Xin Qi

1.3k total citations
44 papers, 838 citations indexed

About

Xin Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Xin Qi has authored 44 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Xin Qi's work include EEG and Brain-Computer Interfaces (5 papers), Error Correcting Code Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xin Qi is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Error Correcting Code Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xin Qi collaborates with scholars based in China, United States and United Kingdom. Xin Qi's co-authors include Shuaiqi Liu, Xin Zheng, Andrew C. Myers, Stephen Chong, K. Vikram, Jed Liu, Lantian Zheng, Kun Wang, Yudong Zhang and Lei Shu and has published in prestigious journals such as Communications of the ACM, IEEE Access and Renewable Energy.

In The Last Decade

Xin Qi

39 papers receiving 799 citations

Peers

Xin Qi
Galip Aydın Türkiye
Yun Luo China
Tawfik Al-Hadhrami United Kingdom
Fatih Ertam Türkiye
Arash Sharifi Iran
Miguel Rio United Kingdom
Yufei Han China
Zongqing Lu China
Dat Tran Australia
Kamran Siddique Malaysia
Galip Aydın Türkiye
Xin Qi
Citations per year, relative to Xin Qi Xin Qi (= 1×) peers Galip Aydın

Countries citing papers authored by Xin Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xin Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Qi. A scholar is included among the top collaborators of Xin Qi 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 Xin Qi. Xin Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qi, Hengnian, et al.. (2025). MIRROR: Multi-scale iterative refinement for robust chinese text recognition. Engineering Applications of Artificial Intelligence. 146. 110270–110270.
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Qi, Hengnian, et al.. (2025). AncientGlyphNet: an advanced deep learning framework for detecting ancient Chinese characters in complex scene. Artificial Intelligence Review. 58(3). 3 indexed citations
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Qi, Xin, et al.. (2024). MFGCN: Multimodal fusion graph convolutional network for speech emotion recognition. Neurocomputing. 611. 128646–128646. 6 indexed citations
7.
Wang, Yong, et al.. (2024). Autonomous Driving System Driven by Artificial Intelligence Perception Fusion. Academic Journal of Science and Technology. 9(2). 193–198. 16 indexed citations
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Li, Yating, et al.. (2023). Student behavior recognition for interaction detection in the classroom environment. Image and Vision Computing. 136. 104726–104726. 30 indexed citations
10.
Sun, Liang, Yunling Zhang, Hongwei Ge, et al.. (2022). TSINet: Efficient Breast Lesion Segmentation with Three-Stream Interactive Neural Network on Magnetic Resonance Images. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 71. 813–816.
11.
Qi, Xin, et al.. (2020). LLR: Learning learning rates by LSTM for training neural networks. Neurocomputing. 394. 41–50. 63 indexed citations
12.
Liu, Shuaiqi, Ling Zhao, Xu Wang, et al.. (2020). Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity Disorder. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 1–10. 44 indexed citations
13.
Liu, Shuaiqi, Xu Wang, Ling Zhao, et al.. (2020). Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(5). 1710–1721. 80 indexed citations
14.
Qi, Xin, et al.. (2019). S-DenseNet: A DenseNet Compression Model Based on Convolution Grouping Strategy Using Skyline Method. IEEE Access. 7. 183604–183613. 7 indexed citations
15.
Liu, Shuaiqi, et al.. (2019). Diffusion tensor imaging denoising based on Riemann nonlocal similarity. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5369–5382. 6 indexed citations
16.
Lin, Chen-Yun, et al.. (2018). Manifold Learning via the Principle Bundle Approach. Frontiers in Applied Mathematics and Statistics. 4. 2 indexed citations
17.
Xu, Xiaofei, Limin Xiao, Xin Qi, & Jing Wang. (2013). Performance analysis of a selective decode-and-forward cooperative system with SFBC and BICM-OFDM. 1. 6–11. 1 indexed citations
18.
Xing, Fuyong, David J. Foran, Lin Yang, & Xin Qi. (2012). A Fast, Automatic Segmentation Algorithm for Locating and Delineating Touching Cell Boundaries in Imaged Histopathology. Methods of Information in Medicine. 51(3). 260–267. 5 indexed citations
19.
Qi, Xin, Douglas Y. Rowland, Michael Sivak, & Andrew M. Rollins. (2006). Computer-aided diagnosis of dysplasia in Barrett's esophagus using multiple endoscopic OCT images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6079. 60790I–60790I. 4 indexed citations
20.
Qi, Xin, Ming Zhao, Shidong Zhou, & Jian Wang. (2005). Multidimensional modulation used in BICM-ID. Electronics Letters. 41(3). 140–142. 3 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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