Feifei He

836 total citations · 1 hit paper
15 papers, 636 citations indexed

About

Feifei He is a scholar working on Electrical and Electronic Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Feifei He has authored 15 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Ocean Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Feifei He's work include Energy Load and Power Forecasting (3 papers), Electric Power System Optimization (3 papers) and Hydrological Forecasting Using AI (2 papers). Feifei He is often cited by papers focused on Energy Load and Power Forecasting (3 papers), Electric Power System Optimization (3 papers) and Hydrological Forecasting Using AI (2 papers). Feifei He collaborates with scholars based in China. Feifei He's co-authors include Guangbiao Liu, Jianzhong Zhou, Yuqi Yang, Zhong-kai Feng, Xuedong Yan, Lu Ma, Mo Li, Zhongzheng He, Benjun Jia and Jianzhong Zhou and has published in prestigious journals such as PLoS ONE, Applied Energy and Energy.

In The Last Decade

Feifei He

13 papers receiving 623 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 hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

2019 264 citations Feifei He, Jianzhong Zhou et al. Applied Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feifei He China	9	372	134	109	104	94	15	636
Stephen Haben United Kingdom	16	790 2.1×	161 1.2×	161 1.5×	101 1.0×	158 1.7×	27	1.0k
Manar Amayri Canada	15	382 1.0×	297 2.2×	70 0.6×	58 0.6×	222 2.4×	91	823
Youru Li China	9	127 0.3×	88 0.7×	46 0.4×	98 0.9×	183 1.9×	25	545
Ali Fiaz United Arab Emirates	7	608 1.6×	178 1.3×	65 0.6×	224 2.2×	243 2.6×	7	972
Ahmet Şakir Dokuz Türkiye	12	350 0.9×	77 0.6×	85 0.8×	41 0.4×	250 2.7×	31	729
Deqiang Kong China	5	107 0.3×	75 0.6×	39 0.4×	77 0.7×	106 1.1×	7	452
Dahua Gan China	7	557 1.5×	122 0.9×	97 0.9×	116 1.1×	152 1.6×	8	660
Stefano Pizzuti Italy	14	205 0.6×	356 2.7×	142 1.3×	22 0.2×	96 1.0×	41	693
Cláudio Monteiro Portugal	19	894 2.4×	130 1.0×	183 1.7×	94 0.9×	316 3.4×	48	1.2k
Maxim Shcherbakov Russia	10	103 0.3×	62 0.5×	56 0.5×	77 0.7×	149 1.6×	47	540

Countries citing papers authored by Feifei He

Since Specialization

Citations

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

Fields of papers citing papers by Feifei He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei He

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei He. A scholar is included among the top collaborators of Feifei He 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 Feifei He. Feifei He 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:

15 of 15 papers shown

Wu, Wenfeng, Feifei He, Jiajia Ma, et al.. (2025). Mild and Effective Decatungstate-Catalyzed Degradation of Methyl Orange Under Visible Light. Catalysts. 15(5). 494–494.

Zhao, Jintong, Meng Zhang, Ying Wang, Feifei He, & Qiang Zhang. (2024). Identification of cuproptosis-related genes in septic shock based on bioinformatic analysis. PLoS ONE. 19(12). e0315219–e0315219. 1 indexed citations

He, Feifei, et al.. (2024). Daily Runoff Prediction with a Seasonal Decomposition-Based Deep GRU Method. Water. 16(4). 618–618. 9 indexed citations

Li, Chunpeng, et al.. (2024). An online ensemble classification algorithm for multi-class imbalanced data stream. Knowledge and Information Systems. 66(11). 6845–6880.

He, Feifei, et al.. (2023). Medium Term Streamflow Prediction Based on Bayesian Model Averaging Using Multiple Machine Learning Models. Water. 15(8). 1548–1548. 3 indexed citations

Zhou, Jianzhong, et al.. (2020). A Hydrologic Uncertainty Processor Using Linear Derivation in the Normal Quantile Transform Space. Water Resources Management. 34(11). 3649–3665. 2 indexed citations

He, Zhongzheng, Jianzhong Zhou, Hui Qin, et al.. (2020). A fast water level optimal control method based on two stage analysis for long term power generation scheduling of hydropower station. Energy. 210. 118531–118531. 16 indexed citations

He, Feifei, et al.. (2020). Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest. Applied Energy. 262. 114396–114396. 91 indexed citations

Liu, Yi, et al.. (2020). A construction method of water conservancy model library based on Microservice. IOP Conference Series Materials Science and Engineering. 794(1). 12001–12001. 2 indexed citations

10.

Zhou, Jianzhong, Guangbiao Liu, Mo Li, et al.. (2019). Multi-plan formulation of hydropower generation considering uncertainty of wind power. Applied Energy. 260. 114239–114239. 54 indexed citations

11.

Liu, Guangbiao, Jianzhong Zhou, Benjun Jia, et al.. (2019). Advance short-term wind energy quality assessment based on instantaneous standard deviation and variogram of wind speed by a hybrid method. Applied Energy. 238. 643–667. 33 indexed citations

12.

He, Feifei, Jianzhong Zhou, Zhong-kai Feng, Guangbiao Liu, & Yuqi Yang. (2019). A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm. Applied Energy. 237. 103–116. 264 indexed citations breakdown →

13.

Liu, Yi, Jianzhong Zhou, Zhongzheng He, et al.. (2019). Causal Inference of Optimal Control Water Level and Inflow in Reservoir Optimal Operation Using Fuzzy Cognitive Map. Water. 11(10). 2147–2147. 9 indexed citations

14.

He, Feifei, et al.. (2016). A Traffic Congestion Assessment Method for Urban Road Networks Based on Speed Performance Index. Procedia Engineering. 137. 425–433. 130 indexed citations

15.

Zhao, Xiang‐An, Shiji Wu, Feifei He, et al.. (2007). The immunosuppressive and protective ability of glucose-regulated protein 78 for improvement of alloimmunity in β cell transplantation. Clinical & Experimental Immunology. 150(3). 546–552. 22 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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