Keqiu Li

5.3k total citations
264 papers, 3.7k citations indexed

About

Keqiu Li is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Keqiu Li has authored 264 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Networks and Communications, 95 papers in Information Systems and 52 papers in Electrical and Electronic Engineering. Recurrent topics in Keqiu Li's work include Cloud Computing and Resource Management (75 papers), Caching and Content Delivery (56 papers) and Software-Defined Networks and 5G (47 papers). Keqiu Li is often cited by papers focused on Cloud Computing and Resource Management (75 papers), Caching and Content Delivery (56 papers) and Software-Defined Networks and 5G (47 papers). Keqiu Li collaborates with scholars based in China, Japan and United States. Keqiu Li's co-authors include Heng Qi, Wenyu Qu, Yanming Shen, Geyong Min, Xiulong Liu, Uchechukwu Awada, Changqing Ji, Hongjuan Li, Xiaoyi Tao and Kaoru Ota and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Scientific Reports.

In The Last Decade

Keqiu Li

254 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keqiu Li China 34 2.1k 1.1k 906 615 521 264 3.7k
Munam Ali Shah Pakistan 31 1.9k 0.9× 1.0k 0.9× 985 1.1× 712 1.2× 345 0.7× 202 3.7k
M. Mazhar Rathore South Korea 26 1.1k 0.5× 701 0.6× 432 0.5× 615 1.0× 385 0.7× 65 3.0k
Klaus Moessner United Kingdom 34 3.2k 1.5× 680 0.6× 2.5k 2.8× 607 1.0× 525 1.0× 278 4.9k
Deze Zeng China 37 3.5k 1.7× 1.6k 1.4× 1.8k 2.0× 1.2k 2.0× 489 0.9× 199 5.4k
Saurabh Singh South Korea 29 1.6k 0.8× 1.6k 1.4× 542 0.6× 1.3k 2.0× 994 1.9× 74 4.8k
S. Neelakandan India 30 754 0.4× 448 0.4× 519 0.6× 743 1.2× 360 0.7× 75 2.5k
Abid Khan Pakistan 26 879 0.4× 884 0.8× 382 0.4× 846 1.4× 160 0.3× 139 2.3k
Jerry Gao United States 33 967 0.5× 1.6k 1.4× 226 0.2× 733 1.2× 491 0.9× 181 3.4k
Siobhán Clarke Ireland 28 1.8k 0.8× 1.8k 1.6× 678 0.7× 1.5k 2.4× 581 1.1× 187 4.1k
Ahmed Alkhayyat Iraq 29 1.0k 0.5× 559 0.5× 863 1.0× 676 1.1× 533 1.0× 419 3.4k

Countries citing papers authored by Keqiu Li

Since Specialization
Citations

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

Fields of papers citing papers by Keqiu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keqiu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Keqiu Li. A scholar is included among the top collaborators of Keqiu Li 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 Keqiu Li. Keqiu Li 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.
Wang, Lei, Deke Guo, Huaming Wu, Keqiu Li, & Wei Yu. (2024). TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting. Information Fusion. 105. 102229–102229. 25 indexed citations
2.
Pan, Chenyu, et al.. (2024). RespEnh: A Technique for Enhancing Respiration Sensing in Interference Scenarios With Wi-Fi Signal. IEEE Internet of Things Journal. 11(22). 36534–36548. 1 indexed citations
3.
Liu, Xiulong, et al.. (2024). CubeChain: Generalized Query Framework for Intra- and Cross-Chain Scenarios. 345–355. 1 indexed citations
4.
Liu, Xiulong, Bojun Zhang, Xin Xie, et al.. (2024). A Wireless Signal Correlation Learning Framework for Accurate and Robust Multi-Modal Sensing. IEEE Journal on Selected Areas in Communications. 42(9). 2424–2439. 3 indexed citations
5.
Liu, Xiulong, Bojun Zhang, Lizhang Wang, et al.. (2024). Fine-Grained Recognition of Manipulation Activities on Objects via Multi-Modal Sensing. IEEE Transactions on Mobile Computing. 23(10). 9614–9628. 1 indexed citations
6.
Zhou, Xiaobo, et al.. (2024). Toward High-Quality Low-Latency 360° Video Streaming With Edge–Client Collaborative Caching and Super-Resolution. IEEE Internet of Things Journal. 11(17). 29020–29034. 3 indexed citations
7.
Zhao, Laiping, et al.. (2023). Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing. ACM Transactions on Computer Systems. 42(1-2). 1–37. 1 indexed citations
8.
Zhao, Laiping, et al.. (2023). Flame: A Centralized Cache Controller for Serverless Computing. 153–168. 4 indexed citations
9.
Zhou, Xiaobo, et al.. (2023). MADRL-Based Joint Edge Caching and Bitrate Selection for Multicategory 360° Video Streaming. IEEE Internet of Things Journal. 11(1). 584–596. 9 indexed citations
10.
Zhao, Laiping, Yiming Li, Huanyu Zhang, et al.. (2022). INFless: a native serverless system for low-latency, high-throughput inference. 768–781. 74 indexed citations
11.
Zhao, Laiping, et al.. (2022). SDCBench: A Benchmark Suite for Workload Colocation and Evaluation in Datacenters. SHILAP Revista de lepidopterología. 2022. 1 indexed citations
12.
Zhou, Xiaobo, et al.. (2022). QoE-oriented Adaptive Video Streaming with Edge-Client Collaborative Super-Resolution. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 6158–6163. 4 indexed citations
13.
Yuan, Xu, et al.. (2020). Endpoint-Flexible Coflow Scheduling Across Geo-Distributed Datacenters. IEEE Transactions on Parallel and Distributed Systems. 31(10). 2466–2481. 11 indexed citations
14.
Li, Keqiu, et al.. (2020). Scheduling Mix-Coflows in Datacenter Networks. IEEE Transactions on Network and Service Management. 18(2). 2002–2015. 7 indexed citations
15.
Li, Keqiu, et al.. (2020). Efficient Online Scheduling for Coflow-Aware Machine Learning Clusters. IEEE Transactions on Cloud Computing. 10(4). 2564–2579. 11 indexed citations
16.
Qi, Heng, et al.. (2019). FlowTracer: An Effective Flow Trajectory Detection Solution Based on Probabilistic Packet Tagging in SDN-Enabled Networks. IEEE Transactions on Network and Service Management. 16(4). 1884–1898. 7 indexed citations
17.
Zhao, Laiping, et al.. (2019). On evaluating the resource usage effectiveness of multi-tenant cloud storage. Journal of Systems Architecture. 98. 403–412. 1 indexed citations
18.
Li, Keqiu, et al.. (2018). A Cascading Failure Model for Command and Control Networks with Hierarchy Structure. Security and Communication Networks. 2018. 1–14. 5 indexed citations
19.
Qi, Heng, et al.. (2018). A decision‐making solution for cloud storage system. Concurrency and Computation Practice and Experience. 30(20). 2 indexed citations
20.
Li, Keqiu, et al.. (2017). Compact, Popularity-Aware and Adaptive Hybrid Data Placement Schemes for Heterogeneous Cloud Storage. IEEE Access. 5. 1306–1318. 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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