Renfeng Liu

886 total citations · 1 hit paper
27 papers, 693 citations indexed

About

Renfeng Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Renfeng Liu has authored 27 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Renfeng Liu's work include Remote-Sensing Image Classification (5 papers), Energy Load and Power Forecasting (4 papers) and Image and Signal Denoising Methods (3 papers). Renfeng Liu is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Energy Load and Power Forecasting (4 papers) and Image and Signal Denoising Methods (3 papers). Renfeng Liu collaborates with scholars based in China, United States and Singapore. Renfeng Liu's co-authors include Lijian Leng, Siyu Xu, Songqi Leng, Huajun Huang, Qin Xiong, Ting Yu, Shilin Zhao, Hailong Li, Siyu Xu and Haoyi Peng and has published in prestigious journals such as Bioresource Technology, Optics Express and Chemical Engineering Science.

In The Last Decade

Renfeng Liu

20 papers receiving 679 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.

Nitrogen containing functional groups of biochar: An overview

2019 395 citations Lijian Leng, Siyu Xu et al. Bioresource Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Renfeng Liu China	9	198	195	107	105	94	27	693
Xiaoliang Fan China	10	109 0.6×	345 1.8×	45 0.4×	115 1.1×	58 0.6×	11	691
Haifeng Wen China	18	279 1.4×	428 2.2×	76 0.7×	102 1.0×	137 1.5×	46	1.0k
Zhiyu Wang China	16	134 0.7×	209 1.1×	188 1.8×	151 1.4×	26 0.3×	65	1.0k
Wentao Zhao China	15	90 0.5×	179 0.9×	208 1.9×	74 0.7×	257 2.7×	43	889
Kai Hu China	10	109 0.6×	111 0.6×	67 0.6×	81 0.8×	74 0.8×	33	432
Xinying Liu China	14	112 0.6×	76 0.4×	25 0.2×	61 0.6×	52 0.6×	44	669
Ran Yi China	16	209 1.1×	148 0.8×	68 0.6×	169 1.6×	59 0.6×	52	814
Biao Li China	14	123 0.6×	175 0.9×	310 2.9×	130 1.2×	35 0.4×	48	578
Tajudeen A. Oyehan Saudi Arabia	17	201 1.0×	225 1.2×	150 1.4×	77 0.7×	110 1.2×	29	1.0k
Kunlun Zhang China	12	201 1.0×	77 0.4×	112 1.0×	90 0.9×	24 0.3×	48	723

Countries citing papers authored by Renfeng Liu

Since Specialization

Citations

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

Fields of papers citing papers by Renfeng Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Renfeng Liu. A scholar is included among the top collaborators of Renfeng Liu 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 Renfeng Liu. Renfeng Liu 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.

Liu, Renfeng, Zhiyong Lin, Jingyi Yang, et al.. (2025). Random scission kinetic model for polymer degradation: A case study of polyamide-6 hydrolysis in subcritical water. Chemical Engineering Science. 316. 121922–121922.

2.

Li, Yong, Renfeng Liu, Jia-Bin You, Wanli Yang, & Hongyu Guan. (2025). Optimal performances of a quantum battery via non-Markovian bath modulation. Physical review. E. 112(6). 64106–64106.

3.

Liu, Renfeng, et al.. (2025). The TAM-xLSTM Model for Hourly River Flow Forecasting: A Case Study of Qiandongnan, Guizhou Province, China. Water. 17(17). 2644–2644.

4.

Ding, Haifeng, et al.. (2025). TBSSF-Net: three-branch spatial-spectral fusion network for hyperspectral image classification. Optics Express. 33(2). 3466–3466. 3 indexed citations

5.

Liu, Renfeng, et al.. (2024). Design of the MDFF-EPA photovoltaic ultra-short-term power prediction algorithm based on FY-4A. Energy Reports. 12. 1209–1220.

6.

Liu, Renfeng, et al.. (2024). Dual stage MRI image restoration based on blind spot denoising and hybrid attention. BMC Medical Imaging. 24(1). 259–259.

7.

Wu, Weixiong, et al.. (2024). Enhanced Ultra-Short-Term PV Forecasting Using Sky Imagers: Integrating MCR and Cloud Cover Estimation. Energies. 18(1). 28–28. 1 indexed citations

8.

Zang, Ning, et al.. (2024). Rasterized Data Image Processing (RDIP) Techniques for Photovoltaic (PV) Data Cleaning and Application in Power Prediction. Energies. 17(12). 3000–3000.

9.

Li, Wenxue, Cheng Chi, Peihua Xu, et al.. (2023). Short-Term Load Forecasting with TDCI: Temporal Decomposition and Channel Independence. 47. 150–155. 1 indexed citations

10.

Liu, Renfeng, et al.. (2023). GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions. Energies. 16(21). 7250–7250. 12 indexed citations

11.

Zhang, Maoyuan, et al.. (2023). A Deep Learning Framework for Day Ahead Wind Power Short-Term Prediction. Applied Sciences. 13(6). 4042–4042. 14 indexed citations

12.

Liu, Renfeng, Huabing Zhou, Dejun Li, Liping Zeng, & Peihua Xu. (2023). Evaluation of Artificial Precipitation Enhancement Using UNET-GRU Algorithm for Rainfall Estimation. Water. 15(8). 1585–1585. 3 indexed citations

13.

Liu, Renfeng, et al.. (2021). The Application of K Value Adaptive VMD Method in Pipeline Leakage Location. Mathematical Problems in Engineering. 2021. 1–12. 3 indexed citations

14.

Wang, Jinwei, Renfeng Liu, Hao Wang, Bin Wu, & Yun-Qing Shi. (2020). Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform. KSII Transactions on Internet and Information Systems. 14(7). 7 indexed citations

15.

Cao, Yuan, et al.. (2020). FLGC-Fusion GAN: An Enhanced Fusion GAN Model by Importing Fully Learnable Group Convolution. Mathematical Problems in Engineering. 2020. 1–13. 14 indexed citations

16.

Leng, Lijian, Siyu Xu, Renfeng Liu, et al.. (2019). Nitrogen containing functional groups of biochar: An overview. Bioresource Technology. 298. 122286–122286. 395 indexed citations breakdown →

17.

Xu, Jungang, et al.. (2016). A Novel Performance Evaluation and Optimization Model for Big Data System. 121–130. 3 indexed citations

18.

Liu, Renfeng. (2016). Food Recognition and Detection with Minimum Supervision. Scholarship@Western (Western University). 3 indexed citations

19.

Zhou, Huabing, et al.. (2016). Nonrigid Feature Matching for Remote Sensing Images via Probabilistic Inference With Global and Local Regularizations. IEEE Geoscience and Remote Sensing Letters. 1–5. 28 indexed citations

20.

Yang, Changcai, et al.. (2014). Good match exploration for infrared face recognition. Infrared Physics & Technology. 67. 111–115. 10 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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