Ruofan Wang

1.3k total citations
64 papers, 934 citations indexed

About

Ruofan Wang is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ruofan Wang has authored 64 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Ruofan Wang's work include EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (18 papers) and Functional Brain Connectivity Studies (16 papers). Ruofan Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (22 papers), Neural dynamics and brain function (18 papers) and Functional Brain Connectivity Studies (16 papers). Ruofan Wang collaborates with scholars based in China, United States and Hong Kong. Ruofan Wang's co-authors include Jiang Wang, Haitao Yu, Bin Deng, Xile Wei, Yunyun Yang, Lihui Cai, Chen Yang, Yibin Cao, Zhenxi Song and Lin Zhu and has published in prestigious journals such as Applied Catalysis B: Environmental, Chemical Engineering Journal and Environmental Pollution.

In The Last Decade

Ruofan Wang

54 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruofan Wang China	16	483	140	108	86	80	64	934
Matteo Fraschini Italy	20	805 1.7×	88 0.6×	55 0.5×	76 0.9×	81 1.0×	65	1.2k
Mohammad-Parsa Hosseini United States	11	457 0.9×	87 0.6×	74 0.7×	110 1.3×	108 1.4×	14	766
Yunyuan Gao China	17	636 1.3×	85 0.6×	155 1.4×	123 1.4×	91 1.1×	59	898
Sugondo Hadiyoso Indonesia	14	284 0.6×	76 0.5×	132 1.2×	109 1.3×	170 2.1×	150	729
S. Thomas George India	17	452 0.9×	97 0.7×	79 0.7×	161 1.9×	143 1.8×	69	907
Zafer İşcan Türkiye	10	372 0.8×	118 0.8×	36 0.3×	63 0.7×	47 0.6×	19	569
Yanna Zhao China	15	340 0.7×	58 0.4×	40 0.4×	53 0.6×	86 1.1×	53	640
Xiangguo Yan China	16	615 1.3×	51 0.4×	129 1.2×	68 0.8×	132 1.6×	34	816
Hao Tang China	19	333 0.7×	411 2.9×	108 1.0×	158 1.8×	53 0.7×	101	1.2k
Ömer Faruk Alçin Türkiye	16	365 0.8×	60 0.4×	56 0.5×	138 1.6×	134 1.7×	39	685

Countries citing papers authored by Ruofan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ruofan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruofan Wang

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

Gu, Hao, et al.. (2025). Global burden and trends of breast cancer: GLOBOCAN 2022 estimates of incidence and mortality in 185 countries. Chinese Medical Journal. 139(3). 404–414.

Pan, Aimin, Mideth Abisado, Ruofan Wang, & Nan Wang. (2025). Audio depression recognition based on deep learning. 7–7.

Wang, Ruofan, et al.. (2025). A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation. Pattern Recognition. 170. 112082–112082. 2 indexed citations

Xu, Yiqian, et al.. (2024). Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition. IEEE Access. 12. 122852–122877.

Zhu, Lei, Xinfu Zhang, Jiahui Li, et al.. (2024). The Influence of Coal Gangue Particle Size on Water Retention Characteristics. Advances in Civil Engineering. 2024(1). 3 indexed citations

Freger, Viatcheslav, et al.. (2024). Three-dimensional CFD modeling for hollow fiber gas separation membrane modules based on a dual porous media model. Chemical Engineering Science. 302. 120864–120864. 3 indexed citations

Wang, Ruofan, Jing Zhu, Xuanhao Wang, et al.. (2023). Adaptive machine learning method for photoacoustic computed tomography based on sparse array sensor data. Computer Methods and Programs in Biomedicine. 242. 107822–107822. 4 indexed citations

Wang, Ruofan, et al.. (2023). A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network. Frontiers in Aging Neuroscience. 15. 1160534–1160534. 3 indexed citations

Ma, Siwei, et al.. (2023). Overview of intelligent video coding: from model-based to learning-based approaches. 1(1). 18 indexed citations

10.

Wang, Ruofan, et al.. (2023). A deep learning framework for identifying Alzheimer's disease using fMRI-based brain network. Frontiers in Neuroscience. 17. 1177424–1177424. 12 indexed citations

11.

He, Qiguang, et al.. (2023). EEG Recognition of Alzheimer's Disease Based on PCA and Latent Energy. 17–23.

12.

Wang, Ruofan, Jing Zhu, Jun Xia, et al.. (2023). Photoacoustic imaging with limited sampling: a review of machine learning approaches. Biomedical Optics Express. 14(4). 1777–1777. 13 indexed citations

13.

Li, Jue, et al.. (2023). Performance Prediction of a Dual-axis Tracking Solar Trough Collector Based on Artificial Neural Network. Journal of Physics Conference Series. 2636(1). 12040–12040.

14.

Yang, Yadong, et al.. (2022). Mechanism of biochar functional groups in the catalytic reduction of tetrachloroethylene by sulfides. Environmental Pollution. 300. 118921–118921. 25 indexed citations

15.

Yang, Yadong, Ruofan Wang, Longzhen Ding, et al.. (2020). Catalytic performance and mechanism of biochars for dechlorination of tetrachloroethylene in sulfide aqueous solution. Applied Catalysis B: Environmental. 278. 119285–119285. 25 indexed citations

16.

Che, Yanqiu, et al.. (2020). Spike-sorting analysis of neural electrical signals evoked by acupuncture based on model. Cognitive Neurodynamics. 15(1). 131–140. 2 indexed citations

17.

Yang, Yunyun, et al.. (2020). Level set formulation for automatic medical image segmentation based on fuzzy clustering. Signal Processing Image Communication. 87. 115907–115907. 23 indexed citations

18.

Wang, Jixuan, Bin Deng, Tianshi Gao, et al.. (2020). Frequency-dependent response in cortical network with periodic electrical stimulation. Chaos An Interdisciplinary Journal of Nonlinear Science. 30(7). 73130–73130. 5 indexed citations

19.

Tian, Lu, et al.. (2016). Modified Cauchy distribution model of high-order passive intermodulation. International Symposium on Antennas and Propagation. 1 indexed citations

20.

Wang, Ruofan, Jiang Wang, Haitao Yu, et al.. (2014). Power spectral density and coherence analysis of Alzheimer’s EEG. Cognitive Neurodynamics. 9(3). 291–304. 147 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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