Jiasi Chen

88 total papers · 2.9k total citations
49 papers, 1.9k 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 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 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, Sampath Rangarajan, Rajesh Mahindra, Srikanth V. Krishnamurthy, Maria Gorlatova and Amit K. Roy–Chowdhury and has published in prestigious journals such as Proceedings of the IEEE, IEEE Communications Magazine and IEEE Access.

In The Last Decade

Jiasi Chen

43 papers receiving 1.9k citations

Hit Papers

Deep Learning With Edge C... 2018 2026 2020 2023 2019 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jiasi Chen 903 865 525 406 172 49 1.9k
Xiaoqiang Ma 457 0.5× 937 1.1× 737 1.4× 337 0.8× 152 0.9× 76 1.9k
Xianping Tao 799 0.9× 576 0.7× 662 1.3× 293 0.7× 281 1.6× 80 1.6k
Тао Чен 553 0.6× 590 0.7× 495 0.9× 293 0.7× 172 1.0× 133 1.8k
Fangxin Wang 632 0.7× 692 0.8× 402 0.8× 242 0.6× 207 1.2× 94 1.6k
Mznah Al‐Rodhaan 492 0.5× 770 0.9× 445 0.8× 773 1.9× 121 0.7× 80 2.2k
Xiaofei He 440 0.5× 795 0.9× 543 1.0× 337 0.8× 120 0.7× 51 2.1k
Hongbin Sun 651 0.7× 581 0.7× 550 1.0× 359 0.9× 63 0.4× 127 1.9k
Ayman Altameem 678 0.8× 874 1.0× 646 1.2× 500 1.2× 99 0.6× 89 2.3k
Lenin Ravindranath 618 0.7× 1.1k 1.3× 896 1.7× 336 0.8× 271 1.6× 32 2.3k
Dong Xuan 980 1.1× 1.7k 1.9× 885 1.7× 370 0.9× 155 0.9× 93 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

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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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