Kai Shen

922 total citations
32 papers, 567 citations indexed

About

Kai Shen is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Shen has authored 32 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 9 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Shen's work include Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (5 papers) and Distributed and Parallel Computing Systems (5 papers). Kai Shen is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (5 papers) and Distributed and Parallel Computing Systems (5 papers). Kai Shen collaborates with scholars based in China, United States and Hong Kong. Kai Shen's co-authors include Qiaoling Hu, Tao Yang, Min Fan, Lingkun Chu, Ming Zhong, Hong Tang, Hong Tang, Tao Yang, Xiangmin Jiao and Youliang Li and has published in prestigious journals such as Nature Communications, Physical review. B, Condensed matter and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kai Shen

31 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Shen China 13 236 109 106 76 57 32 567
Rong Luo China 17 160 0.7× 23 0.2× 43 0.4× 107 1.4× 110 1.9× 102 840
Junxue Zhang China 18 396 1.7× 305 2.8× 60 0.6× 34 0.4× 82 1.4× 54 831
Ji Eun Kim United States 8 102 0.4× 49 0.4× 57 0.5× 26 0.3× 119 2.1× 12 448
A. Kavitha India 10 58 0.2× 43 0.4× 77 0.7× 26 0.3× 84 1.5× 44 383
Jingyuan Fan China 12 437 1.9× 153 1.4× 15 0.1× 33 0.4× 74 1.3× 40 747
Dan Xu China 14 321 1.4× 79 0.7× 37 0.3× 10 0.1× 68 1.2× 49 590
Chuanpeng Li China 16 284 1.2× 131 1.2× 24 0.2× 160 2.1× 30 0.5× 45 721
Kaiyang Liu China 19 355 1.5× 132 1.2× 35 0.3× 7 0.1× 133 2.3× 64 1.0k
Yu Qin China 10 98 0.4× 145 1.3× 21 0.2× 74 1.0× 42 0.7× 50 574

Countries citing papers authored by Kai Shen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shen. A scholar is included among the top collaborators of Kai Shen 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 Shen. Kai Shen 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.
Peng, Li, Ziqiu Wang, Yingjie Zhao, et al.. (2024). Bidirectionally promoting assembly order for ultrastiff and highly thermally conductive graphene fibres. Nature Communications. 15(1). 409–409. 50 indexed citations
2.
Shen, Kai, Lingfei Wu, Siliang Tang, et al.. (2024). Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9648–9660.
3.
Li, Haoyuan, et al.. (2024). T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text. 3345–3356. 2 indexed citations
4.
Shen, Kai, et al.. (2024). Deep learning predicts prevalent and incident Parkinson’s disease from UK Biobank fundus imaging. Scientific Reports. 14(1). 3637–3637. 21 indexed citations
5.
Shen, Kai, et al.. (2023). AeroNet: An efficient relative localization and object detection network for cooperative aerial-ground unmanned vehicles. Pattern Recognition Letters. 171. 28–37. 3 indexed citations
6.
Shen, Kai & Baochun Li. (2023). Learning-Based Network Performance Estimators: The Next Frontier for Network Simulation. IEEE Network. 37(4). 97–103. 2 indexed citations
7.
Zhang, Dayou, Kai Shen, Fangxin Wang, Dan Wang, & Jiangchuan Liu. (2022). Towards Joint Loss and Bitrate Adaptation in Realtime Video Streaming. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 8 indexed citations
8.
Shen, Kai, Lingfei Wu, Siliang Tang, et al.. (2021). Learning to Generate Visual Questions with Noisy Supervision. Neural Information Processing Systems. 34. 4 indexed citations
9.
Shen, Kai, et al.. (2020). Incremental learning-based land mark recognition for mirco-UAV autonomous landing. 6786–6791. 2 indexed citations
10.
Hu, Qiaoling, Kai Shen, Ke Zhang, et al.. (2011). The preparation and characterization of chitosan rods modified with Fe3+ by a chelation mechanism. Carbohydrate Research. 346(6). 822–827. 74 indexed citations
11.
Fan, Min, Qiaoling Hu, & Kai Shen. (2009). Preparation and structure of chitosan soluble in wide pH range. Carbohydrate Polymers. 78(1). 66–71. 101 indexed citations
12.
Shen, Kai, et al.. (2007). A Flexible QoS Framework for Cluster-based Network Services. Physical review. B, Condensed matter. 48(21). 15873–15879. 4 indexed citations
13.
Zhong, Ming & Kai Shen. (2006). Popularity-Biased Random Walks for Peer-to-Peer Search under the Square-Root Principle.. 37 indexed citations
14.
Zhong, Ming, Justin B. Moore, Kai Shen, & Amy L. Murphy. (2005). An Evaluation and Comparison of Current Peer-to-Peer Full-Text Keyword Search Techniques.. 61–66. 9 indexed citations
15.
Shen, Kai, et al.. (2002). Clustering, resource management, and replication support for scalable network services. 1 indexed citations
16.
Shen, Kai, et al.. (2001). Neptune: scalable replication management and programming support for cluster-based network services. 17–17. 43 indexed citations
17.
Shen, Kai, Tao Yang, & Xiangmin Jiao. (2000). S+: Efficient 2D Sparse LU Factorization on Parallel Machines. SIAM Journal on Matrix Analysis and Applications. 22(1). 282–305. 14 indexed citations
18.
Tang, Hong, Kai Shen, & Tao Yang. (2000). Program transformation and runtime support for threaded MPI execution on shared-memory machines. ACM Transactions on Programming Languages and Systems. 22(4). 673–700. 21 indexed citations
19.
Jiang, Bin, et al.. (1999). Efficient Sparse LU Factorization with Lazy Space Allocation.. PPSC. 4 indexed citations
20.
Shen, Kai, Xiangmin Jiao, & Tao Yang. (1998). Elimination forest guided 2D sparse LU factorization. 5–15. 15 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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