Tingxi Wen

720 total citations
28 papers, 471 citations indexed

About

Tingxi Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Tingxi Wen has authored 28 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Tingxi Wen's work include EEG and Brain-Computer Interfaces (7 papers), AI in cancer detection (4 papers) and Blind Source Separation Techniques (4 papers). Tingxi Wen is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), AI in cancer detection (4 papers) and Blind Source Separation Techniques (4 papers). Tingxi Wen collaborates with scholars based in China, Australia and Latvia. Tingxi Wen's co-authors include Zhongnan Zhang, Kelvin K. L. Wong, Jianlong Huang, Yu Du, Chuanbo Huang, Meihong Wang, Lizhen Wang, Yu Du, Yuguang Ye and Ming Qiu and has published in prestigious journals such as PLoS ONE, IEEE Access and Medicine.

In The Last Decade

Tingxi Wen

28 papers receiving 453 citations

Peers

Tingxi Wen

CVPR

Adil Deniz Duru Türkiye

Pengbo Zhang China

Chun-An Chou United States

Chee‐Ming Ting Malaysia

Álvaro A. Orozco Colombia

Rakesh Kumar Mahendran India

Guoliang Lu China

Sajid Saleem Pakistan

Pilar Gómez‐Gil Mexico

Yaman Akbulut Türkiye

Adil Deniz Duru Türkiye

Tingxi Wen

186 ×1.0

95 ×1.1

111 ×1.3

CVPR

51 ×0.8

62 ×1.0

Citations per year, relative to Tingxi Wen Tingxi Wen (= 1×) peers Adil Deniz Duru

Countries citing papers authored by Tingxi Wen

Since Specialization

Citations

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

Fields of papers citing papers by Tingxi Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingxi Wen

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

Wang, Lizhen, et al.. (2024). Automated Alzheimer's disease classification using deep learning models with Soft-NMS and improved ResNet50 integration. Journal of Radiation Research and Applied Sciences. 17(1). 100782–100782. 26 indexed citations

Wen, Tingxi, et al.. (2024). A novel adjunctive diagnostic method for bone cancer: Osteosarcoma cell segmentation based on Twin Swin Transformer with multi-scale feature fusion. Journal of bone oncology. 49. 100647–100647. 1 indexed citations

Wen, Tingxi, et al.. (2023). Cell image instance segmentation based on PolarMask using weak labels. Computer Methods and Programs in Biomedicine. 231. 107426–107426. 4 indexed citations

Wang, Lizhen, et al.. (2023). Radiologically based automated segmentation of cardiac MRI using an improved U-Net neural algorithm. Journal of Radiation Research and Applied Sciences. 16(4). 100704–100704. 2 indexed citations

Wen, Tingxi, et al.. (2022). Review of research on the instance segmentation of cell images. Computer Methods and Programs in Biomedicine. 227. 107211–107211. 21 indexed citations

Wen, Tingxi, et al.. (2021). Feature extraction based on Gabor filter and Support Vector Machine classifier in defect analysis of Thermoelectric Cooler Component. Computers & Electrical Engineering. 92. 107188–107188. 24 indexed citations

Wen, Tingxi, et al.. (2021). Dual-Sampling Attention Pooling for Graph Neural Networks on 3D Mesh. Computer Methods and Programs in Biomedicine. 208. 106250–106250. 7 indexed citations

Wen, Tingxi, Yu Du, Ting Pan, Chuanbo Huang, & Zhongnan Zhang. (2021). A Deep Learning-Based Classification Method for Different Frequency EEG Data. Computational and Mathematical Methods in Medicine. 2021. 1–13. 13 indexed citations

Wen, Tingxi, et al.. (2020). Faster R-CNN with improved anchor box for cell recognition. Mathematical Biosciences & Engineering. 17(6). 7772–7786. 8 indexed citations

10.

Wen, Tingxi, et al.. (2020). Multiswarm Artificial Bee Colony algorithm based on spark cloud computing platform for medical image registration. Computer Methods and Programs in Biomedicine. 192. 105432–105432. 14 indexed citations

11.

Liu, Liansheng, et al.. (2019). Comparative Research of Swarm Intelligence Clustering Algorithms for Analyzing Medical Data. IEEE Access. 7. 137560–137569. 20 indexed citations

12.

Wen, Tingxi, et al.. (2018). Colonoscopy procedure simulation: virtual reality training based on a real time computational approach. BioMedical Engineering OnLine. 17(1). 9–9. 12 indexed citations

13.

Wen, Tingxi & Zhongnan Zhang. (2018). Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. IEEE Access. 6. 25399–25410. 148 indexed citations

14.

Wen, Tingxi, et al.. (2017). A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN. Journal of X-Ray Science and Technology. 25(2). 287–300. 15 indexed citations

15.

Wen, Tingxi, et al.. (2016). WITHDRAWN: Automatic epileptic seizure detection in EEGs based on MF-DFA and SVM. Computerized Medical Imaging and Graphics. 1 indexed citations

16.

Wen, Tingxi, Zhongnan Zhang, & Kelvin K. L. Wong. (2016). Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation. PLoS ONE. 11(5). e0155176–e0155176. 48 indexed citations

17.

Wen, Tingxi. (2015). Prediction model for outburst of coal and gas based on QGA-LSSVM. Journal of Safety Science and Technology. 2 indexed citations

18.

Wen, Tingxi. (2014). Research on prediction of mine water inrush source identification——Xinzhuangzi coalfield as an example. Zhongguo anquan kexue xuebao. 4 indexed citations

19.

Wen, Tingxi. (2014). QGA-LSSVM model for mine water inrush source identification. Zhongguo anquan kexue xuebao. 2 indexed citations

20.

Wen, Tingxi. (2013). Neural network prediction of unit fuel consumption of mining truck. Nonferrous Metals. 1 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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