En Li

3.7k total citations · 3 hit papers
8 papers, 2.4k citations indexed

About

En Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, En Li has authored 8 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in En Li's work include IoT and Edge/Fog Computing (5 papers), Advanced Neural Network Applications (4 papers) and Blockchain Technology Applications and Security (2 papers). En Li is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), Advanced Neural Network Applications (4 papers) and Blockchain Technology Applications and Security (2 papers). En Li collaborates with scholars based in China and United States. En Li's co-authors include Xu Chen, Zhi Zhou, Liekang Zeng, Junshan Zhang, Ke Luo, Wenying Zhou, Qiaoting Deng, Jiaquan Li, Degang Yang and Zize Liang and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Wireless Communications and IEEE Network.

In The Last Decade

En Li

8 papers receiving 2.3k citations

Hit Papers

Edge Intelligence: Paving the Last Mile of Artificial Int... 2018 2026 2020 2023 2019 2019 2018 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
    2019 1.4k citations Zhi Zhou, Xu Chen et al. Proceedings of the IEEE profile →
  2. Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
    2019 567 citations En Li, Liekang Zeng et al. IEEE Transactions on Wireless Communications profile →
  3. Edge Intelligence
    2018 273 citations En Li, Zhi Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
En Li China 6 1.4k 803 723 720 342 8 2.4k
Liekang Zeng China 11 1.4k 1.1× 844 1.1× 760 1.1× 753 1.0× 353 1.0× 33 2.5k
He Li China 24 1.6k 1.2× 627 0.8× 369 0.5× 927 1.3× 536 1.6× 112 2.7k
Qi Qi China 25 1.5k 1.1× 911 1.1× 534 0.7× 703 1.0× 372 1.1× 225 2.6k
Xiaoheng Deng China 30 1.5k 1.1× 647 0.8× 646 0.9× 915 1.3× 496 1.5× 175 2.9k
Ke Luo China 8 817 0.6× 516 0.6× 380 0.5× 456 0.6× 242 0.7× 22 1.5k
Jiasi Chen United States 16 866 0.6× 411 0.5× 920 1.3× 530 0.7× 158 0.5× 51 2.0k
Heng Qi China 25 1.0k 0.8× 555 0.7× 399 0.6× 501 0.7× 483 1.4× 155 2.4k
Huaming Wu China 32 2.7k 2.0× 716 0.9× 723 1.0× 1.2k 1.7× 1.1k 3.3× 182 4.0k
Liang Huang China 21 1.4k 1.0× 441 0.5× 319 0.4× 846 1.2× 360 1.1× 109 2.1k
Jie Feng China 21 1.6k 1.2× 611 0.8× 210 0.3× 1.0k 1.4× 737 2.2× 70 2.4k

Countries citing papers authored by En Li

Since Specialization
Citations

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

Fields of papers citing papers by En Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of En Li

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

All Works

8 of 8 papers shown
1.
Li, En, et al.. (2023). IoT Access Control Model Based on Blockchain and Trusted Execution Environment. Processes. 11(3). 723–723. 18 indexed citations
2.
Li, En, et al.. (2021). Diagnostic values of MMP-7, MMP-9, MMP-11, TIMP-1, TIMP-2, CEA, and CA19-9 in patients with colorectal cancer. Journal of International Medical Research. 49(5). 3619073498–3619073498. 21 indexed citations
3.
Zeng, Liekang, En Li, Zhi Zhou, & Xu Chen. (2019). Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things. IEEE Network. 33(5). 96–103. 118 indexed citations
4.
Li, En, Liekang Zeng, Zhi Zhou, & Xu Chen. (2019). Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing. IEEE Transactions on Wireless Communications. 19(1). 447–457. 567 indexed citations breakdown →
5.
Zhou, Zhi, Xu Chen, En Li, et al.. (2019). Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing. Proceedings of the IEEE. 107(8). 1738–1762. 1385 indexed citations breakdown →
6.
Li, En, Zhi Zhou, & Xu Chen. (2018). Edge Intelligence. 31–36. 273 indexed citations breakdown →
7.
Li, En. (2015). Functional Neuroimaging and Its Applications to Critical Brain Diseases. Scientia Sinica Vitae. 1 indexed citations
8.

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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2026