied Mathematical Modelling. 58. 3–18. 92 indexed citations

Ma, Yunpeng, et al.. (2018). A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model. Applied Mathematics and Computation. 334. 214–226. 15 indexed citations

Ma, Yunpeng, Peifeng Niu, Xinxin Zhang, & Guoqiang Li. (2017). Research and application of quantum-inspired double parallel feed-forward neural network. Knowledge-Based Systems. 136. 140–149. 13 indexed citations

Zhang, Xinxin, et al.. (2017). Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition. Neural Networks. 94. 67–75. 32 indexed citations

Niu, Peifeng, et al.. (2016). A Kind of Parameters Self-adjusting Extreme Learning Machine. Neural Processing Letters. 44(3). 813–830. 32 indexed citations

10.

Li, Xia, et al.. (2015). Improved Teaching-Learning-Based Optimization algorithms for function optimization. 35. 485–491. 3 indexed citations

11.

Niu, Peifeng. (2013). Improved gravitation search algorithm and its application to function optimization. Journal of Computer Applications. 1 indexed citations

12.

Li, Guoqiang, et al.. (2013). Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. Neural Networks. 51. 57–66. 28 indexed citations

13.

Li, Guoqiang, et al.. (2013). Fast learning network: a novel artificial neural network with a fast learning speed. Neural Computing and Applications. 24(7-8). 1683–1695. 53 indexed citations

14.

Li, Guoqiang, et al.. (2011). Development and investigation of efficient artificial bee colony algorithm for numerical function optimization. Applied Soft Computing. 12(1). 320–332. 237 indexed citations

15.

Niu, Peifeng, et al.. (2011). Design Research of an Adaptive-Fuzzy-Neural Controller. Journal of Advances in Information Technology. 2(2). 3 indexed citations

16.

Niu, Peifeng. (2008). Present situation and development of superheated steam temperature control in steam drum boiler of thermal power plant. Journal of Yanshan University. 1 indexed citations

17.

Niu, Peifeng. (2008). Application of double-deck fuzzy control to bed temperature control system of circulated fluidized-bed. Journal of Yanshan University. 3 indexed citations

18.

Niu, Peifeng. (2007). A Steam Pressure Adaptive Control System for Circulating Fluidized Bed Boilers. Journal of Power Engineering. 1 indexed citations

19.

Niu, Peifeng. (2006). Load Modeling of Thermal Power Unit with Wavelet Neural Networks. Journal of Power Engineering. 1 indexed citations

20.

Niu, Peifeng & Chai Tian-you. (1998). The Steam Pressure Self-Adaptive Control System of a Monoblock with Home-Made 75t/h CFBB. Control theory & applications.

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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