Kai Lei

3.5k total citations
139 papers, 2.2k citations indexed

About

Kai Lei is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Kai Lei has authored 139 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Networks and Communications, 60 papers in Artificial Intelligence and 40 papers in Information Systems. Recurrent topics in Kai Lei's work include Caching and Content Delivery (43 papers), Topic Modeling (25 papers) and Cooperative Communication and Network Coding (20 papers). Kai Lei is often cited by papers focused on Caching and Content Delivery (43 papers), Topic Modeling (25 papers) and Cooperative Communication and Network Coding (20 papers). Kai Lei collaborates with scholars based in China, United States and Hong Kong. Kai Lei's co-authors include Ying Shen, Min Yang, Bo Bai, Meng Qin, Kuai Xu, Tong Jin, Min Yang, Yaliang Li, Gong Zhang and Qichao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Expert Systems with Applications.

In The Last Decade

Kai Lei

128 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Lei China	27	939	899	596	265	259	139	2.2k
Meng Jiang United States	31	2.2k 2.4×	554 0.6×	1.2k 1.9×	286 1.1×	404 1.6×	127	3.5k
Luciana S. Buriol Brazil	20	300 0.3×	733 0.8×	236 0.4×	387 1.5×	106 0.4×	67	1.7k
Jun Zhou China	22	1.3k 1.4×	248 0.3×	595 1.0×	81 0.3×	345 1.3×	161	1.9k
Chuxu Zhang United States	21	2.1k 2.2×	498 0.6×	805 1.4×	94 0.4×	421 1.6×	79	3.2k
Jianxin Li China	26	1.8k 1.9×	419 0.5×	691 1.2×	52 0.2×	315 1.2×	132	2.4k
Sen Su China	28	1.1k 1.2×	2.0k 2.2×	1.3k 2.2×	836 3.2×	199 0.8×	202	3.3k
Mausam Mausam India	25	2.1k 2.3×	339 0.4×	558 0.9×	57 0.2×	227 0.9×	81	2.8k
Santanu Kumar Rath India	26	1.2k 1.3×	498 0.6×	1.0k 1.7×	125 0.5×	116 0.4×	143	2.6k
Zhijun Ding China	22	402 0.4×	677 0.8×	779 1.3×	193 0.7×	126 0.5×	119	1.5k
Huan Zhao China	17	1.0k 1.1×	226 0.3×	977 1.6×	50 0.2×	346 1.3×	46	1.6k

Countries citing papers authored by Kai Lei

Since Specialization

Citations

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

Fields of papers citing papers by Kai Lei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Lei

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shan, Zhiguang, et al.. (2024). Blockchain-based cooperative game bilateral matching architecture for shared storage. Future Generation Computer Systems. 158. 122–137. 3 indexed citations

Lei, Kai, et al.. (2022). Measuring the Consistency Between Data and Control Plane in SDN. IEEE/ACM Transactions on Networking. 31(2). 511–525. 5 indexed citations

Lei, Kai, et al.. (2022). GBRM: a graph embedding and blockchain-based resource management framework for 5G MEC. The Journal of Supercomputing. 78(14). 16266–16285. 1 indexed citations

Zhang, Meimei, et al.. (2021). Comparative analysis of probabilistic forwarding strategies in ICN for edge computing. Peer-to-Peer Networking and Applications. 14(6). 4014–4030. 6 indexed citations

Chen, Chen, et al.. (2020). Reachability preserving compression for dynamic graph. Information Sciences. 520. 232–249. 5 indexed citations

Lei, Kai, et al.. (2020). Groupchain: Towards a Scalable Public Blockchain in Fog Computing of IoT Services Computing. IEEE Transactions on Services Computing. 13(2). 252–262. 113 indexed citations

Wu, Weijing, et al.. (2020). Answer Category-Aware Answer Selection for Question Answering. IEEE Access. 9. 126357–126365. 8 indexed citations

Yang, Min, et al.. (2020). Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Transactions on Neural Networks and Learning Systems. 32(1). 49–62. 26 indexed citations

Lei, Kai, et al.. (2020). Tag recommendation by text classification with attention-based capsule network. Neurocomputing. 391. 65–73. 35 indexed citations

10.

Lei, Kai, Jin Zhang, Yuexiang Xie, et al.. (2019). Path-based reasoning with constrained type attention for knowledge graph completion. Neural Computing and Applications. 32(11). 6957–6966. 15 indexed citations

11.

Shen, Ying, Min Yang, Buzhou Tang, et al.. (2019). KMR: knowledge-oriented medicine representation learning for drug–drug interaction and similarity computation. Journal of Cheminformatics. 11(1). 22–22. 18 indexed citations

12.

Shen, Ying, et al.. (2019). KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. Journal of Medical Systems. 43(4). 92–92. 19 indexed citations

13.

Wang, Dong, et al.. (2019). Enhancing Information Security via Physical Layer Approaches in Heterogeneous IoT With Multiple Access Mobile Edge Computing in Smart City. IEEE Access. 7. 54508–54521. 89 indexed citations

14.

Liu, Fenglin, Yuanxin Liu, Xuancheng Ren, Kai Lei, & Xu Sun. (2019). Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.. arXiv (Cornell University). 1 indexed citations

15.

Lei, Kai, et al.. (2019). Generative adversarial fusion network for class imbalance credit scoring. Neural Computing and Applications. 32(12). 8451–8462. 32 indexed citations

16.

Lei, Kai, Bing Zhang, Li Yu, Min Yang, & Ying Shen. (2019). Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading. Expert Systems with Applications. 140. 112872–112872. 69 indexed citations

17.

Shen, Ying, Lizhu Zhang, Jin Zhang, et al.. (2018). CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. Journal of Biomedical Informatics. 88. 1–10. 26 indexed citations

18.

Qin, Meng, et al.. (2018). Adaptive community detection incorporating topology and content in social networks✰. Knowledge-Based Systems. 161. 342–356. 55 indexed citations

19.

Yang, Min, et al.. (2018). Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing. 307. 91–97. 44 indexed citations

20.

Shen, Ying, Yaliang Li, Yang Deng, et al.. (2018). Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. IEEE Access. 6. 52095–52104. 4 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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