Xiaokai Yi

990 total citations · 1 hit paper
11 papers, 662 citations indexed

About

Xiaokai Yi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Xiaokai Yi has authored 11 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Xiaokai Yi's work include Video Coding and Compression Technologies (5 papers), Advanced Image Processing Techniques (4 papers) and Image and Video Quality Assessment (3 papers). Xiaokai Yi is often cited by papers focused on Video Coding and Compression Technologies (5 papers), Advanced Image Processing Techniques (4 papers) and Image and Video Quality Assessment (3 papers). Xiaokai Yi collaborates with scholars based in China, Hong Kong and Pakistan. Xiaokai Yi's co-authors include Zhaoqing Pan, Yuhui Zheng, Asifullah Khan, Weijie Yu, Yuan Feng, Sam Kwong, Yun Zhang, Byeungwoo Jeon, Liming Chen and C.‐C. Jay Kuo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Xiaokai Yi

11 papers receiving 634 citations

Hit Papers

Recent Progress on Generative Adversarial Networks (GANs)... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaokai Yi China 8 363 201 109 53 42 11 662
Weijie Yu China 9 301 0.8× 215 1.1× 82 0.8× 102 1.9× 38 0.9× 20 678
Yuhan Zhang China 7 458 1.3× 296 1.5× 101 0.9× 23 0.4× 34 0.8× 21 784
Yunlian Sun China 12 430 1.2× 199 1.0× 107 1.0× 57 1.1× 27 0.6× 26 624
Alaaeldin El-Nouby Sweden 4 438 1.2× 352 1.8× 75 0.7× 49 0.9× 28 0.7× 6 835
Xiaoqiang Li China 16 414 1.1× 174 0.9× 69 0.6× 60 1.1× 106 2.5× 115 918
Hongmei Wang China 12 213 0.6× 198 1.0× 91 0.8× 44 0.8× 39 0.9× 70 543
Qi Fan China 9 435 1.2× 280 1.4× 76 0.7× 26 0.5× 77 1.8× 27 686
Ningzhong Liu China 15 377 1.0× 138 0.7× 68 0.6× 59 1.1× 26 0.6× 60 640
K. N. Balasubramanya Murthy India 12 252 0.7× 148 0.7× 79 0.7× 40 0.8× 38 0.9× 68 538
Feng Su China 13 301 0.8× 141 0.7× 98 0.9× 31 0.6× 33 0.8× 100 701

Countries citing papers authored by Xiaokai Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokai Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokai Yi

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

All Works

11 of 11 papers shown
1.
Li, Qinyu, Hanli Wang, & Xiaokai Yi. (2024). Learning topic emotion and logical semantic for video paragraph captioning. Displays. 83. 102706–102706. 1 indexed citations
2.
Yi, Xiaokai, Hanli Wang, Sam Kwong, & C.‐C. Jay Kuo. (2022). Task-Driven Video Compression for Humans and Machines: Framework Design and Optimization. IEEE Transactions on Multimedia. 25. 8091–8102. 14 indexed citations
3.
Wang, Hanli, et al.. (2022). Joint Graph Attention and Asymmetric Convolutional Neural Network for Deep Image Compression. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 421–433. 38 indexed citations
4.
Pan, Zhaoqing, Xiaokai Yi, Yun Zhang, et al.. (2020). Frame-level Bit Allocation Optimization Based on<?brk?> Video Content Characteristics for HEVC. ACM Transactions on Multimedia Computing Communications and Applications. 16(1). 1–20. 23 indexed citations
5.
Pan, Zhaoqing, Xiaokai Yi, Yun Zhang, Byeungwoo Jeon, & Sam Kwong. (2020). Efficient In-Loop Filtering Based on Enhanced Deep Convolutional Neural Networks for HEVC. IEEE Transactions on Image Processing. 29. 5352–5366. 69 indexed citations
6.
Pan, Zhaoqing, Weijie Yu, Xiaokai Yi, et al.. (2019). Recent Progress on Generative Adversarial Networks (GANs): A Survey. IEEE Access. 7. 36322–36333. 422 indexed citations breakdown →
7.
He, Qin, Asifullah Khan, Yuhui Zheng, Xiaokai Yi, & Zhaoqing Pan. (2019). Low complexity versatile video coding for traffic surveillance system. International Journal of Sensor Networks. 30(2). 116–116. 4 indexed citations
8.
Pan, Zhaoqing, Qin He, Xiaokai Yi, Yuhui Zheng, & Asifullah Khan. (2019). Low complexity versatile video coding for traffic surveillance system. International Journal of Sensor Networks. 30(2). 116–116. 15 indexed citations
9.
Pan, Zhaoqing, Xiaokai Yi, & Liming Chen. (2018). Motion and disparity vectors early determination for texture video in 3D-HEVC. Multimedia Tools and Applications. 79(7-8). 4297–4314. 32 indexed citations
10.
Liu, Yaqing, et al.. (2018). Feature extraction based on information gain and sequential pattern for English question classification. IET Software. 12(6). 520–526. 38 indexed citations
11.
Liu, Yaqing, Xiaokai Yi, Rong Chen, & Yingjie Song. (2016). A Survey on Frameworks and Methods of Question Answering. 115–119. 6 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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