Kai Zhong

1.2k total citations
39 papers, 795 citations indexed

About

Kai Zhong is a scholar working on Computer Vision and Pattern Recognition, Geology and Artificial Intelligence. According to data from OpenAlex, Kai Zhong has authored 39 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Geology and 9 papers in Artificial Intelligence. Recurrent topics in Kai Zhong's work include Geological and Geophysical Studies (10 papers), Hydrocarbon exploration and reservoir analysis (8 papers) and Advanced Memory and Neural Computing (7 papers). Kai Zhong is often cited by papers focused on Geological and Geophysical Studies (10 papers), Hydrocarbon exploration and reservoir analysis (8 papers) and Advanced Memory and Neural Computing (7 papers). Kai Zhong collaborates with scholars based in China, United States and Australia. Kai Zhong's co-authors include Weilin Zhu, Gongcheng Zhang, Liangshu Wang, Minqiang Zhang, Inderjit S. Dhillon, Huazhong Yang, Qiang Xu, Xuefei Ning, Guyue Huang and Bei Yu and has published in prestigious journals such as Chemosphere, IEEE Transactions on Signal Processing and Earth-Science Reviews.

In The Last Decade

Kai Zhong

37 papers receiving 776 citations

Peers

Kai Zhong
Guangping Xu China
Chris Kirkham United Kingdom
Zhongpei Zhang China
Nuno M. M. Rodrigues Portugal
Xuan Chen China
Ling Guo China
Ming Deng China
Shunli Li China
Jian Fang China
Guangping Xu China
Kai Zhong
Citations per year, relative to Kai Zhong Kai Zhong (= 1×) peers Guangping Xu

Countries citing papers authored by Kai Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zhong. A scholar is included among the top collaborators of Kai Zhong 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 Kai Zhong. Kai Zhong 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.
Zhu, Weilin, et al.. (2024). Study of Cretaceous Provenance Tracing and Sedimentary Patterns in the Western Qiantang Sag, East China Sea Shelf Basin. Journal of Marine Science and Engineering. 12(3). 474–474. 1 indexed citations
2.
Zhong, Kai, Shulin Zeng, Zhenhua Zhu, et al.. (2024). DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. 1–6.
3.
4.
5.
Zhong, Kai, Zhenhua Zhu, Guohao Dai, et al.. (2024). FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. 349–366. 4 indexed citations
6.
Zhong, Kai, Xuefei Ning, Guohao Dai, et al.. (2022). Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5421–5434. 7 indexed citations
7.
Xü, Xinsheng, Xiaoli Xu, Ying Liu, Kai Zhong, & Haowei Zhang. (2021). Design of bionic active–passive hybrid-driven prosthesis based on gait analysis and simulation of compound control method. BioMedical Engineering OnLine. 20(1). 126–126. 5 indexed citations
8.
Huang, Guyue, Yifan He, Jialong Liu, et al.. (2021). Machine Learning for Electronic Design Automation: A Survey. ACM Transactions on Design Automation of Electronic Systems. 26(5). 1–46. 180 indexed citations
9.
Zeng, Shulin, Guohao Dai, Hanbo Sun, et al.. (2021). A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Transactions on Reconfigurable Technology and Systems. 15(3). 1–31. 3 indexed citations
10.
Ye, Kenny, et al.. (2021). AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews. 386–397. 1 indexed citations
11.
Zhu, Weilin, et al.. (2021). Geology and geochemistry of large gas fields in the deepwater areas, continental margin basins of northern South China Sea. Marine and Petroleum Geology. 126. 104901–104901. 28 indexed citations
12.
Zhu, Weilin, Jianhua Geng, Shouye Yang, et al.. (2020). The present-day Yangtze River was established in the late Miocene: Evidence from detrital zircon ages. Journal of Asian Earth Sciences. 205. 104600–104600. 28 indexed citations
13.
Zhong, Kai, Zhao Song, Prateek Jain, & Inderjit S. Dhillon. (2019). Provable Non-linear Inductive Matrix Completion. Neural Information Processing Systems. 32. 11435–11445. 4 indexed citations
14.
Zhong, Kai, Zhao Song, Prateek Jain, Peter L. Bartlett, & Inderjit S. Dhillon. (2017). Recovery Guarantees for One-hidden-layer Neural Networks. QUT ePrints (Queensland University of Technology). 4140–4149. 16 indexed citations
15.
Yen, Ian En-Hsu, Kai Zhong, Cho‐Jui Hsieh, Pradeep Ravikumar, & Inderjit S. Dhillon. (2015). Sparse Linear Programming via primal and dual augmented coordinate descent. Neural Information Processing Systems. 28. 2368–2376. 10 indexed citations
16.
Wang, Xiangyong, Hongxia Zhang, Lei Zhang, et al.. (2014). Assessment on dioxin-like compounds intake from various marine fish from Zhoushan Fishery, China. Chemosphere. 118. 163–169. 24 indexed citations
17.
Zhong, Kai, et al.. (2014). Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators. arXiv (Cornell University). 27. 2375–2383. 9 indexed citations
18.
Wang, Liangshu, Wenbo Yan, Shaowen Liu, et al.. (2013). The tectonic evolution of the Qiongdongnan Basin in the northern margin of the South China Sea. Journal of Asian Earth Sciences. 77. 163–182. 88 indexed citations
19.
Xu, Mingjie, Liangshu Wang, Jianhua Liu, et al.. (2006). Crust and uppermost mantle structure of the Ailaoshan-Red River fault from receiver function analysis. Science in China Series D Earth Sciences. 49(10). 1043–1052. 29 indexed citations
20.
Wang, Liangshu, et al.. (2005). STUDY ON CONTINENTAL DEFORMATION FEATURES IN SICHUAN-YUNNAN REGION FROM AEROMAGNETIC AND GRAVITY DATA. Diqiu kexue jinzhan. 20(10). 1089–1094. 2 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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