Fang Lin

761 total citations · 1 hit paper
31 papers, 485 citations indexed

About

Fang Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fang Lin has authored 31 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fang Lin's work include Gait Recognition and Analysis (5 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Fang Lin is often cited by papers focused on Gait Recognition and Analysis (5 papers), Neural dynamics and brain function (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Fang Lin collaborates with scholars based in China, United States and Italy. Fang Lin's co-authors include Songchen Han, Hai Jiang, Xuan Zhu, Ren Yang, Sen Qiu, Zhelong Wang, Hongyu Zhao, Zhao Zhang, Ke Huang and Xianfeng Yang and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Fang Lin

30 papers receiving 468 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.

R2RNet: Low-light image enhancement via Real-low to Real-normal Network

2022 198 citations Hai Jiang, Xuan Zhu et al. Journal of Visual Communication and Image Representation profile →

Peers

Fang Lin

CVPR

CSE

EEE

Xiaohan Yang China

Haoran Wei United States

Jenn-Jier James Lien Taiwan

Cătălin Daniel Căleanu Romania

Fadhlan Hafizhelmi Kamaru Zaman Malaysia

Orhan Bulan United States

Zhijie Fang China

Wanli Xue China

Daniel Raviv United States

Xiaohan Yang China

Fang Lin

133 ×0.5

CVPR

75 ×0.8

27 ×0.5

CSE

27 ×0.5

54 ×1.1

EEE

Citations per year, relative to Fang Lin Fang Lin (= 1×) peers Xiaohan Yang

Countries citing papers authored by Fang Lin

Since Specialization

Citations

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

Fields of papers citing papers by Fang Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Lin

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

Lin, Fang, Zhelong Wang, Zhenglin Li, et al.. (2025). Fine-Grained Assessment of Upper-Limb Bradykinesia Through Multimodal Feature Enhancement and Deep Learning. IEEE Transactions on Human-Machine Systems. 55(4). 508–518. 1 indexed citations

Shi, Xin, Zhelong Wang, Sen Qiu, et al.. (2025). Wearable gait analysis of Cervical Spondylotic Myelopathy patients by fusing bipedal inertial information. Information Fusion. 120. 103115–103115. 2 indexed citations

Wang, Zhelong, et al.. (2024). Method for Incomplete and Imbalanced Data Based on Multivariate Imputation by Chained Equations and Ensemble Learning. IEEE Journal of Biomedical and Health Informatics. 28(5). 3102–3113. 7 indexed citations

Wang, Zhelong, et al.. (2024). A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning. Information Fusion. 111. 102504–102504. 2 indexed citations

Lin, Fang, Zhelong Wang, Hongyu Zhao, et al.. (2023). Hand Movement Recognition and Salient Tremor Feature Extraction With Wearable Devices in Parkinson’s Patients. IEEE Transactions on Cognitive and Developmental Systems. 16(1). 284–295. 7 indexed citations

Lin, Fang, Zhelong Wang, Hongyu Zhao, et al.. (2022). Adaptive Multi-Modal Fusion Framework for Activity Monitoring of People With Mobility Disability. IEEE Journal of Biomedical and Health Informatics. 26(8). 4314–4324. 15 indexed citations

Liu, Ruichen, Zhelong Wang, Sen Qiu, et al.. (2022). A Wearable Gait Analysis and Recognition Method for Parkinson’s Disease Based on Error State Kalman Filter. IEEE Journal of Biomedical and Health Informatics. 26(8). 4165–4175. 21 indexed citations

Shi, Xin, Zhelong Wang, Hongyu Zhao, et al.. (2022). Threshold-Free Phase Segmentation and Zero Velocity Detection for Gait Analysis Using Foot-Mounted Inertial Sensors. IEEE Transactions on Human-Machine Systems. 53(1). 176–186. 40 indexed citations

Liu, Ruichen, Zhelong Wang, Hongyu Zhao, et al.. (2022). Quantitative Analysis of Lower Limb Motion in Parkinson’s Disease Based on Inertial Sensors. IEEE Sensors Journal. 22(21). 20937–20946. 7 indexed citations

10.

Jiang, Hai, et al.. (2022). Advanced RetinexNet: A fully convolutional network for low-light image enhancement. Signal Processing Image Communication. 112. 116916–116916. 14 indexed citations

11.

Jiang, Hai, et al.. (2022). R2RNet: Low-light image enhancement via Real-low to Real-normal Network. Journal of Visual Communication and Image Representation. 90. 103712–103712. 198 indexed citations breakdown →

12.

Liu, Hui, et al.. (2021). Wind Power Short-Term Forecasting Based on LSTM Neural Network With Dragonfly Algorithm. Journal of Physics Conference Series. 1748(3). 32015–32015. 9 indexed citations

13.

Lin, Fang, et al.. (2021). A Novel Index (RI) to Evaluate the Relative Stability of Soils Using Ultrasonic Agitation. Sustainability. 13(8). 4229–4229. 4 indexed citations

14.

Jiang, Hai, et al.. (2021). A Visual Navigation System for UAV under Diverse Illumination Conditions. Applied Artificial Intelligence. 35(15). 1529–1549. 18 indexed citations

15.

Xu, Guizhi, et al.. (2020). An idle state-detecting method based on transient visual evoked potentials for an asynchronous ERP-based BCI. Journal of Neuroscience Methods. 337. 108670–108670. 12 indexed citations

16.

Yang, Xianfeng, et al.. (2020). Eco-Driving System for Connected Automated Vehicles: Multi-Objective Trajectory Optimization. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7837–7849. 65 indexed citations

17.

Yang, Chuan, et al.. (2020). Long noncoding RNA TANCR promotes γδ T cells activation by regulating TRAIL expression in cis. Cell & Bioscience. 10(1). 10 indexed citations

18.

Lin, Fang, et al.. (2012). Investigation of different boundary treatment methods in Monte‐Carlo simulations of diffusion NMR. Magnetic Resonance in Medicine. 70(4). 1167–1172. 11 indexed citations

19.

Lin, Fang, et al.. (2009). [Spectra analyses of chitosans degraded by hydrogen peroxide under optimal conditions].. PubMed. 29(1). 43–7. 6 indexed citations

20.

Lin, Fang, et al.. (2007). Synthesis and structural characterization of methacrylic acid/octadecyl acrylate‐graft‐poly(methylhydrosiloxane) by hydrosilylation. Journal of Applied Polymer Science. 107(6). 3773–3780. 13 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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