Jiasi Chen

2.9k total citations · 2 hit papers
51 papers, 2.0k citations indexed

About

Jiasi Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jiasi Chen has authored 51 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Networks and Communications and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Jiasi Chen's work include Augmented Reality Applications (10 papers), Image and Video Quality Assessment (9 papers) and Robotics and Sensor-Based Localization (8 papers). Jiasi Chen is often cited by papers focused on Augmented Reality Applications (10 papers), Image and Video Quality Assessment (9 papers) and Robotics and Sensor-Based Localization (8 papers). Jiasi Chen collaborates with scholars based in United States, South Korea and China. Jiasi Chen's co-authors include Xukan Ran, Zhenming Liu, Xiaodan Zhu, Mung Chiang, K. K. Ramakrishnan, Rajesh Mahindra, Sampath Rangarajan, Srikanth V. Krishnamurthy, Maria Gorlatova and Amit K. Roy–Chowdhury and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Jiasi Chen

43 papers receiving 1.9k citations

Hit Papers

Deep Learning With Edge Computing: A Review 2018 2026 2020 2023 2019 2018 250 500 750
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. Deep Learning With Edge Computing: A Review
    2019 920 citations Jiasi Chen, Xukan Ran Proceedings of the IEEE profile →
  2. DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics
    2018 309 citations Xukan Ran, Xiaodan Zhu 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
Jiasi Chen United States 16 920 866 530 411 174 51 2.0k
Тао Чен China 18 554 0.6× 593 0.7× 496 0.9× 298 0.7× 174 1.0× 133 1.8k
Xiaoqiang Ma China 27 461 0.5× 939 1.1× 742 1.4× 343 0.8× 155 0.9× 76 1.9k
Fangxin Wang China 23 643 0.7× 701 0.8× 409 0.8× 248 0.6× 212 1.2× 96 1.6k
Hongbin Sun China 24 663 0.7× 584 0.7× 549 1.0× 366 0.9× 64 0.4× 128 1.9k
Lijuan Sun China 21 440 0.5× 427 0.5× 578 1.1× 402 1.0× 233 1.3× 110 1.4k
Xukan Ran United States 7 671 0.7× 643 0.7× 333 0.6× 383 0.9× 64 0.4× 9 1.5k
Mayank Dave India 27 709 0.8× 1.0k 1.2× 547 1.0× 480 1.2× 333 1.9× 166 2.3k
Xiaoming Tao China 24 748 0.8× 749 0.9× 748 1.4× 681 1.7× 192 1.1× 154 2.4k
Jun Lin China 26 565 0.6× 589 0.7× 989 1.9× 650 1.6× 89 0.5× 157 2.3k
Dong Xuan United States 26 984 1.1× 1.7k 1.9× 884 1.7× 373 0.9× 155 0.9× 94 3.0k

Countries citing papers authored by Jiasi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiasi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiasi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiasi Chen. A scholar is included among the top collaborators of Jiasi Chen 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 Jiasi Chen. Jiasi Chen 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.
2.
Chen, Jiasi, et al.. (2025). User-Tailored Video Adaptation in Dynamic Environments. IEEE Internet of Things Journal. 12(14). 28011–28031.
3.
Chen, Jiasi, et al.. (2024). Priza: Throughput-Efficient DAS Clustering of WiFi-PLC Extenders in Enterprises. IEEE Transactions on Wireless Communications. 23(11). 16683–16696.
4.
Wen, Ruizhi, Xianghua Chai, Pingping Wang, et al.. (2024). Inhibitory Effect and Mechanism of Dancong Tea from Different Harvesting Season on the α-Glucosidase Inhibition In Vivo and In Vitro. Foods. 13(24). 4183–4183. 1 indexed citations
5.
Huang, Zijian, et al.. (2024). Integrating Mixed Reality and Body Weight Support Technology for Immersive Pediatric Rehabilitation. PubMed. 2024. 1–4. 1 indexed citations
6.
Chen, Jiasi, et al.. (2023). Step by Step: A Gradual Approach for Dense Video Captioning. IEEE Access. 11. 51949–51959. 8 indexed citations
7.
Chen, Jiasi, et al.. (2023). PWS-DVC: Enhancing Weakly Supervised Dense Video Captioning With Pretraining Approach. IEEE Access. 11. 128162–128174. 1 indexed citations
8.
Hang, Ching Nam, et al.. (2023). Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review. Big Data and Cognitive Computing. 7(2). 108–108. 13 indexed citations
9.
Wang, Ying, et al.. (2023). Flooding-based MobileNet to identify cucumber diseases from leaf images in natural scenes. Computers and Electronics in Agriculture. 213. 108166–108166. 27 indexed citations
10.
Chen, Jiasi, et al.. (2022). ABRaider: Multiphase Reinforcement Learning for Environment-Adaptive Video Streaming. IEEE Access. 10. 53108–53123. 2 indexed citations
11.
Chen, Jiasi, et al.. (2022). Parallel Pathway Dense Video Captioning With Deformable Transformer. IEEE Access. 10. 129899–129910. 13 indexed citations
12.
Huang, Jingwen, et al.. (2021). VIA: Visibility-aware Web-based Virtual Reality. 1–9. 3 indexed citations
13.
Chen, Jiasi, et al.. (2021). Will it Move?. 174–176. 2 indexed citations
14.
Liu, Shengxin, Carlee Joe‐Wong, Jiasi Chen, et al.. (2020). Economic Viability of a Virtual ISP. IEEE/ACM Transactions on Networking. 28(2). 902–916. 2 indexed citations
15.
Chen, Jiasi, et al.. (2020). Joint User Clustering and Beamforming in Non-Orthogonal Multiple Access Networks. IEEE Access. 8. 111355–111367. 3 indexed citations
16.
Chen, Jiasi & Xukan Ran. (2019). Deep Learning With Edge Computing: A Review. Proceedings of the IEEE. 107(8). 1655–1674. 920 indexed citations breakdown →
17.
Ran, Xukan, et al.. (2019). Frugal following. 96–109. 74 indexed citations
18.
Ran, Xukan, et al.. (2018). DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics. 1421–1429. 309 indexed citations breakdown →
19.
Lin, Tao, Hongjia Li, Haiyong Xie, et al.. (2016). Performance and Implications of RAN Caching in LTE Mobile Networks: A Real Traffic Analysis. 1–9. 8 indexed citations
20.
Chen, Jiasi, Mung Chiang, Jeffrey Erman, et al.. (2015). Fair and optimal resource allocation for LTE multicast (eMBMS): Group partitioning and dynamics. 1266–1274. 79 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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